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  • How to Create Views for All Tables with Oracle SQL Developer

    - by thatjeffsmith
    Got this question over the weekend via a friend and Oracle ACE Director, so I thought I would share the answer here. If you want to quickly generate DDL to create VIEWs for all the tables in your system, the easiest way to do that with SQL Developer is to create a data model. Wait, why would I want to do this? StackOverflow has a few things to say on this subject… So, start with importing a data dictionary. Step One: Open of Create a Model In SQL Developer, go to View – Data Modeler – Browser. Then in the browser panel, expand your design and create a new Relational Model. Step Two: Import your Data Dictionary This is a fancy way of saying, ‘suck objects out of the database into my model’ This will open a wizard to connect, select your schema(s), objects, etc. Once they’re in your model, you’re ready to cook with gas I’m using HR (Human Resources) for this example. You should end up with something that looks like this. Our favorite HR model Now we’re ready to generate the views! Step Three: Auto-generate the Views Go to Tools – Data Modeler – Table to View Wizard. I don’t want all my tables included, and I want to change the naming standard Decide if you want to change the default generated view names By default the views will be created as ‘V_TABLE_NAME.’ If you don’t like the ‘V_’ you can enter your own. You also can reference the object and model name with variables as shown in the screenshot above. I’m going to go with something a little more personal. The views are the little green boxes in the diagram Can’t find your views? They should be grouped together in your diagram. Don’t forget to use the Navigator to easily find and navigate to those model diagram objects! Step Four: Generate the DDL Ok, let’s use the Generate DDL button on the toolbar. Un-check everything but your views If you used a prefix, take advantage of that to create a filter. You might have existing views in your model that you don’t want to include, right? Once you click ‘OK’ the DDL will be generated. -- Generated by Oracle SQL Developer Data Modeler 4.0.0.825 -- at: 2013-11-04 10:26:39 EST -- site: Oracle Database 11g -- type: Oracle Database 11g CREATE OR REPLACE VIEW HR.TJS_BLOG_COUNTRIES ( COUNTRY_ID , COUNTRY_NAME , REGION_ID ) AS SELECT COUNTRY_ID , COUNTRY_NAME , REGION_ID FROM HR.COUNTRIES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_EMPLOYEES ( EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID FROM HR.EMPLOYEES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOBS ( JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY ) AS SELECT JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY FROM HR.JOBS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOB_HISTORY ( EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID FROM HR.JOB_HISTORY ; CREATE OR REPLACE VIEW HR.TJS_BLOG_LOCATIONS ( LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID ) AS SELECT LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID FROM HR.LOCATIONS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_REGIONS ( REGION_ID , REGION_NAME ) AS SELECT REGION_ID , REGION_NAME FROM HR.REGIONS ; -- Oracle SQL Developer Data Modeler Summary Report: -- -- CREATE TABLE 0 -- CREATE INDEX 0 -- ALTER TABLE 0 -- CREATE VIEW 6 -- CREATE PACKAGE 0 -- CREATE PACKAGE BODY 0 -- CREATE PROCEDURE 0 -- CREATE FUNCTION 0 -- CREATE TRIGGER 0 -- ALTER TRIGGER 0 -- CREATE COLLECTION TYPE 0 -- CREATE STRUCTURED TYPE 0 -- CREATE STRUCTURED TYPE BODY 0 -- CREATE CLUSTER 0 -- CREATE CONTEXT 0 -- CREATE DATABASE 0 -- CREATE DIMENSION 0 -- CREATE DIRECTORY 0 -- CREATE DISK GROUP 0 -- CREATE ROLE 0 -- CREATE ROLLBACK SEGMENT 0 -- CREATE SEQUENCE 0 -- CREATE MATERIALIZED VIEW 0 -- CREATE SYNONYM 0 -- CREATE TABLESPACE 0 -- CREATE USER 0 -- -- DROP TABLESPACE 0 -- DROP DATABASE 0 -- -- REDACTION POLICY 0 -- -- ERRORS 0 -- WARNINGS 0 You can then choose to save this to a file or not. This has a few steps, but as the number of tables in your system increases, so does the amount of time this feature can save you!

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  • Principles of Big Data By Jules J Berman, O&rsquo;Reilly Media Book Review

    - by Compudicted
    Originally posted on: http://geekswithblogs.net/Compudicted/archive/2013/11/04/principles-of-big-data-by-jules-j-berman-orsquoreilly-media.aspx A fantastic book! Must be part, if not yet, of the fundamentals of the Big Data as a field of science. Highly recommend to those who are into the Big Data practice. Yet, I confess this book is one of my best reads this year and for a number of reasons: The book is full of wisdom, intimate insight, historical facts and real life examples to how Big Data projects get conceived, operate and sadly, yes, sometimes die. But not only that, the book is most importantly is filled with valuable advice, accurate and even overwhelming amount of reference (from the positive side), and the author does not event stop there: there are numerous technical excerpts, links and examples allowing to quickly accomplish many daunting tasks or make you aware of what one needs to perform as a data practitioner (excuse my use of the word practitioner, I just did not find a better substitute to it to trying to reference all who face Big Data). Be aware that Jules Berman’s background is in medicine, naturally, this book discusses this subject a lot as it is very dear to the author’s heart I believe, this does not make this book any less significant however, quite the opposite, I trust if there is an area in science or practice where the biggest benefits can be ripped from Big Data projects it is indeed the medical science, let’s make Cancer history! On a personal note, for me as a database, BI professional it has helped to understand better the motives behind Big Data initiatives, their underwater rivers and high altitude winds that divert or propel them forward. Additionally, I was impressed by the depth and number of mining algorithms covered in it. I must tell this made me very curious and tempting to find out more about these indispensable attributes of Big Data so sure I will be trying stretching my wallet to acquire several books that go more in depth on several most popular of them. My favorite parts of the book, well, all of them actually, but especially chapter 9: Analysis, it is just very close to my heart. But the real reason is it let me see what I do with data from a different angle. And then the next - “Special Considerations”, they are just two logical parts. The writing language is of this book is very acceptable for all levels, I had no technical problem reading it in ebook format on my 8” tablet or a large screen monitor. If I would be asked to say at least something negative I have to state I had a feeling initially that the book’s first part reads like an academic material relaxing the reader as the book progresses forward. I admit I am impressed with Jules’ abilities to use several programming languages and OSS tools, bravo! And I agree, it is not too, too hard to grasp at least the principals of a modern programming language, which seems becomes a defacto knowledge standard item for any modern human being. So grab a copy of this book, read it end to end and make yourself shielded from making mistakes at any stage of your Big Data initiative, by the way this book also helps build better future Big Data projects. Disclaimer: I received a free electronic copy of this book as part of the O'Reilly Blogger Program.

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  • Markus Zirn, "Big Data with CEP and SOA" @ SOA, Cloud &amp; Service Technology Symposium 2012

    - by JuergenKress
    ORACLE PROMOTIONAL DISCOUNT FOR EXCLUSIVE ORACLE DISCOUNT, ENTER PROMO CODE: DJMXZ370 Early-Bird Registration is Now Open with Special Pricing! Register before July 1, 2012 to qualify for discounts. Visit the Registration page for details. The International SOA, Cloud + Service Technology Symposium is a yearly event that features the top experts and authors from around the world, providing a series of keynotes, talks, demonstrations, and panels, as well as training and certification workshops - all dedicated to empowering IT professionals to realize modern service technologies and practices in the real world. Click here for a two-page printable conference overview (PDF). Big Data with CEP and SOA - September 25, 2012 - 14:15 Speaker: Markus Zirn, Oracle and Baz Kuthi, Avocent The "Big Data" trend is driving new kinds of IT projects that process machine-generated data. Such projects store and mine using Hadoop/ Map Reduce, but they also analyze streaming data via event-driven patterns, which can be called "Fast Data" complementary to "Big Data". This session highlights how "Big Data" and "Fast Data" design patterns can be combined with SOA design principles into modern, event-driven architectures. We will describe specific architectures that combines CEP, Distributed Caching, Event-driven Network, SOA Composites, Application Development Framework, as well as Hadoop. Architecture patterns include pre-processing and filtering event streams as close as possible to the event source, in memory master data for event pattern matching, event-driven user interfaces as well as distributed event processing. Focus is on how "Fast Data" requirements are elegantly integrated into a traditional SOA architecture. Markus Zirn is Vice President of Product Management covering Oracle SOA Suite, SOA Governance, Application Integration Architecture, BPM, BPM Solutions, Complex Event Processing and UPK, an end user learning solution. He is the author of “The BPEL Cookbook” (rated best book on Services Oriented Architecture in 2007) as well as “Fusion Middleware Patterns”. Previously, he was a management consultant with Booz Allen & Hamilton’s High Tech practice in Duesseldorf as well as San Francisco and Vice President of Product Marketing at QUIQ. Mr. Zirn holds a Masters of Electrical Engineering from the University of Karlsruhe and is an alumnus of the Tripartite program, a joint European degree from the University of Karlsruhe, Germany, the University of Southampton, UK, and ESIEE, France. KEYNOTES & SPEAKERS More than 80 international subject matter experts will be speaking at the Symposium. Below are confirmed keynotes and speakers so far. Over 50% of the agenda has not yet been finalized. Many more speakers to come. View the partial program calendars on the Conference Agenda page. CONFERENCE THEMES & TRACKS Cloud Computing Architecture & Patterns New SOA & Service-Orientation Practices & Models Emerging Service Technology Innovation Service Modeling & Analysis Techniques Service Infrastructure & Virtualization Cloud-based Enterprise Architecture Business Planning for Cloud Computing Projects Real World Case Studies Semantic Web Technologies (with & without the Cloud) Governance Frameworks for SOA and/or Cloud Computing Projects Service Engineering & Service Programming Techniques Interactive Services & the Human Factor New REST & Web Services Tools & Techniques Oracle Specialized SOA & BPM Partners Oracle Specialized partners have proven their skills by certifications and customer references. To find a local Specialized partner please visit http://solutions.oracle.com SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Markus Zirn,SOA Symposium,Thomas Erl,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

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  • Where Next for Google Translate? And What of Information Quality?

    - by ultan o'broin
    Fascinating article in the UK Guardian newspaper called Can Google break the computer language barrier? In it, Andreas Zollman, who works on Google Translate, comments that the quality of Google Translate's output relative to the amount of data required to create that output is clearly now falling foul of the law of diminishing returns. He says: "Each doubling of the amount of translated data input led to about a 0.5% improvement in the quality of the output," he suggests, but the doublings are not infinite. "We are now at this limit where there isn't that much more data in the world that we can use," he admits. "So now it is much more important again to add on different approaches and rules-based models." The Translation Guy has a further discussion on this, called Google Translate is Finished. He says: "And there aren't that many doublings left, if any. I can't say how much text Google has assimilated into their machine translation databases, but it's been reported that they have scanned about 11% of all printed content ever published. So double that, and double it again, and once more, shoveling all that into the translation hopper, and pretty soon you get the sum of all human knowledge, which means a whopping 1.5% improvement in the quality of the engines when everything has been analyzed. That's what we've got to look forward to, at best, since Google spiders regularly surf the Web, which in its vastness dwarfs all previously published content. So to all intents and purposes, the statistical machine translation tools of Google are done. Outstanding job, Googlers. Thanks." Surprisingly, all this analysis hasn't raised that much comment from the fans of machine translation, or its detractors either for that matter. Perhaps, it's the season of goodwill? What is clear to me, however, of course is that Google Translate isn't really finished (in any sense of the word). I am sure Google will investigate and come up with new rule-based translation models to enhance what they have already and that will also scale effectively where others didn't. So too, will they harness human input, which really is the way to go to train MT in the quality direction. But that aside, what does it say about the quality of the data that is being used for statistical machine translation in the first place? From the Guardian article it's clear that a huge humanly translated corpus drove the gains for Google Translate and now what's left is the dregs of badly translated and poorly created source materials that just can't deliver quality translations. There's a message about information quality there, surely. In the enterprise applications space, where we have some control over content this whole debate reinforces the relationship between information quality at source and translation efficiency, regardless of the technology used to do the translation. But as more automation comes to the fore, that information quality is even more critical if you want anything approaching a scalable solution. This is important for user experience professionals. Issues like user generated content translation, multilingual personalization, and scalable language quality are central to a superior global UX; it's a competitive issue we cannot ignore.

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • OWB 11gR2 &ndash; OLAP and Simba

    - by David Allan
    Oracle Warehouse Builder was the first ETL product to provide a single integrated and complete environment for managing enterprise data warehouse solutions that also incorporate multi-dimensional schemas. The OWB 11gR2 release provides Oracle OLAP 11g deployment for multi-dimensional models (in addition to support for prior releases of OLAP). This means users can easily utilize Simba's MDX Provider for Oracle OLAP (see here for details and cost) which allows you to use the powerful and popular ad hoc query and analysis capabilities of Microsoft Excel PivotTables® and PivotCharts® with your Oracle OLAP business intelligence data. The extensions to the dimensional modeling capabilities have been built on established relational concepts, with the option to seamlessly move from a relational deployment model to a multi-dimensional model at the click of a button. This now means that ETL designers can logically model a complete data warehouse solution using one single tool and control the physical implementation of a logical model at deployment time. As a result data warehouse projects that need to provide a multi-dimensional model as part of the overall solution can be designed and implemented faster and more efficiently. Wizards for dimensions and cubes let you quickly build dimensional models and realize either relationally or as an Oracle database OLAP implementation, both 10g and 11g formats are supported based on a configuration option. The wizard provides a good first cut definition and the objects can be further refined in the editor. Both wizards let you choose the implementation, to deploy to OLAP in the database select MOLAP: multidimensional storage. You will then be asked what levels and attributes are to be defined, by default the wizard creates a level bases hierarchy, parent child hierarchies can be defined in the editor. Once the dimension or cube has been designed there are special mapping operators that make it easy to load data into the objects, below we load a constant value for the total level and the other levels from a source table.   Again when the cube is defined using the wizard we can edit the cube and define a number of analytic calculations by using the 'generate calculated measures' option on the measures panel. This lets you very easily add a lot of rich analytic measures to your cube. For example one of the measures is the percentage difference from a year ago which we can see in detail below. You can also add your own custom calculations to leverage the capabilities of the Oracle OLAP option, either by selecting existing template types such as moving averages to defining true custom expressions. The 11g OLAP option now supports percentage based summarization (the amount of data to precompute and store), this is available from the option 'cost based aggregation' in the cube's configuration. Ensure all measure-dimensions level based aggregation is switched off (on the cube-dimension panel) - previously level based aggregation was the only option. The 11g generated code now uses the new unified API as you see below, to generate the code, OWB needs a valid connection to a real schema, this was not needed before 11gR2 and is a new requirement since the OLAP API which OWB uses is not an offline one. Once all of the objects are deployed and the maps executed then we get to the fun stuff! How can we analyze the data? One option which is powerful and at many users' fingertips is using Microsoft Excel PivotTables® and PivotCharts®, which can be used with your Oracle OLAP business intelligence data by utilizing Simba's MDX Provider for Oracle OLAP (see Simba site for details of cost). I'll leave the exotic reporting illustrations to the experts (see Bud's demonstration here), but with Simba's MDX Provider for Oracle OLAP its very simple to easily access the analytics stored in the database (all built and loaded via the OWB 11gR2 release) and get the regular features of Excel at your fingertips such as using the conditional formatting features for example. That's a very quick run through of the OWB 11gR2 with respect to Oracle 11g OLAP integration and the reporting using Simba's MDX Provider for Oracle OLAP. Not a deep-dive in any way but a quick overview to illustrate the design capabilities and integrations possible.

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  • Oracle Database 12 c Training and Certification: What’s in it for Me?

    - by KJones
    Oracle Database 12c has officially launched! Through Oracle University, our expert instructors can introduce you to the features and functions of this new Oracle Database 12c product. Through training courses and certification exam prep seminars, you can build up your database knowledge and apply this knowledge to advance your career. Already an Oracle Database Expert? Why Oracle Database 12c Training is still a Good Idea Oracle is the industry leader for database technology and takes the release of new products very seriously. We continue to listen to customer needs and add features and functionality to address those needs. Oracle Database 12c is no exception. The following areas have been greatly enhanced and should be considered for your additional training or certification: • Database for Cloud Computing • Compression and Information Lifecycle Management (ILM) • Improved Performance & Scalability • Extreme Availability • Security Defense in Depth • Manageability Oracle Certified Database Administrators Reap Career Rewards Becoming an expert user of database technology through Oracle University's certification program widens your skill set to demonstrate your expertise implementing the most advanced database technology available. By doing so, you'll make yourself a more marketable employee and candidate in the job market.  Reasons to Become an Oracle Certified Database Administrator of Oracle Database 12c: • The new Oracle Database 12c certifications emphasize more advanced skills that align with industry standards, resulting in an even more valuable credential for customers and partners. • The Oracle Certified Associate (OCA) for Oracle Database 12c centers upon certification objectives that measure IT professionals' day-to-day skills, along with your ability to manage challenges. • Building upon all of the competencies incorporated into Oracle's Database 12c OCA certification, the Oracle Certified Professional (OCP) for Oracle Database 12c certification includes advanced knowledge and skills required of top-performing database administrators. • The Oracle Certified Master (OCM) for Oracle Database 12c - a very challenging and elite top-level certification - certifies the most highly skilled and experienced database experts. • Oracle offers 12c upgrade paths for existing Oracle Certified Professionals (OCP) and Oracle Certified Masters (OCM). Database 12c Training and Certification: Built with Your Input When creating Oracle Database 12c training courses and certifications, we wanted to know which tasks are most important in a DBA's day-to-day work. Instead of assuming what those tasks might be, we decided to develop a job task analysis survey for DBAs. The response rate from DBAs from around the world was overwhelming! The survey focused on the following key database areas: • DBA Core Essentials • Database Storage • High Availability • Scalability • Networking • Security • Very Large Database Administration • Distributed Databases After conducting this survey, we took this specific feedback and used it to help mold the new Oracle Database 12c training and certification curriculum. The benefit to you? You now have access to Oracle Database 12c courses and certification exams that were created with your specific on-the-job tasks in mind. Explore Oracle Database 12c Training & Certification Today Investing in Oracle Database 12c training courses and certifications will help you develop a great deal of knowledge, experience and expertise. Explore our portfolio of offerings to determine which skills you need as a DBA to get up-to-speed on Oracle Database 12c technology. Questions or comments about the new Oracle Database 12c offerings? Let us know in the comments below. - Diana Gray, Principle Curriculum Product Manager and Raza Siddiqui, Senior Principle Curriculum Product Manager

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  • More SQL Smells

    - by Nick Harrison
    Let's continue exploring some of the SQL Smells from Phil's list. He has been putting together. Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) This is a great example poking holes in the whole theory of "If it works it's not broken" Queries will this probably will generally work and give the correct response. In fact, without careful analysis, you probably may be completely oblivious that there is even a problem. This subtle little problem will needlessly complicate queries and slow them down regardless of the indexes applied. Consider this example: CREATE TABLE [dbo].[Page](     [PageId] [int] IDENTITY(1,1) NOT NULL,     [Title] [varchar](75) NOT NULL,     [Sequence] [int] NOT NULL,     [ThemeId] [int] NOT NULL,     [CustomCss] [text] NOT NULL,     [CustomScript] [text] NOT NULL,     [PageGroupId] [int] NOT NULL;  CREATE PROCEDURE PageSelectBySequence ( @sequenceMin smallint , @sequenceMax smallint ) AS BEGIN SELECT [PageId] , [Title] , [Sequence] , [ThemeId] , [CustomCss] , [CustomScript] , [PageGroupId] FROM [CMS].[dbo].[Page] WHERE Sequence BETWEEN @sequenceMin AND @SequenceMax END  Note that the Sequence column is defined as int while the sequence parameter is defined as a small int. The problem is that the database may have to do a lot of type conversions to evaluate the query. In some cases, this may even negate the indexes that you have in place. Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) There are two main problems here. The first is a little subjective, since this is a non-standard way of expressing the query, it is harder to understand. The other problem is much more objective and potentially problematic. You are taking much of the control away from the optimizer. Written properly, such a query may well out perform a corresponding query written with traditional joins. More likely than not, performance will degrade. Whenever you assume that you know better than the optimizer, you will most likely be wrong. This is the fundmental problem with any hint. Consider a query like this:  SELECT Page.Title , Page.Sequence , Page.ThemeId , Page.CustomCss , Page.CustomScript , PageEffectParams.Name , PageEffectParams.Value , ( SELECT EffectName FROM dbo.Effect WHERE EffectId = dbo.PageEffects.EffectId ) AS EffectName FROM Page INNER JOIN PageEffect ON Page.PageId = PageEffects.PageId INNER JOIN PageEffectParam ON PageEffects.PageEffectId = PageEffectParams.PageEffectId  This can and should be written as:  SELECT Page.Title , Page.Sequence , Page.ThemeId , Page.CustomCss , Page.CustomScript , PageEffectParams.Name , PageEffectParams.Value , EffectName FROM Page INNER JOIN PageEffect ON Page.PageId = PageEffects.PageId INNER JOIN PageEffectParam ON PageEffects.PageEffectId = PageEffectParams.PageEffectId INNER JOIN dbo.Effect ON dbo.Effects.EffectId = dbo.PageEffects.EffectId  The correlated query may just as easily show up in the where clause. It's not a good idea in the select clause or the where clause. Few or No comments. This one is a bit more complicated and controversial. All comments are not created equal. Some comments are helpful and need to be included. Other comments are not necessary and may indicate a problem. I tend to follow the rule of thumb that comments that explain why are good. Comments that explain how are bad. Many people may be shocked to hear the idea of a bad comment, but hear me out. If a comment is needed to explain what is going on or how it works, the logic is too complex and needs to be simplified. Comments that explain why are good. Comments may explain why the sql is needed are good. Comments that explain where the sql is used are good. Comments that explain how tables are related should not be needed if the sql is well written. If they are needed, you need to consider reworking the sql or simplify your data model. Use of functions in a WHERE clause. (Anil Das) Calling a function in the where clause will often negate the indexing strategy. The function will be called for every record considered. This will often a force a full table scan on the tables affected. Calling a function will not guarantee that there is a full table scan, but there is a good chance that it will. If you find that you often need to write queries using a particular function, you may need to add a column to the table that has the function already applied.

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  • SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database

    - by Pinal Dave
    In the yesterday’s blog post we have seen that it is extremely easy to install the NuoDB database on your local machine. Now that the application is properly set up, let us explore NuoDB a bit more and get you familiar with the how it works and what the important areas of the NuoDB are that you should learn. As we have already installed NuoDB, now we will quickly start with two of the important areas in NuoDB: 1) Admin and 2) Explorer. In this blog post I will explore how the Admin Section of the NuoDB Console works.  In the next blog post we will learn how the Explorer Section works. Let us go to the NuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the following screen: On this screen you can see a big Start QuickStart button. Click on the button and it will bring you to following screen. On this screen you will find very important information about Domain and Database Settings. It is our habit that we do not read what is written on the screen and keep on clicking on continue without reading. While we are familiar with most wizards, we can often miss the very important message on the screen. Please note the information of Domain Settings and Database Settings from the following screen before clicking on Create Database. Domain Settings User: quickstart Password: quickstart Database Settings User: dba Password: goalie Database: test Schema: HOCKEY Once you click on the Create Database button it will immediately start creating sample database. First, it will start a Storage Manager and right after that it will start a Transaction Engine. Once the engine is up, it will Create a Schema and Sample Data. On the success of the creating the sample database it will show the following screen. Now is the time where we can explore the NuoDB Admin or NuoDB Explorer. If you click on Admin, it will first show following login screen. Enter for the username “domain” and for the password “bird”. Alternatively you can enter “quickstart”  twice for username and password.  It works as too. Once you enter into the Admin Section, on the left side you can see information about NuoDB and Admin Console and on the right side you can see the domain overview area. From this Administrative section you can do any of the following tasks: Create a view of the entire domain Add and remove databases Start and stop NuoDB Transaction Engines and Storage Managers Monitor transaction across all the NuoDB databases On the right side of the Admin Section we can see various information about a particular NuoDB domain. You can quickly view various alerts, find out information about the number of host machines that are provisioned for the domain, and see the number of databases and processes that are running in the domain. If you click on the “1 host” link you will be able to see various processes, CPU usage and other information. In the Processes Section you can see that there are two different types of processes. The first process (where you can see the floppy drive icon) represents a running Storage Manager process and the second process a running Transaction Engine process. You can click on the links for the Storage Manager and Transaction Engine to see further statistical details right down to the last byte of the data. There are various charts available for analysis as well. I think the product is quite mature and the user can add different monitor charts to the Admin section. Additionally, the Admin section is the place where you can create and manage new databases. I hope today’s tutorial gives you enough confidence that you can try out NuoDB and checkout various administrative activities with the database. I am personally impressed with their dashboard related to various counters. For more information about how the NuoDB architecture works and what a Storage Manager or Transaction Engine does, check out this short video with NuoDB CTO Seth Proctor:  In the next blog post, we will try out the Explorer section of NuoDB, which allows us to run SQL queries and write SQL code.  Meanwhile, I strongly suggest you download and install NuoDB and get yourself familiar with the product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • #MIX Day 2 Keynote: Put the Phone Down and Listen

    - by andrewbrust
    MIX day 1’s keynote was all about Windows Phone 7 (WP7).  MIX day 2’s was a reminder that Microsoft has much more going on than a new mobile platform.  Steven Sinofsky, Scott Guthrie, Doug Purdy and others showed us lots of other good things coming from Microsoft, mostly in the developer stack, that we certainly shouldn’t overlook.  These included the forthcoming IE9, its new JavaScript compiling engine and support for HTML 5 that takes full advantage of the local PC resources, including the Graphics Processing Unit.  The announcements also included important additions to ASP.NET (and one subtraction, in the form of lighter-weight ViewState technology) including almost-obsessive jQuery support.  That support is so good that John Resig, creator of the jQuery project, came on stage to tell us so.  Then Scott Guthrie told us that Microsoft would be contributing code to Open Source jQuery project. This is not your father’s Microsoft, it would seem. But to me, the crown jewel in today’s keynote were the numerous announcements around the Open Data Protocol (OData).  OData is nothing more than the protocol side of “Astoria” (now known as WCF Data Services, and until recently called ADO.NET Data Services) separated out and opened up as a platform-neutral standard.  The 2009 Professional Developers Conference (PDC) was Microsoft’s vehicle for first announcing OData, as well as project “Dallas,” an Azure-based cloud platform for publishing commercial OData feeds.  And we had already known about “bridges” for Astoria (and thus OData) for PHP and Java.  We also knew that PowerPivot, Microsoft’s forthcoming self-service BI plug-in for Excel 2010, will consume OData feeds and then facilitate drill-down analysis of their data.  And we recently found out that SQL Reporting Services reports (in the forthcoming SQL Server 2008 R2) and SharePoint 2010 lists will be consumable in OData format as well. So what was left to announce?  How about OData clients for Palm webOS and Apple iPhone/Objective C?  How about the release to Open Source of .NET’s OData client?  Or the ability to publish any SQL Azure database as an OData service by simply checking a checkbox at deployment?  Maybe even a Silverlight tool (code-named “Houston”) to create SQL Azure databases (and then publish them as OData) right in the browser?  And what if you you could get at NetFlix’s entire catalog in OData format?  You can – just go to http://odata.netflix.com/Catalog/ and see for yourself.  Douglas Purdy, who made these announcements said “we want OData to work on as many devices and platforms as possible.”  After all the cross-platform OData announcements made in about a half year’s time, it’s hard to dispute this. When Microsoft plays the data card, and plays it well, watch out, because data programmability is the company’s heritage.  I’ll be discussing OData at length in my April Redmond Review column.  I wrote that column two weeks ago, and was convinced then that OData was a big deal. Today upped the ante even more.  And following the Windows Phone 7 euphoria of yesterday was, I think, smart timing.  The phone, if it’s successful, will be because it’s a good developer platform play.  And developer platforms (as well as their creators) are most successful when they have a good data strategy.  OData is very Silverlight-friendly, and that means it’s WP7-friendly too.  Phone plus service-oriented data is a one-two punch.  A phone platform without data would have been a phone with no signal.

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  • Is there a low carbon future for the retail industry?

    - by user801960
    Recently Oracle published a report in conjunction with The Future Laboratory and a global panel of experts to highlight the issue of energy use in modern industry and the serious need to reduce carbon emissions radically by 2050.  Emissions must be cut by 80-95% below the levels in 1990 – but what can the retail industry do to keep up with this? There are three key aspects to the retail industry where carbon emissions can be cut:  manufacturing, transport and IT.  Manufacturing Naturally, manufacturing is going to be a big area where businesses across all industries will be forced to make considerable savings in carbon emissions as well as other forms of pollution.  Many retailers of all sizes will use third party factories and will have little control over specific environmental impacts from the factory, but retailers can reduce environmental impact at the factories by managing orders more efficiently – better planning for stock requirements means economies of scale both in terms of finance and the environment. The John Lewis Partnership has made detailed commitments to reducing manufacturing and packaging waste on both its own-brand products and products it sources from third party suppliers. It aims to divert 95 percent of its operational waste from landfill by 2013, which is a huge logistics challenge.  The John Lewis Partnership’s website provides a large amount of information on its responsibilities towards the environment. Transport Similarly to manufacturing, tightening up on logistical planning for stock distribution will make savings on carbon emissions from haulage.  More accurate supply and demand analysis will mean less stock re-allocation after initial distribution, and better warehouse management will mean more efficient stock distribution.  UK grocery retailer Morrisons has introduced double-decked trailers to its haulage fleet and adjusted distribution logistics accordingly to reduce the number of kilometers travelled by the fleet.  Morrisons measures route planning efficiency in terms of cases moved per kilometre and has, over the last two years, increased the number of cases per kilometre by 12.7%.  See Morrisons Corporate Responsibility report for more information. IT IT infrastructure is often initially overlooked by businesses when considering environmental efficiency.  Datacentres and web servers often need to run 24/7 to handle both consumer orders and internal logistics, and this both requires a lot of energy and puts out a lot of heat.  Many businesses are lowering environmental impact by reducing IT system fragmentation in their offices, while an increasing number of businesses are outsourcing their datacenters to cloud-based services.  Using centralised datacenters reduces the power usage at smaller offices, while using cloud based services means the datacenters can be based in a more environmentally friendly location.  For example, Facebook is opening a massive datacentre in Sweden – close to the Arctic Circle – to reduce the need for artificial cooling methods.  In addition, moving to a cloud-based solution makes IT services more easily scaleable, reducing redundant IT systems that would still use energy.  In store, the UK’s Carbon Trust reports that on average, lighting accounts for 25% of a retailer’s electricity costs, and for grocery retailers, up to 50% of their electricity bill comes from refrigeration units.  On a smaller scale, retailers can invest in greener technologies in store and in their offices.  The report concludes that widely shared objectives of energy security, reduced emissions and continued economic growth are dependent on the development of a smart grid capable of delivering energy efficiency and demand response, as well as integrating renewable and variable sources of energy. The report is available to download from http://emeapressoffice.oracle.com/imagelibrary/detail.aspx?MediaDetailsID=1766I’d be interested to hear your thoughts on the report.   

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  • Monitoring the Application alongside SQL Server

    - by Tony Davis
    Sometimes, on Simple-Talk, it takes a while to spot strange and unexpected patterns of user activity, or small bugs. For example, one morning we spotted that an article’s comment count had leapt to 1485, but that only four were displayed. With some rooting around in Google Analytics, and the endlessly annoying Community Server admin-interface, we were able to work out that a few days previously the article had been subject to a spam attack and that the comment count was for some reason including both accepted and unaccepted comments (which in turn uncovered a bug in the SQL). This sort of incident made us a lot keener on monitoring Simple-talk website usage more effectively. However, the metrics we wanted are troublesome, because they are far too specific for Google Analytics to measure, and the SQL Server backend doesn’t keep sufficient information to enable us to plot trends. The latter could provide, for example, the total number of comments made on, or votes cast for, articles, over all time, but not the number that occur by hour over a set time. We lacked a baseline, in other words. We couldn’t alter the database, as it is a bought-in package. We had neither the resources nor inclination to build-in dedicated application monitoring. Possibly, we could investigate a third-party tool to do the job; but then it occurred to us that we were already using a monitoring tool (SQL Monitor) to keep an eye on the database. It stored data, made graphs and sent alerts. Could we get it to monitor some aspects of the application as well? Of course, SQL Monitor’s single purpose is to check and monitor SQL Server, over time, rather than to monitor applications that use SQL Server. However, how different is the business of gathering and plotting SQL Server Wait Stats, from gathering and plotting various aspects of user activity on the site? Not a lot, it turns out. The latest version allows us to write our own custom monitoring scripts, meaning that we could now monitor any metric in the application that returns an integer. It took little time to write a simple SQL Query that collects basic metrics of the total number of subscribers, votes cast, comments made, or views of articles, over time. The SQL Monitor database polls Simple-Talk every second or so in order to get the latest totals, and can then store and plot this information, or even correlate SQL Server usage to application usage. You can see the live data by visiting monitor.red-gate.com. Click the "Analysis" tab, and select one of the "Simple-talk:" entries in the "Show" box and an appropriate data range (e.g. last 30 days). It’s nascent, and we’re still working on it, but it’s already given us more confidence that we’ll spot quickly trends, bugs, or bursts of ‘abnormal’ activity. If there is a sudden rise in comments, we get an alert, and if it’s due to a spam attack, we can moderate or ban the perpetrator very quickly. We’ve often argued that a tool should perform a single job well rather than turn into a Swiss-army knife, but ironically we’ve rather appreciated being able to make best use of what’s there anyway for a slightly different purpose. Is this a good or common practice? What do you think? Cheers, Tony.

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  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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  • OOW 2013 Summary for Fusion Middleware Architects & Administrators by Simon Haslam

    - by JuergenKress
    OOW 2013 Summary for Fusion Middleware Architects & Administrators by Simon Haslam This September during Oracle OpenWorld 2013 the weather in San Francisco, as you see can from the photo, was exceptionally sunny. The dramatic final few days of the Americas Cup sailing competition, being held every day in the bay, coincided with the conference and meant that there was almost a holiday feel to the whole event. Here's my annual round-up of what I think was most interesting at OpenWorld 2013 for Fusion Middleware architects and administrators; I hope you find it useful and if you think I've missed something please add a comment! WebLogic and Cloud Application Foundation (CAF) The big WebLogic release of the year has already happened a few months ago with 12.1.2 so I won't duplicate that here. Will Lyons discussed the WebLogic and Coherence roadmap which essentially is that 12.1.3 will probably be released to coincide with SOA 12c next year and that 12.1.4, the next feature-rich WebLogic release, is more likely to be in 2015. This latter release will probably include full Java EE 7 support, have enhancements for multi-tenancy and further auto-scaling features to support increased density (i.e. more WebLogic usage for the same amount of hardware). There's a new Oracle Virtual Assembly Builder (OVAB) out already and an Oracle Traffic Director (OTD) 12c release round the corner too. Also of relevance to administrators is that Oracle has increased the support lifetime for Fusion Middleware 11g (e.g. WebLogic 10.3.6) so that Premier Support will now run to the end of 2018 and Extended Support until 2021 - this should remove any Oracle-driven pressure to upgrade at least. Java Mission Control Java Mission Control (JMC) is the HotSpot Java 7 version of JRockit 6 Mission Control, a very nice performance monitoring tool from Oracle's BEA acquisition. Flight Recorder is a feature built into the JVM which records diagnostic events into, typically, a circular buffer which can then be used for historical analysis, particularly in the case of a JVM crash or hang. It's been available separately for WebLogic only for perhaps a year now but, more significantly, it now includes JVM events and was bundled in with JDK7 Update 40 a few weeks ago. I attended a couple of interesting Java One sessions on JMC/Flight Recorder and have to say it's looking really good - it has all the previous JRMC features except for memory leak detector, plus some enhancements around operative sets and ECID filtering I think. Marcus also showed how you could add your own events into flight recorder by building your own event class - they are then available for graphing alongside all the other events in JMC. This uses a currently an unsupported/undocumented API, but it's also the same one that WebLogic uses for WLDF events so I imagine it is stable. I'm not sure quite whether this would be useful to custom applications, as opposed to infrastructure services or ISV packaged applications, but it was a very nice demonstration. I've been testing JMC / FR enabling on several environments recently and my confidence is growing - it feels robust and I think could very soon be part of my standard builds. Read the full article here. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: OOW,Simon Haslam,Oracle OpenWorld,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • New Release of Oracle EPM (Enterprise Performance Management)

    - by Theresa Hickman
    I'm a huge fan of Hyperion products and consider Hyperion to be one of the best acquisitions Oracle has made in terms of applications. So I am really excited to talk about their latest release, Release 11.1.2 of the Oracle EPM System. This is EPM's largest release in 2 years, and it's jam-packed with new modules and features. In terms of brand new products, there are three: 1. Public Sector Planning and Budgeting meets the needs of public sector agencies, higher education, governments, etc. that have complex budget requirements. It supports position or employee-based budgeting and integrates with MS Office and your ERP ledgers to perform commitment control. 2. Hyperion Financial Close Management is a complete financial close solution that orchestrates the entire close process from subledgers and general ledger to financial reporting and disclosure submissions. And of course, it is integrated with GL systems and consolidation systems. I saw a demo of this and it looked pretty slick. They have this unified close calendar that looks like a regular calendar that gives each person participating in the close process a task list. It comes with a Gantt chart that shows the relationships and dependencies among closing tasks. There are dashboards to allow you to track the close progress and completion of tasks as well as perform trend analysis and see how much time is being spent on different activities in the close process. This gives you visibility that you never had before to understand where the bottlenecks are and where improvements could be made. I think what I liked best about this product was that it provides a central place for all participants to communicate their progress. When I worked as an Accountant, we used ad hoc tools, such as spreadsheets, Word documents, emails, and phone calls during the close process. I like the idea of having a central system to track the overall progress as well as automate the entire financial close process. Who knows, maybe Accountants won't have to revolve their lives around the month end close anymore with a tool like this. Those periodic fire drills can become predictable, well managed processes. 3. Disclosure Management is an out-of-the-box, pre-packaged XBRL solution to meet statutory reporting requirements. This product is really going to help companies improve the timeliness of producing financial reports. Reports can be authored using MS Word and Excel and then XBRL instance documents can be produced with its embedded XBRL tags. It even supports footnotes and disclosures of non-financial information. With a product like this, companies no longer have to outsource their XBRL filing; they can bring it back in house to save costs and time. In terms of other enhancements, they have ERP Integrator that provides integration and drill downs from Hyperion products to source systems, such as Oracle E-Business Suite, PeopleSoft, and SAP. No other vendor offers this level of integration. There's also a new product that links Oracle Essbase directly to Hyperion Financial Management for internal financial reporting, and new integrations between Hyperion Financial Management and Oracle's GRC products. They also improved the usability of Oracle Hyperion Planning. They made it much easier for end users to use the system via the web or via MS Excel when submitting plans and budgets. It is also integrated with intelligent approval workflows that are data-driven, user-configurable, and scenario-specific to efficiently streamline the budgeting process. Here's the press release from April 7, 2010. Here's the pre-recorded web cast where you can see the demos. Just register and watch the hour long presentation. And finally, here's the newsletter

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  • Common business drivers that lead to creating and sustaining a project

    Common business drivers that lead to creating and sustaining a project include and are not limited to: cost reduction, increased return on investment (ROI), reduced time to market, increased speed and efficiency, increased security, and increased interoperability. These drivers primarily focus on streamlining and reducing cost to make a company more profitable with less overhead. According to Answers.com cost reduction is defined as reducing costs to improve profitability, and may be implemented when a company is having financial problems or prevent problems. ROI is defined as the amount of value received relative to the amount of money invested according to PayperclickList.com.  With the ever increasing demands on businesses to compete in today’s market, companies are constantly striving to reduce the time it takes for a concept to become a product and be sold within the global marketplace. In business, some people say time is money, so if a project can reduce the time a business process takes it in fact saves the company which is always good for the bottom line. The Social Security Administration states that data security is the protection of data from accidental or intentional but unauthorized modification, destruction. Interoperability is the capability of a system or subsystem to interact with other systems or subsystems. In my personal opinion, these drivers would not really differ for a profit-based organization, compared to a non-profit organization. Both corporate entities strive to reduce cost, and strive to keep operation budgets low. However, the reasoning behind why they want to achieve this does contrast. Typically profit based organizations strive to increase revenue and market share so that the business can grow. Alternatively, not-for-profit businesses are more interested in increasing their reach within communities whether it is to increase annual donations or invest in the lives of others. Success or failure of a project can be determined by one or more of these drivers based on the scope of a project and the company’s priorities associated with each of the drivers. In addition, if a project attempts to incorporate multiple drivers and is only partially successful, then the project might still be considered to be a success due to how close the project was to meeting each of the priorities. Continuous evaluation of the project could lead to a decision to abort a project, because it is expected to fail before completion. Evaluations should be executed after the completion of every software development process stage. Pfleeger notes that software development process stages include: Requirements Analysis and Definition System Design Program Design Program Implementation Unit Testing Integration Testing System Delivery Maintenance Each evaluation at every state should consider all the business drivers included in the scope of a project for how close they are expected to meet expectations. In addition, minimum requirements of acceptance should also be included with the scope of the project and should be reevaluated as the project progresses to ensure that the project makes good economic sense to continue. If the project falls below these benchmarks then the project should be put on hold until it does make more sense or the project should be aborted because it does not meet the business driver requirements.   References Cost Reduction Program. (n.d.). Dictionary of Accounting Terms. Retrieved July 19, 2009, from Answers.com Web site: http://www.answers.com/topic/cost-reduction-program Government Information Exchange. (n.d.). Government Information Exchange Glossary. Retrieved July 19, 2009, from SSA.gov Web site: http://www.ssa.gov/gix/definitions.html PayPerClickList.com. (n.d.). Glossary Term R - Pay Per Click List. Retrieved July 19, 2009, from PayPerClickList.com Web site: http://www.payperclicklist.com/glossary/termr.html Pfleeger, S & Atlee, J.(2009). Software Engineering: Theory and Practice. Boston:Prentice Hall Veluchamy, Thiyagarajan. (n.d.). Glossary « Thiyagarajan Veluchamy’s Blog. Retrieved July 19, 2009, from Thiyagarajan.WordPress.com Web site: http://thiyagarajan.wordpress.com/glossary/

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  • Willy Rotstein on Supply Chain Planning

    - by sarah.taylor(at)oracle.com
    Each time a merchandiser, buyer or planner in Retail makes a business decision around assortment, inventory, pricing and promotions there is an opportunity to improve both Profitability and Customer Service. Improving decision making, however, has always been a tricky business for retailers.  I have worked in this space for more than 15 years. I began my career as an academic, at Imperial College London, and then broadened this interest with Retailers, aiming to optimize their merchandising and supply chain decisions. Planning the business and optimizing profit is a complex process. The complexity arises from the variety of people involved, the large number of decisions to take across all business processes, the uncertainty intrinsic to the retail environment as well as the volume of data available for analysis.  Things are not getting any easier either. The advent of multi-channel, social media and mobile is taking these complexities to a new level and presenting additional opportunities for those willing to exploit them. I guess it is due to the complexities of the decision making process that, over the last couple of years working with Oracle Retail, I have witnessed a clear trend around the deployment of planning systems. Retailers are aiming to simplify their decision making processes. They want to use one joined up planning platform across the business and enhance it with "actionable" data mining and optimization techniques. At Oracle Retail, we have a vibrant community of international retailers who regularly come together to discuss the big issues in retail planning. It is a combination of fashion, grocery and speciality retailers, all sharing their best practice vision for planning and optimizing merchandise decisions. As part of the Retail Exchange program, at the recent National Retail Federation event in New York, I jointly hosted a Planning dinner with Peter Fitzgerald from Google UK, Retail Division. Those retailers from our international planning community who were in New York for the annual NRF event were able to attend. The group comprised some of Europe's great International Retail brands.  All sectors were represented by organisations like Mango, LVMH, Ahold, Morrisons, Shop Direct and River Island. They confirmed the current importance of engaging with Planning and Optimization issues. In particular the impact of the internet was a key topic. We had a great debate about new retail initiatives.  Peter highlighted how mobility is changing retail - in particular with the new "local availability search" initiative. We also had an exciting discussion around the opportunities to improve merchandising using the new data that is becoming available from search, social media and ecommerce sites. It will be our focus to continue to help retailers translate this data into better results while keeping their business operations simple. New developments in "actionable" analytics and computing capacity make this a very exciting area today. Watch this space for my contributions on these topics which will be made available through this blog. Oracle Retail has a strong Planning community. if you are a category manager, a planner, a buyer, a merchandiser, a retail supplier or any retail executive with a keen interest in planning then you would be very welcome to join Oracle Retail's Planning Community. As part of our community you will be able to join our in-person and virtual events, download topical white papers and best practice information specifically tailored to your area of interest.  If anyone would like to register their interest in joining our community of retailers discussing planning then please contact me at [email protected]   Willy Rotstein, Oracle Retail

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  • SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at another IO-related wait type. From Book On-Line: Occurs when a task is waiting for I/Os to finish. ASYNC_IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. If by any means your application that’s connected to SQL Server is processing the data very slowly, this type of wait can occur. Several long-running database operations like BACKUP, CREATE DATABASE, ALTER DATABASE or other operations can also create this wait type. Reducing ASYNC_IO_COMPLETION wait: When it is an issue related to IO, one should check for the following things associated to IO subsystem: Look at the programming and see if there is any application code which processes the data slowly (like inefficient loop, etc.). Note that it should be re-written to avoid this  wait type. Proper placing of the files is very important. We should check the file system for proper placement of the files – LDF and MDF on separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is a higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly and so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on the development setup (test environment). As soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very likely to happen that there are no proper indexes on the system and yet there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the following two articles I wrote that talk about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Q&A: Oracle's Paul Needham on How to Defend Against Insider Attacks

    - by Troy Kitch
    Source: Database Insider Newsletter: The threat from insider attacks continues to grow. In fact, just since January 1, 2014, insider breaches have been reported by a major consumer bank, a major healthcare organization, and a range of state and local agencies, according to the Privacy Rights Clearinghouse.  We asked Paul Needham, Oracle senior director, product management, to shed light on the nature of these pernicious risks—and how organizations can best defend themselves against the threat from insider risks. Q. First, can you please define the term "insider" in this context? A. According to the CERT Insider Threat Center, a malicious insider is a current or former employee, contractor, or business partner who "has or had authorized access to an organization's network, system, or data and intentionally exceeded or misused that access in a manner that negatively affected the confidentiality, integrity, or availability of the organization's information or information systems."  Q. What has changed with regard to insider risks? A. We are actually seeing the risk of privileged insiders growing. In the latest Independent Oracle Users Group Data Security Survey, the number of organizations that had not taken steps to prevent privileged user access to sensitive information had grown from 37 percent to 42 percent. Additionally, 63 percent of respondents say that insider attacks represent a medium-to-high risk—higher than any other category except human error (by an insider, I might add). Q. What are the dangers of this type of risk? A. Insiders tend to have special insight and access into the kinds of data that are especially sensitive. Breaches can result in long-term legal issues and financial penalties. They can also damage an organization's brand in a way that directly impacts its bottom line. Finally, there is the potential loss of intellectual property, which can have serious long-term consequences because of the loss of market advantage.  Q. How can organizations protect themselves against abuse of privileged access? A. Every organization has privileged users and that will always be the case. The questions are how much access should those users have to application data stored in the database, and how can that default access be controlled? Oracle Database Vault (See image) was designed specifically for this purpose and helps protect application data against unauthorized access.  Oracle Database Vault can be used to block default privileged user access from inside the database, as well as increase security controls on the application itself. Attacks can and do come from inside the organization, and they are just as likely to come from outside as attempts to exploit a privileged account.  Using Oracle Database Vault protection, boundaries can be placed around database schemas, objects, and roles, preventing privileged account access from being exploited by hackers and insiders.  A new Oracle Database Vault capability called privilege analysis identifies privileges and roles used at runtime, which can then be audited or revoked by the security administrators to reduce the attack surface and increase the security of applications overall.  For a more comprehensive look at controlling data access and restricting privileged data in Oracle Database, download Needham's new e-book, Securing Oracle Database 12c: A Technical Primer. 

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  • Tuning Red Gate: #3 of Lots

    - by Grant Fritchey
    I'm drilling down into the metrics about SQL Server itself available to me in the Analysis tab of SQL Monitor to see what's up with our two problematic servers. In the previous post I'd noticed that rg-sql01 had quite a few CPU spikes. So one of the first things I want to check there is how much CPU is getting used by SQL Server itself. It's possible we're looking at some other process using up all the CPU Nope, It's SQL Server. I compared this to the rg-sql02 server: You can see that there is a more, consistently low set of CPU counters there. I clearly need to look at rg-sql01 and capture more specific data around the queries running on it to identify which ones are causing these CPU spikes. I always like to look at the Batch Requests/sec on a server, not because it's an indication of a problem, but because it gives you some idea of the load. Just how much is this server getting hit? Here are rg-sql01 and rg-sql02: Of the two, clearly rg-sql01 has a lot of activity. Remember though, that's all this is a measure of, activity. It doesn't suggest anything other than what it says, the number of requests coming in. But it's the kind of thing you want to know in order to understand how the system is used. Are you seeing a correlation between the number of requests and the CPU usage, or a reverse correlation, the number of requests drops as the CPU spikes? See, it's useful. Some of the details you can look at are Compilations/sec, Compilations/Batch and Recompilations/sec. These give you some idea of how the cache is getting used within the system. None of these showed anything interesting on either server. One metric that I like (even though I know it can be controversial) is the Page Life Expectancy. On the average server I expect see a series of mountains as the PLE climbs then drops due to a data load or something along those lines. That's not the case here: Those spikes back in January suggest that the servers weren't really being used much. The PLE on the rg-sql01 seems to be somewhat consistent growing to 3 hours or so then dropping, but the rg-sql02 PLE looks like it might be all over the map. Instead of continuing to look at this high level gathering data view, I'm going to drill down on rg-sql02 and see what it's done for the last week: And now we begin to see where we might have an issue. Memory on this system is getting flushed every 1/2 hour or so. I'm going to check another metric, scans: Whoa! I'm going back to the system real quick to look at some disk information again for rg-sql02. Here is the average disk queue length on the server: and the transfers Right, I think I have a guess as to what's up here. We're seeing memory get flushed constantly and we're seeing lots of scans. The disks are queuing, especially that F drive, and there are lots of requests that correspond to the scans and the memory flushes. In short, we've got queries that are scanning the data, a lot, so we either have bad queries or bad indexes. I'm going back to the server overview for rg-sql02 and check the Top 10 expensive queries. I'm modifying it to show me the last 3 days and the totals, so I'm not looking at some maintenance routine that ran 10 minutes ago and is skewing the results: OK. I need to look into these queries that are getting executed this much. They're generating a lot of reads, but which queries are generating the most reads: Ow, all still going against the same database. This is where I'm going to temporarily leave SQL Monitor. What I want to do is connect up to the server, validate that the Warehouse database is using the F:\ drive (which I'll put money down it is) and then start seeing what's up with these queries. Part 1 of the Series Part 2 of the Series

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  • Archiving SQLHelp tweets

    - by jamiet
    #SQLHelp is a Twitter hashtag that can be used by any Twitter user to get help from the SQL Server community. I think its fair to say that in its first year of being it has proved to be a very useful resource however Kendra Little (@kendra_little) made a very salient point yesterday when she tweeted: Is there a way to search the archives of #sqlhelp Trying to remember answer to a question I know I saw a couple months ago http://twitter.com/#!/Kendra_Little/status/15538234184441856 This highlights an inherent problem with Twitter’s search capability – it simply does not reach far enough back in time. I have made steps to remedy that situation by putting into place two initiatives to archive Tweets that contain the #sqlhelp hashtag. The Archivist http://archivist.visitmix.com/ is a free service that, quite simply, archives a history of tweets that contain a given search term by periodically polling Twitter’s search service with that search term and subsequently displaying a dashboard providing an aggregate view of those tweets for things like tweet volume over time, top users and top words (Archivist FAQ). I have set up an archive on The Archivist for “sqlhelp” which you can view at http://archivist.visitmix.com/jamiet/7. Here is a screenshot of the SQLHelp dashboard 36 minutes after I set it up: There is lots of good information in there, including the fact that Jonathan Kehayias (@SQLSarg) is the most active SQLHelp tweeter (I suspect as an answerer rather than a questioner ) and that SSIS has proven to be a rather (ahem) popular subject!! Datasift The Archivist has its uses though for our purposes it has a couple of downsides. For starters you cannot search through an archive (which is what Kendra was after) and nor can you export the contents of the archive for offline analysis. For those functions we need something a bit more heavyweight and for that I present to you Datasift. Datasift is a tool (currently an alpha release) that allows you to search for tweets and provide them through an object called a Datasift stream. That sounds very similar to normal Twitter search though it has one distinct advantage that other Twitter search tools do not – Datasift has access to Twitter’s Streaming API (aka the Twitter Firehose). In addition it has access to a lot of other rather nice features: It provides the Datasift API that allows you to consume the output of a Datasift stream in your tool of choice (bring on my favourite ultimate mashup tool J ) It has a query language (called Filtered Stream Definition Language – FSDL for short) A Datasift stream can consume (and filter) other Datasift streams Datasift can (and does) consume services other than Twitter If I refer to Datasift as “ETL for tweets” then you may get some sort of idea what it is all about. Just as I did with The Archivist I have set up a publicly available Datasift stream for “sqlhelp” at http://datasift.net/stream/1581/sqlhelp. Here is the FSDL query that provides the data: twitter.text contains "sqlhelp" Pretty simple eh? At the current time it provides little more than a rudimentary dashboard but as Datasift is currently an alpha release I think this may be worth keeping an eye on. The real value though is the ability to consume the output of a stream via Datasift’s RESTful API, observe: http://api.datasift.net/stream.xml?stream_identifier=c7015255f07e982afdeebdf1ae6e3c0d&username=jamiet&api_key=XXXXXXX (Note that an api_key is required during the alpha period so, given that I’m not supplying my api_key, this URI will not work for you) Just to prove that a Datasift stream can indeed consume data from another stream I have set up a second stream that further filters the first one for tweets containing “SSIS”. That one is at http://datasift.net/stream/1586/ssis-sqlhelp and here is the FSDL query: rule "414c9845685ff8d2548999cf3162e897" and (interaction.content contains "ssis") When Datasift moves beyond alpha I’ll re-assess how useful this is going to be and post a follow-up blog. @Jamiet

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  • SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

    - by pinaldave
    For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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  • career in Mobile sw/Application Development [closed]

    - by pramod
    i m planning to do a course on Wireless & mobile computing.The syllabus are given below.Please check & let me know whether its worth to do.How is the job prospects after that.I m a fresher & from electronic Engg.The modules are- *Wireless and Mobile Computing (WiMC) – Modules* C, C++ Programming and Data Structures 100 Hours C Revision C, C++ programming tools on linux(Vi editor, gdb etc.) OOP concepts Programming constructs Functions Access Specifiers Classes and Objects Overloading Inheritance Polymorphism Templates Data Structures in C++ Arrays, stacks, Queues, Linked Lists( Singly, Doubly, Circular) Trees, Threaded trees, AVL Trees Graphs, Sorting (bubble, Quick, Heap , Merge) System Development Methodology 18 Hours Software life cycle and various life cycle models Project Management Software: A Process Various Phases in s/w Development Risk Analysis and Management Software Quality Assurance Introduction to Coding Standards Software Project Management Testing Strategies and Tactics Project Management and Introduction to Risk Management Java Programming 110 Hours Data Types, Operators and Language Constructs Classes and Objects, Inner Classes and Inheritance Inheritance Interface and Package Exceptions Threads Java.lang Java.util Java.awt Java.io Java.applet Java.swing XML, XSL, DTD Java n/w programming Introduction to servlet Mobile and Wireless Technologies 30 Hours Basics of Wireless Technologies Cellular Communication: Single cell systems, multi-cell systems, frequency reuse, analog cellular systems, digital cellular systems GSM standard: Mobile Station, BTS, BSC, MSC, SMS sever, call processing and protocols CDMA standard: spread spectrum technologies, 2.5G and 3G Systems: HSCSD, GPRS, W-CDMA/UMTS,3GPP and international roaming, Multimedia services CDMA based cellular mobile communication systems Wireless Personal Area Networks: Bluetooth, IEEE 802.11a/b/g standards Mobile Handset Device Interfacing: Data Cables, IrDA, Bluetooth, Touch- Screen Interfacing Wireless Security, Telemetry Java Wireless Programming and Applications Development(J2ME) 100 Hours J2ME Architecture The CLDC and the KVM Tools and Development Process Classification of CLDC Target Devices CLDC Collections API CLDC Streams Model MIDlets MIDlet Lifecycle MIDP Programming MIDP Event Architecture High-Level Event Handling Low-Level Event Handling The CLDC Streams Model The CLDC Networking Package The MIDP Implementation Introduction to WAP, WML Script and XHTML Introduction to Multimedia Messaging Services (MMS) Symbian Programming 60 Hours Symbian OS basics Symbian OS services Symbian OS organization GUI approaches ROM building Debugging Hardware abstraction Base porting Symbian OS reference design porting File systems Overview of Symbian OS Development – DevKits, CustKits and SDKs CodeWarrior Tool Application & UI Development Client Server Framework ECOM STDLIB in Symbian iPhone Programming 80 Hours Introducing iPhone core specifications Understanding iPhone input and output Designing web pages for the iPhone Capturing iPhone events Introducing the webkit CSS transforms transitions and animations Using iUI for web apps Using Canvas for web apps Building web apps with Dashcode Writing Dashcode programs Debugging iPhone web pages SDK programming for web developers An introduction to object-oriented programming Introducing the iPhone OS Using Xcode and Interface builder Programming with the SDK Toolkit OS Concepts & Linux Programming 60 Hours Operating System Concepts What is an OS? Processes Scheduling & Synchronization Memory management Virtual Memory and Paging Linux Architecture Programming in Linux Linux Shell Programming Writing Device Drivers Configuring and Building GNU Cross-tool chain Configuring and Compiling Linux Virtual File System Porting Linux on Target Hardware WinCE.NET and Database Technology 80 Hours Execution Process in .NET Environment Language Interoperability Assemblies Need of C# Operators Namespaces & Assemblies Arrays Preprocessors Delegates and Events Boxing and Unboxing Regular Expression Collections Multithreading Programming Memory Management Exceptions Handling Win Forms Working with database ASP .NET Server Controls and client-side scripts ASP .NET Web Server Controls Validation Controls Principles of database management Need of RDBMS etc Client/Server Computing RDBMS Technologies Codd’s Rules Data Models Normalization Techniques ER Diagrams Data Flow Diagrams Database recovery & backup SQL Android Application 80 Hours Introduction of android Why develop for android Android SDK features Creating android activities Fundamental android UI design Intents, adapters, dialogs Android Technique for saving data Data base in Androids Maps, Geocoding, Location based services Toast, using alarms, Instant messaging Using blue tooth Using Telephony Introducing sensor manager Managing network and wi-fi connection Advanced androids development Linux kernel security Implement AIDL Interface. Project 120 Hours

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  • Thinktecture.IdentityModel: Comparing Strings without leaking Timinig Information

    - by Your DisplayName here!
    Paul Hill commented on a recent post where I was comparing HMACSHA256 signatures. In a nutshell his complaint was that I am leaking timing information while doing so – or in other words, my code returned faster with wrong (or partially wrong) signatures than with the correct signature. This can be potentially used for timing attacks like this one. I think he got a point here, especially in the era of cloud computing where you can potentially run attack code on the same physical machine as your target to do high resolution timing analysis (see here for an example). It turns out that it is not that easy to write a time-constant string comparer due to all sort of (unexpected) clever optimization mechanisms in the CLR. With the help and feedback of Paul and Shawn I came up with this: Structure the code in a way that the CLR will not try to optimize it In addition turn off optimization (just in case a future version will come up with new optimization methods) Add a random sleep when the comparison fails (using Shawn’s and Stephen’s nice Random wrapper for RNGCryptoServiceProvider). You can find the full code in the Thinktecture.IdentityModel download. [MethodImpl(MethodImplOptions.NoOptimization)] public static bool IsEqual(string s1, string s2) {     if (s1 == null && s2 == null)     {         return true;     }       if (s1 == null || s2 == null)     {         return false;     }       if (s1.Length != s2.Length)     {         return false;     }       var s1chars = s1.ToCharArray();     var s2chars = s2.ToCharArray();       int hits = 0;     for (int i = 0; i < s1.Length; i++)     {         if (s1chars[i].Equals(s2chars[i]))         {             hits += 2;         }         else         {             hits += 1;         }     }       bool same = (hits == s1.Length * 2);       if (!same)     {         var rnd = new CryptoRandom();         Thread.Sleep(rnd.Next(0, 10));     }       return same; }

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  • Unclaimed user group prizes, Live meeting on Monday, Next weeks UG, SQLRelay and more prizes

    - by Testas
      Hi Everyone Firstly I want to let you know that I finally found the LINQ book prize winners and the list of people at the bottom of this email are owed a LINQ book. This will be given out at next week’s UG meeting Live meeting with Carolyn Chau, Program Manager at Microsoft on Monday! It is very rare that we get the opportunity to have a Live meeting with a Program Manager in Redmond. Carolyn Chau will be presenting PowerView next Monday at 8pm. Live meeting details can be found on http://sqlserverfaq.com/events/388/Live-Meeting-on-SQL-Server-2012-PowerView-with-Carolyn-Chau-Principal-Program-Manager-in-the-Reporting-Services-in-association-with-SQLPASS-SQLServerFAQ-and-SQLBits.aspx Next week’s UG!! We welcome Mark Broadbent to Manchester next week where he will be presenting his session on SQL Server 2012 on Windows Core. We also hand out the unclaimed prizes. Register at http://sqlserverfaq.com/events/369/Thursday-night-meeting-at-BSS-with-Chris-TestaONeill-and-Mark-Broadbent.aspx Chris Webb is in Manchester!!! Chris Webb will be speaking at the Manchester SQL Server UG on 4th July. He will also be running his Real World Cube Design and Performance Tuning with Analysis Services between the 3rd – 5th July. If you want to attend then you can sign up at the link below http://www.technitrain.com/coursedetail.php?c=13&trackingcode=FAQ SQLRelay and a Special Prize and Jamie Thomson comes to Manchester!!!! SQLRelay takes place in Manchester on the 22nd. We have a special guest, after years of asking Jamie Thomson is coming to Manchester. The SSIS Junkie will be gracing us with his presence with a talk on SSIS 2012. Also we have a prize. Know a friend or colleague who would benefit from SQLRelay? Get them to register at www.sqlserverfaq.com and then register for the event http://sqlserverfaq.com/events/373/ALL-DAY-TUESDAY-EVENT-12-hours-of-SQL-Server-2012-at-the-SQLRelay-meeting-at-the-COOP-Manchester.aspx Then send an email to [email protected] with the subject of SQLFriend with the name of your friend. If you are both at the SQLRelay event on the day and your names are pulled out of the hat you will win a PASS 2011 DVD and your friend will win the “Best of PASS DVD 2011” worth  $1000 courtesy of SQLPASS. The draw will take place between 4.30pm – 5pm on the day. SQLBits feedback!!!!! Attended SQLBits? We really need to know your opinion. Please fill out the survey for the days you attended If you attended any of the days at SQLBits please can you all fill out the following survey http://www.sqlbits.com/SQLBitsX If you attended the Thursday Training day then please fill out the following survey: http://www.sqlbits.com/SQLBitsXThursday If you attended the Friday Deep Dives day then please fill out the following survey: http://www.sqlbits.com/SQLBitsXFriday If you attended the Saturday Community day then please fill out the following survey: http://www.sqlbits.com/SQLBitsXSaturday Thanks   Chris and Martin   LINQ BOOK winners Andrew Birds Chris Kennedy Dave Carpenter David Forrester Ian Ringrose James Cullen James Simpson Kevan Riley Kirsty Hunter Martin Bell Martin Croft Michael Docherty Naga Anand Ram Mangipudi Neal Atkinson Nick Colebourn Pavel Nefyodov Ralph Baines Rick Hibbert saad saleh Simon Enion Stan Venn Steve Powell Stuart Quinn

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