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• Oracle Financial Analytics for SAP Certified with Oracle Data Integrator EE

  - by denis.gray

  Two days ago Oracle announced the release of Oracle Financial Analytics for SAP.  With the amount of press this has garnered in the past two days, there's a key detail that can't be missed.  This release is certified with Oracle Data Integrator EE - now making the combination of Data Integration and Business Intelligence a force to contend with.  Within the Oracle Press Release there were two important bullets: ·         Oracle Financial Analytics for SAP includes a pre-packaged ABAP code compliant adapter and is certified with Oracle Data Integrator Enterprise Edition to integrate SAP Financial Accounting data directly with the analytic application.  ·         Helping to integrate SAP financial data and disparate third-party data sources is Oracle Data Integrator Enterprise Edition which delivers fast, efficient loading and transformation of timely data into a data warehouse environment through its high-performance Extract Load and Transform (E-LT) technology. This is very exciting news, demonstrating Oracle's overall commitment to Oracle Data Integrator EE.   This is a great way to start off the new year and we look forward to building on this momentum throughout 2011.   The following links contain additional information and media responses about the Oracle Financial Analytics for SAP release. IDG News Service (Also appeared in PC World, Computer World, CIO: "Oracle is moving further into rival SAP's turf with Oracle Financial Analytics for SAP, a new BI (business intelligence) application that can crunch ERP (enterprise resource planning) system financial data for insights." Information Week: "Oracle talks a good game about the appeal of an optimized, all-Oracle stack. But the company also recognizes that we live in a predominantly heterogeneous IT world" CRN: "While some businesses with SAP Financial Accounting already use Oracle BI, those integrations had to be custom developed. The new offering provides pre-built integration capabilities." ECRM Guide:  "Among other features, Oracle Financial Analytics for SAP helps front-line managers improve financial performance and decision-making with what the company says is comprehensive, timely and role-based information on their departments' expenses and revenue contributions."   SAP Getting Started Guide for ODI on OTN: http://www.oracle.com/technetwork/middleware/data-integrator/learnmore/index.html For more information on the ODI and its SAP connectivity please review the Oracle® Fusion Middleware Application Adapters Guide for Oracle Data Integrator11g Release 1 (11.1.1)

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• OPN Solutions Catalog Goes Mobile!

  - by Richard Lefebvre

  We are pleased to announce the launch of a mobile-ready OPN Solutions Catalog Features include: A fluid search and browse experience regardless of device (phone, tablet, or desktop) Streamlined design and reorganized search facets, making it easier for customers to search and browse partner profiles and solutions The OPN Solutions Catalog is a free marketing tool for all active Oracle PartnerNetwork members. If you are an OPN partner… take advantage of it! To learn more about the new catalog, watch the Solutions Catalog Training which includes best practices and a demo on how to update your profile. Spend a few minutes with our experts to learn how you can expand your market reach and showcase your offerings to our customers, partners, and Oracle employees worldwide. Questions? Visit the Solutions Catalog Resource page or contact the Partner Business Center.

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• Quality of Code in unit tests?

  - by m3th0dman

  Is it worth to spend time when writing unit tests in order that the code written there has good quality and is very easy to read? When writing this kinds of tests I break very often the Law of Demeter, for faster writing and not using so many variables. Technically, unit tests are not reused directly - are strictly bound to the code so I do not see any reason for spending much time on them; they only need to be functionaly.

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• Inside Sweden’s Nuclear Bunker Turned Data Center

  - by Jason Fitzpatrick

  A data center inside a decommissioned nuclear bunker is interesting enough, but one that looks as futuristic and awesome as the center under Stockholm begs to be seen. A hundred feet under the city of Stockholm is a decommissioned nuclear bunker that the government had previously leased out intermittently for various events, but it was never put to serious or extended use. Not until, that is,  Jon Karlung discovered the location and brought his vision of an ultra-modern, stylish, and secure data center to life. The passage from Wired’s write up of their photo tour that best encapsulates the feel of the bunker is: Most often data centers are built in boxy warehouses, so Bahnhof stands out as perhaps the world’s most stylish. In fact, it inspired Cisco IT Architect Douglas Alger to write a book on the world’s best-looking data centers. ”The idea that people were sitting in a design meeting and said, ‘what we need for our data center is waterfalls,’ that must have been a very fascinating discussion,” Alger says. Hit up the link below for the full photo tour. Deep Inside the James Bond Villain Lair That Actually Exists [Wired] Why Does 64-Bit Windows Need a Separate “Program Files (x86)” Folder? Why Your Android Phone Isn’t Getting Operating System Updates and What You Can Do About It How To Delete, Move, or Rename Locked Files in Windows

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• What is the definition of "Big Data"?

  - by Ben

  Is there one? All the definitions I can find describe the size, complexity / variety or velocity of the data. Wikipedia's definition is the only one I've found with an actual number Big data sizes are a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data in a single data set. However, this seemingly contradicts the MIKE2.0 definition, referenced in the next paragraph, which indicates that "big" data can be small and that 100,000 sensors on an aircraft creating only 3GB of data could be considered big. IBM despite saying that: Big data is more simply than a matter of size. have emphasised size in their definition. O'Reilly has stressed "volume, velocity and variety" as well. Though explained well, and in more depth, the definition seems to be a re-hash of the others - or vice-versa of course. I think that a Computer Weekly article title sums up a number of articles fairly well "What is big data and how can it be used to gain competitive advantage". But ZDNet wins with the following from 2012: “Big Data” is a catch phrase that has been bubbling up from the high performance computing niche of the IT market... If one sits through the presentations from ten suppliers of technology, fifteen or so different definitions are likely to come forward. Each definition, of course, tends to support the need for that supplier’s products and services. Imagine that. Basically "big data" is "big" in some way shape or form. What is "big"? Is it quantifiable at the current time? If "big" is unquantifiable is there a definition that does not rely solely on generalities?

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• Oracle Solutions with Linux on IBM System z

  - by didier.wojciechowski

  Despite the eruption of the Iceland volcano Eyjafjallajokull Paul Bramy Technical Director Oracle Integrated Solutions and Nicolas Marescaux IT Specialist Oracle on IBM System z for Oracle/IBM Joint Solutions Center did this presentation remotely for Collaborate10. If you didn't have seen it yet I highly recommend it.

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• Enterprise 2.0: Expectations vs. Reality

  - by kellsey.ruppel(at)oracle.com

  If you haven't heard it already, check out the podcast interview that Enterprise 2.0 expert John Brunswick did with Bob Rhubart, host of ArchBeat Podcast. Listen as John discusses some of the expectations vs. reality when it comes to Enterprise 2.0. Listen to Part 1 Listen to Part 2 Listen to Part 3 You can connect with John Brunswick and learn more about Enterprise 2.0 at the following links: John's Homepage Twitter: @johnbrunswick Linked In Oracle Fusion ECM Blog AIIM Enterprise 2.0 Blog Enterprise 2.0 Workbench (Youtube) JSP and Beyond (ebook) OTN Technical Articles: Extending the Business Value of SOA through Business Process Management Unlocking the Value of Enterprise 2.0 Collaboration and Authoring Tools Principles of Natural Participation And here are some additional links if you are interested in learning more about Bob Rhubart and ArchBeat: ArchBeat blog ArchBeat Podcast Oracle Architect Community Mix Profile Linked In FriendFeed Twitter: @brhubart

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• Big Data – Operational Databases Supporting Big Data – Columnar, Graph and Spatial Database – Day 14 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the Key-Value Pair Databases and Document Databases in the Big Data Story. In this article we will understand the role of Columnar, Graph and Spatial Database supporting Big Data Story. Now we will see a few of the examples of the operational databases. Relational Databases (The day before yesterday’s post) NoSQL Databases (The day before yesterday’s post) Key-Value Pair Databases (Yesterday’s post) Document Databases (Yesterday’s post) Columnar Databases (Tomorrow’s post) Graph Databases (Today’s post) Spatial Databases (Today’s post) Columnar Databases  Relational Database is a row store database or a row oriented database. Columnar databases are column oriented or column store databases. As we discussed earlier in Big Data we have different kinds of data and we need to store different kinds of data in the database. When we have columnar database it is very easy to do so as we can just add a new column to the columnar database. HBase is one of the most popular columnar databases. It uses Hadoop file system and MapReduce for its core data storage. However, remember this is not a good solution for every application. This is particularly good for the database where there is high volume incremental data is gathered and processed. Graph Databases For a highly interconnected data it is suitable to use Graph Database. This database has node relationship structure. Nodes and relationships contain a Key Value Pair where data is stored. The major advantage of this database is that it supports faster navigation among various relationships. For example, Facebook uses a graph database to list and demonstrate various relationships between users. Neo4J is one of the most popular open source graph database. One of the major dis-advantage of the Graph Database is that it is not possible to self-reference (self joins in the RDBMS terms) and there might be real world scenarios where this might be required and graph database does not support it. Spatial Databases  We all use Foursquare, Google+ as well Facebook Check-ins for location aware check-ins. All the location aware applications figure out the position of the phone with the help of Global Positioning System (GPS). Think about it, so many different users at different location in the world and checking-in all together. Additionally, the applications now feature reach and users are demanding more and more information from them, for example like movies, coffee shop or places see. They are all running with the help of Spatial Databases. Spatial data are standardize by the Open Geospatial Consortium known as OGC. Spatial data helps answering many interesting questions like “Distance between two locations, area of interesting places etc.” When we think of it, it is very clear that handing spatial data and returning meaningful result is one big task when there are millions of users moving dynamically from one place to another place & requesting various spatial information. PostGIS/OpenGIS suite is very popular spatial database. It runs as a layer implementation on the RDBMS PostgreSQL. This makes it totally unique as it offers best from both the worlds. Courtesy: mushroom network Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Hive. 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

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• Oracle Enterprise Manager Extensibility News - June 2014

  - by Joe Diemer

  Introducing Extensibility Exchange Version 2 On the heals of Enterprise Manager 12c Release 4 this week comes version 2.0 of the Extensibility Exchange.  A new theme allows optimal viewing on a number of different computing devices from large monitor displays to tablets to smartphones.   One of the first things you'll notice is a scrollable banner with the latest news related to Enterprise Manager and extensibility.  Along with the "slider" and the latest entries from Oracle and the Partner community, new features like a tag cloud and an auto-complete search box provide a better way to find the plug-in, connector or other Enterprise Manager entity you are looking for.  Once you find it, a content details page with specific info related to that particular entity will enable you to access it at the provider's site and also rate and comment on that particular item. You can also send an email from the content details page which is routed to the developer.   And if you want to use version 1 of the Extensibility Exchange instead, you will be able to do so via the "Classic" option.  Check it out today at http://www.oracle.com/goto/emextensibility. Recent Additions from Oracle's Partner Community A number of important 3rd party plug-ins have been contributed by Oracle's partner community, which can be accessed via the Extensibility Exchange or by clicking the links in this blog: Dell Open Manage Fusion I-O ION Accelerator NetApp SANtricity E-Series PostgreSQL by Blue Medora You can also check out the following best practices and labs available via the Exchange: Riverbed Stingray Traffic Manager Reference Architecture Datavail Alert Optimizer Custom Templates Apps Associates' Oracle Enterprise Manager "Test Drives" for Oracle Database 12c Management Oracle Enterprise Manager Monitoring Essentials Oracle Application Management Suite for Oracle E-Business Suite

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• Can't save data for a member in a data form

  - by RahulS

  Implied sharing is an old thing everyone knows the reasons and solutions of that, still little theory about that: With Essbase implied sharing, some members are shared even if you do not explicitly set them as shared. These members are implied shared members. When an implied share relationship is created, each implied member assumes the other member’s value. Essbase assumes (or implies) a shared member relationship in these situations: 1. A parent has only one child 2. A parent has only one child that consolidates to the parent In a Planning form that contains members with an implied sharing relationship, when a value is added for the parent, the child assumes the same value after the form is saved. Likewise, if a value is added for the child, the parent usually assumes the same value after a form is saved.For example, when a calculation script or load rule populates an implied share member, the other implied share member assumes the value of the member populated by the calculation script or load rule. The last value calculated or imported takes precedence. The result is the same whether you refer to the parent or the child as a variable in a calculation script. For more information have a look at: http://docs.oracle.com/cd/E17236_01/epm.1112/hp_admin_11122/ch14s11.html Now the issue which we are going to talk about is We loose data on save even when the parent is dynamic calc and has a single child. A dynamic calc parent to a single child:  If we design the form with following selection: In the data form we will find parent below the member and this is by design whenever you make a selection using commands to select all the member below parent, always children will appear before the parent: Lets try to enter data, Save it Now, try to change the way we selected members Here we go: Now the question again why this behavior: 1. Data from Planning data form passes to Essbase row by row, 2. Because in data form the child member appears before the parent, 3. First, data goes to Essbase for child (SingleStoreChild), 4. Then when Planning passes the data for parent there was #Missing or No data,  5. Over writes the data to #missing. PS: As we know that dynamic calc members are calculated on the fly they are not allocated with any memory in the Essbase, here the parent was dynamic calc and it was pointing to same memory as child in the background, when Planning was passing data to Essbase for second row it has updated the child with missing data.(Little confusing, let me know if you need more explanation) 6. As one of the solutions just change the order of appearance of parent and child. Cheers..!!! Rahul S. https://www.facebook.com/pages/HyperionPlanning/117320818374228

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• Featured partner: Avnet To Supply Oracle Enterprise Cloud Management Solutions In Middle East & North Africa Region

  - by Javier Puerta

  "Global IT solutions distribution leader, Avnet Technology Solutions have been approved to distribute Oracle Enterprise Manager 12c, a complete, integrated and business-driven enterprise cloud management solution, in the Middle East & North Africa region. This will help Avnet which serve customers and suppliers in more than 70 countries to accelerate partners’ business growth in the region while providing support and enablement services to help them quickly address local opportunities. Oracle Enterprise Manager 12c creates business value from IT by leveraging the built-in management capabilities of the Oracle stack for traditional and cloud environments. Using this solution, customers have reported 12 times faster achievement of IT-business alignment. According to Senior Director Oracle business MENA, Avnet Technology Solutions, Hani Barakat, “Enterprises in the Middle East and North Africa region can increase their efficiency and responsiveness while reducing costs and complexity for traditional data centers, virtualised, and cloud computing environments with the help of Oracle Enterprise Manager 12c.” See full press release in "Ventures Africa"

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• Scrum metrics for quality

  - by zachary

  What is the best way to measure QA in scrum? We have members who typically test and they are measured against how many bugs they find. If they don't find any bugs then they are considered to be doing a bad job. However, it is my understanding that the developers and quality people are considered one in the same. I would think that they should be judged against the same metrics... not different metrics then the developers who may also be doing testing work... What is the best way to handle metrics for QA and should QA people have separate metrics from developers in scrum? Any documents or links someone can point me to in regards to this?

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• Sound quality in bluetooth headphones doesn't change to high

  - by Sergiy Byelozyorov

  My Bluetooth headset Philips SHB6610 has several profiles. It can work as low-quality headset (HFP) and high-quality headphones (A2DP). I mean sound quality. Typically whenever I start to play the music in my media player it works in high quality, while if I receive a call on Skype it switches to low-quality. Once call is finished it falls back on high quality again. However, from time to time, it happens that I connect headphones to the computer and they just stay in low-quality mode. I don't know how can I change the profile manually, since it was always done automatically so far. The only thing that helps (but not always) is re-pairing of headphones with PC. I am using Windows 7 on Toshiba Satellite Pro P300-1CG laptop, with Belkin Mini Bluetooth Adapter.

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• Facing quality issues

  - by juststartedmycareer

  A workforce management software has complex GUI (for example values in a page depends on the status (closed or open) of other pages). Only latest and near past development has test coverage. During our last release, we received lots of bugs from customer in-spite of 2 weeks of testing Sprint . We don't have dedicated test team. The developers does the unit test & User acceptance test. Every day triggers automated regression test. I am afraid the developers are not testing the entire workflow because its time consuming also not able to automate it because of its complexity. Any suggestions ?. The legacy code (15 yrs development) has less code coverage. How can I improve quality ? Note: Now not possible to hire testers to have independent test team!!

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• Is Data Science “Science”?

  - by BuckWoody

  I hold the term “science” in very high esteem. I grew up on the Space Coast in Florida, and eventually worked at the Kennedy Space Center, surrounded by very intelligent people who worked in various scientific fields. Recently a new term has entered the computing dialog – “Data Scientist”. Since it’s not a standard term, it has a lot of definitions, and in fact has been disputed as a correct term. After all, the reasoning goes, if there’s no such thing as “Data Science” then how can there be a Data Scientist? This argument has been made before, albeit with a different term – “Computer Science”. In Peter Denning’s excellent article “Is Computer Science Science” (April  2005/Vol. 48, No. 4 COMMUNICATIONS OF THE ACM) there are many points that separate “science” from “engineering” and even “art”.  I won’t repeat the content of that article here (I recommend you read it on your own) but will leverage the points he makes there. Definition of Science To ask the question “is data science ‘science’” then we need to start with a definition of terms. Various references put the definition into the same basic areas: Study of the physical world Systematic and/or disciplined study of a subject area ...and then they include the things studied, the bodies of knowledge and so on. The word itself comes from Latin, and means merely “to know” or “to study to know”. Greek divides knowledge further into “truth” (episteme), and practical use or effects (tekhne). Normally computing falls into the second realm. Definition of Data Science And now a more controversial definition: Data Science. This term is so new and perhaps so niche that the major dictionaries haven’t yet picked it up (my OED reference is older – can’t afford to pop for the online registration at present). Researching the term's general use I created an amalgam of the definitions this way: “Studying and applying mathematical and other techniques to derive information from complex data sets.” Using this definition, data science certainly seems to be science - it's learning about and studying some object or area using systematic methods. But implicit within the definition is the word “application”, which makes the process more akin to engineering or even technology than science. In fact, I find that using these techniques – and data itself – part of science, not science itself. I leave out the concept of studying data patterns or algorithms as part of this discipline. That is actually a domain I see within research, mathematics or computer science. That of course is a type of science, but does not seek for practical applications. As part of the argument against calling it “Data Science”, some point to the scientific method of creating a hypothesis, testing with controls, testing results against the hypothesis, and documenting for repeatability.  These are not steps that we often take in working with data. We normally start with a question, and fit patterns and algorithms to predict outcomes and find correlations. In this way Data Science is more akin to statistics (and in fact makes heavy use of them) in the process rather than starting with an assumption and following on with it. So, is Data Science “Science”? I’m uncertain – and I’m uncertain it matters. Even if we are facing rampant “title inflation” these days (does anyone introduce themselves as a secretary or supervisor anymore?) I can tolerate the term at least from the intent that we use data to study problems across a wide spectrum, rather than restricting it to a single domain. And I also understand those who have worked hard to achieve the very honorable title of “scientist” who have issues with those who borrow the term without asking. What do you think? Science, or not? Does it matter?

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• Data Modeling Resources

  - by Dejan Sarka

  You can find many different data modeling resources. It is impossible to list all of them. I selected only the most valuable ones for me, and, of course, the ones I contributed to. Books Chris J. Date: An Introduction to Database Systems – IMO a “must” to understand the relational model correctly. Terry Halpin, Tony Morgan: Information Modeling and Relational Databases – meet the object-role modeling leaders. Chris J. Date, Nikos Lorentzos and Hugh Darwen: Time and Relational Theory, Second Edition: Temporal Databases in the Relational Model and SQL – all theory needed to manage temporal data. Louis Davidson, Jessica M. Moss: Pro SQL Server 2012 Relational Database Design and Implementation – the best SQL Server focused data modeling book I know by two of my friends. Dejan Sarka, et al.: MCITP Self-Paced Training Kit (Exam 70-441): Designing Database Solutions by Using Microsoft® SQL Server™ 2005 – SQL Server 2005 data modeling training kit. Most of the text is still valid for SQL Server 2008, 2008 R2, 2012 and 2014. Itzik Ben-Gan, Lubor Kollar, Dejan Sarka, Steve Kass: Inside Microsoft SQL Server 2008 T-SQL Querying – Steve wrote a chapter with mathematical background, and I added a chapter with theoretical introduction to the relational model. Itzik Ben-Gan, Dejan Sarka, Roger Wolter, Greg Low, Ed Katibah, Isaac Kunen: Inside Microsoft SQL Server 2008 T-SQL Programming – I added three chapters with theoretical introduction and practical solutions for the user-defined data types, dynamic schema and temporal data. Dejan Sarka, Matija Lah, Grega Jerkic: Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft SQL Server 2012 – my first two chapters are about data warehouse design and implementation. Courses Data Modeling Essentials – I wrote a 3-day course for SolidQ. If you are interested in this course, which I could also deliver in a shorter seminar way, you can contact your closes SolidQ subsidiary, or, of course, me directly on addresses [email protected] or [email protected]. This course could also complement the existing courseware portfolio of training providers, which are welcome to contact me as well. Logical and Physical Modeling for Analytical Applications – online course I wrote for Pluralsight. Working with Temporal data in SQL Server – my latest Pluralsight course, where besides theory and implementation I introduce many original ways how to optimize temporal queries. Forthcoming presentations SQL Bits 12, July 17th – 19th, Telford, UK – I have a full-day pre-conference seminar Advanced Data Modeling Topics there.

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• How to evaluate the quality of Rails code?

  - by Fortuity

  In a code review, what do you look for to assess a developer's expertise? Given an opportunity to look at a developer's work on a real-world project, what tell-tale signs are a tip-off to carelessness or lack of experience? Conversely, where do you look in the code to find evidence of a developer's skill or knowledge of best practices? For example, if I'm looking at a typical Rails app, I would be happy to see the developer is using RSpec (showing a commitment to using test-driven development and knowledge that RSpec is currently more popular than the default TestUnit). But in examining the specs for a Rails model, I see that the developer is testing associations, which might indicate a lack of real understanding of Rails testing requirements (since such tests are redundant given that they only test what's already implemented and tested in ActiveRecord). More generally, I might look to see if developers are writing their own implementations versus using widely available gems or if they are cleaning up code versus leaving lots of commented-out "leftovers." What helps you determine the skill of a Rails developer? What's your code quality checklist?

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• Oracle OpenWorld 2012 Hands-on Lab: “Leading Your Everyday Application Integration Projects with Enterprise SOA”

  - by Lionel Dubreuil

  Sharpen your Oracle skill sets and master Oracle technology in Oracle OpenWorld Hands-on Labs.In self-paced, practical learning sessions covering everything from business applications to middleware, database, storage, and enterprise management solutions, you'll discover new ways to derive maximum benefits from your Oracle hardware and software solutionsOracle experts will be available in person to answer questions and guide you through each lab.Hands-on Labs fill up early, and seats are limited, so don’t be late.This  HOL10093 - Leading Your Everyday Application Integration Projects with Enterprise SOA is scheduled for: Date: Monday, Oct 1 Time: 10:45 AM - 11:45 AM Location: Marriott Marquis - Salon 5/6 In this Hands-on Lab, Experience firsthand how Oracle Enterprise Repository, Oracle Application Integration Architecture (AIA) Foundation Pack, and Oracle SOA Suite work together to help you drive your enterprisewide integration projects.From asset management, discovery, and management in Oracle Enterprise Repository to integration of content in Oracle AIA Foundation Pack operating on the Oracle SOA Suite platform, discover how you can develop integrations to support business agility.Take advantage of Oracle-delivered integration assets and validate your services for compliance, within Oracle JDeveloper. You will get your hands on the tools and talk with Oracle experts in this hands-on lab.Objectives for this session are to: Use Oracle Enterprise Repository to manage application interfaces, composite applications, and business processes See how Oracle Enterprise Repository can benefit every service-based application integration project Learn how to govern services through the software lifecycle and validate your services for compliance

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• Deploying Data Mining Models using Model Export and Import

  - by [email protected]

  In this post, we'll take a look at how Oracle Data Mining facilitates model deployment. After building and testing models, a next step is often putting your data mining model into a production system -- referred to as model deployment. The ability to move data mining model(s) easily into a production system can greatly speed model deployment, and reduce the overall cost. Since Oracle Data Mining provides models as first class database objects, models can be manipulated using familiar database techniques and technology. For example, one or more models can be exported to a flat file, similar to a database table dump file (.dmp). This file can be moved to a different instance of Oracle Database EE, and then imported. All methods for exporting and importing models are based on Oracle Data Pump technology and found in the DBMS_DATA_MINING package. Before performing the actual export or import, a directory object must be created. A directory object is a logical name in the database for a physical directory on the host computer. Read/write access to a directory object is necessary to access the host computer file system from within Oracle Database. For our example, we'll work in the DMUSER schema. First, DMUSER requires the privilege to create any directory. This is often granted through the sysdba account. grant create any directory to dmuser; Now, DMUSER can create the directory object specifying the path where the exported model file (.dmp) should be placed. In this case, on a linux machine, we have the directory /scratch/oracle. CREATE OR REPLACE DIRECTORY dmdir AS '/scratch/oracle'; If you aren't sure of the exact name of the model or models to export, you can find the list of models using the following query: select model_name from user_mining_models; There are several options when exporting models. We can export a single model, multiple models, or all models in a schema using the following procedure calls: BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('MY_MODEL.dmp','dmdir','name =''MY_DT_MODEL'''); END; BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('MY_MODELS.dmp','dmdir',              'name IN (''MY_DT_MODEL'',''MY_KM_MODEL'')'); END; BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('ALL_DMUSER_MODELS.dmp','dmdir'); END; A .dmp file can be imported into another schema or database using the following procedure call, for example: BEGIN   DBMS_DATA_MINING.IMPORT_MODEL('MY_MODELS.dmp', 'dmdir'); END; As with models from any data mining tool, when moving a model from one environment to another, care needs to be taken to ensure the transformations that prepare the data for model building are matched (with appropriate parameters and statistics) in the system where the model is deployed. Oracle Data Mining provides automatic data preparation (ADP) and embedded data preparation (EDP) to reduce, or possibly eliminate, the need to explicitly transport transformations with the model. In the case of ADP, ODM automatically prepares the data and includes the necessary transformations in the model itself. In the case of EDP, users can associate their own transformations with attributes of a model. These transformations are automatically applied when applying the model to data, i.e., scoring. Exporting and importing a model with ADP or EDP results in these transformations being immediately available with the model in the production system.

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• Oracle Enterprise Manager Cloud Control 12c Release 3 (12.1.0.3)

  - by Ankit G

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Delighted to announce the GA of EM Cloud Control Release 3 on all supported platforms. This release includes a new 12.1.0.3 version of platform (OMS & Agent), along with revised new versions of several Plug-ins and Metadata plug-ins (including a brand new Metadata plug-in for Oracle Virtual Networking). This release marks yet another major & significant milestone for Enterprise Manager 12c Cloud Control product releases. Following shows the list of new plug-ins versions available along the Oracle Enterprise Manager Cloud Control 12c Release 3 (12.1.0.3). The new plug-ins have dependency on 12.1.0.3 platform, and customer needs to be on minimum 12.1.0.3 platform (OMS/Agent) version of the product before being able to deploy/use these plug-in versions. (In other words, the new plug-in versions cannot be deployed, unless Oracle Enterprise Manager Cloud Control 12c Release 3 (12.1.0.3) is installed or upgraded to). Oracle Enterprise Manager Cloud Control 12c Release 3 (12.1.0.3) release includes tons of new features, along with several stability and performance bug fixes and is available for download for all platforms from OTN:Installation/Upgrade paths: EM Customers can do a fresh installation using "Oracle Enterprise Manager Cloud Control 12c Release 3 (12.1.0.3)", and will get the latest version of the platform, along with all the latest versions of plug-ins and Metadata plug-ins out of the box. EM Customers who are on Release1 (12.1.0.1+BP1) or Release 2 (12.1.0.2), or on older releases 11g and 10.2.0.5, can choose to use Oracle Enterprise Manager Cloud Control 12c Release 3 bits, to upgrade directly to the latest Release 3, and the plug-ins will be automatically upgraded to the latest versions. Enterprise Manager Certification Matrix is also now available on My Oracle Support - here.

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• Oracle Communications Data Model

  - by jean-pierre.dijcks

  I've mentioned OCDM in previous posts but found the following (see end of the post) podcast on the topic and figured it is worthwhile to spread the news some more. ORetailDM and OCommunicationsDM are the two data models currently available from Oracle. Both are intended to capture: Business best practices and industry knowledge Pre-built advanced analytics intended to predict future events before they happen (like the Churn model shown below) Oracle technology best practices to ensure optimal performance of the model All of this typically comes with a reduced time to implementation, or as the marketing slogan goes, reduced time to value. Here are the links: Podcast on OCDM OTN pages for OCDM and ORDM

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• SQL SERVER – Data and Page Compressions – Data Storage and IO Improvement

  - by pinaldave

  The performance of SQL Server is primarily decided by the disk I/O efficiency. Improving I/O definitely improves the performance. SQL Server 2008 introduced Data and Backup compression features to improve the disk I/O. Here, I will explain Data compression. Data compression implies the reduction in the disk space reserved by data. Therefore, data compression can be [...]

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• SQLAuthority News – #SQLPASS 2012 Seattle Update – Memorylane 2009, 2010, 2011

  - by pinaldave

  Today is the first day of the SQLPASS 2012 and I will be soon posting SQL Server 2012 experience over here. Today when I landed in Seattle, I got the nostalgia feeling. I used to stay in the USA. I stayed here for more than 7 years – I studied here and I worked in USA. I had lots of friends in Seattle when I used to stay in the USA. I always wanted to visit Seattle because it is THE place. I remember once I purchased a ticket to travel to Seattle through Priceline (well it was the cheapest option and I was a student) but could not fly because of an interesting issue. I used to be Teaching Assistant of an advanced course and the professor asked me to build a pop-quiz for the course. I unfortunately had to cancel the trip. Before I returned to India – I pretty much covered every city existed in my list to must visit, except one – Seattle. It was so interesting that I never made it to Seattle even though I wanted to visit, when I was in USA. After that one time I never got a chance to travel to Seattle. After a few years I also returned to India for good. Once on Television I saw “Sleepless in Seattle” movie playing and I immediately changed the channel as it reminded me that I never made it to Seattle before. However, destiny has its own way to handle decisions. After I returned to India – I visited Seattle total of 5 times and this is my 6th visit to Seattle in less than 3 years. I was here for 3 previous SQLPASS events – 2009, 2010, and 2011 as well two Microsoft Most Valuable Professional Summit in 2009 and 2010. During these five trips I tried to catch up with all of my all friends but I realize that time has its own way of doing things. Many moved out of Seattle and many were too busy revive the old friendship but there were few who always make a point to meet me when I travel to the city. During the course of my visits I have made few fantastic new friends – Rick Morelan (Joes 2 Pros) and Greg Lynch. Every time I meet them I feel that I know them for years. I think city of Seattle has played very important part in our relationship that I got these fantastic friends. SQLPASS is the event where I find all of my SQL Friends and I look for this event for an entire year. This year’s my goal is to meet as many as new friends I can meet. If you are going to be at SQLPASS – FIND ME. I want to have a photo with you. I want to remember each name as I believe this is very important part of our life – making new friends and sustaining new friendship. Here are few of the pointers where you can find me. All Keynotes – Blogger’s Table Exhibition Booth Joes 2 Pros Booth #117 – Do not forget to stop by at the booth – I might have goodies for you – limited editions. Book Signing Events – Check details in tomorrow’s blog or stop by Booth #117 Evening Parties 6th Nov – Welcome Reception Evening Parties 7th Nov - Exhibitor Reception – Do not miss Booth #117 Evening Parties 8th Nov - Community Appreciation Party Additionally at few other locations – Embarcadero Booth In Coffee shops in Convention Center If you are SQLPASS – make sure that I find an opportunity to meet you at the event. Reserve a little time and lets have a coffee together. I will be continuously tweeting about my where about on twitter so let us stay connected on twitter. Here is my experience of my earlier experience of attending SQLPASS. SQLAuthority News – Book Signing Event – SQLPASS 2011 Event Log SQLAuthority News – Meeting SQL Friends – SQLPASS 2011 Event Log SQLAuthority News – Story of Seattle – SQLPASS 2011 Event Log SQLAuthority News – SQLPASS Nov 8-11, 2010-Seattle – An Alternative Look at Experience SQLAuthority News – Notes of Excellent Experience at SQL PASS 2009 Summit, Seattle Let us meet! Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: PostADay, SQL, SQL Authority, SQL PASS, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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• SQL SERVER – Unable to DELETE Project in Data Quality Projects (DQS)

  - by pinaldave

  Here is the email which made me write this blog post. When I write a blog post I write keeping in mind that if the developer is not familiar with the concept he will attempt this on the development server. If due to any reason you attempt it on any other server than your personal server, developer should make sure to have complete confidence on his own expertise and understand the risk behind it.  Well, let us read the email which I received. I have modified it a bit to remove information related to organizational and individual. “I just read your blog post on Beginning DQS. I went ahead and followed every single screenshot and it worked fine. I was able to execute the DQS project successfully. However, the same blog post got me in trouble – a serious trouble. After first successful deployment I went ahead and created a few of my own knowledge base and projects. I played around a bit and then decided to get back to real work. Now we had deployed DQS on production server only, so experiment on production server. Now, when I got back to my work, I forgot to close all the windows. My manager found the window open and have seen my test projects. He has asked me to delete my experiments immediately and have said words which I cannot write to you. Here is the problem. I am not able to delete the project which I have created earlier. I am able to open it and play with it but the delete option is disabled and grayed out (see attached image). Now I believe there is nothing wrong with this project as it was just a test project. Would you please write to my manager that it is not harmful to leave that project there as it is? It is also not using any resources. I think he will believe you.” As I said this kind of email makes me uncomfortable. I do not want someone to execute anything on production server. I often write notes and disclaimer on my post when something is dangerous to execute on production server. However, if someone is not expert with SQL Server and attempts something new on production server, I think the major issue is here with the person (admin) who gave new developer permission to production server. This has to be carefully avoided. Here was my response to the individual. “I cannot write to your manager anything as he has not asked me anything. Honestly I believe he is correct in his behavior as you should have not executed anything on the production server without prior approval and testing on the development server. Any R&D must be done on local box or development box. I suggest you request your manager to prevent access to users who does not need access. If he is a good manager, he might have already implemented by now recent event. I also see your screenshot. Here is the issue: While you were playing with project, you might have closed the project half the way, without completing it. Due to the same reason it is locked. You can open and continue from the same place where you have left the project. If you do not need the project any more. Right click on it, click on unlock the project. This will enable the DELETE option and now you can delete the project. Next time, be safe out there. It may be dangerous to have admin access to production server when not needed.“ I have yet not heard from him but I believe he will take my words positively. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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• Why Oracle Data Integrator for Big Data?

  - by Mala Narasimharajan

  Big Data is everywhere these days - but what exactly is it? It’s data that comes from a multitude of sources – not only structured data, but unstructured data as well.  The sheer volume of data is mindboggling – here are a few examples of big data: climate information collected from sensors, social media information, digital pictures, log files, online video files, medical records or online transaction records.  These are just a few examples of what constitutes big data.   Embedded in big data is tremendous value and being able to manipulate, load, transform and analyze big data is key to enhancing productivity and competitiveness.  The value of big data lies in its propensity for greater in-depth analysis and data segmentation -- in turn giving companies detailed information on product performance, customer preferences and inventory.  Furthermore, by being able to store and create more data in digital form, “big data can unlock significant value by making information transparent and usable at much higher frequency." (McKinsey Global Institute, May 2011) Oracle's flagship product for bulk data movement and transformation, Oracle Data Integrator, is a critical component of Oracle’s Big Data strategy. ODI provides automation, bulk loading, and validation and transformation capabilities for Big Data while minimizing the complexities of using Hadoop.  Specifically, the advantages of ODI in a Big Data scenario are due to pre-built Knowledge Modules that drive processing in Hadoop. This leverages the graphical UI to load and unload data from Hadoop, perform data validations and create mapping expressions for transformations.  The Knowledge Modules provide a key jump-start and eliminate a significant amount of Hadoop development.  Using Oracle Data Integrator together with Oracle Big Data Connectors, you can simplify the complexities of mapping, accessing, and loading big data (via NoSQL or HDFS) but also correlating your enterprise data – this correlation may require integrating across heterogeneous and standards-based environments, connecting to Oracle Exadata, or sourcing via a big data platform such as Oracle Big Data Appliance. To learn more about Oracle Data Integration and Big Data, download our resource kit to see the latest in whitepapers, webinars, downloads, and more… or go to our website on www.oracle.com/bigdata

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