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  • How to get the speed of a network card on the command line?

    - by nelaar
    I am trying to see what the speed of some network cards on a remote server. Our reporting software says they are 10Mbps, but I am sure that is wrong they should be 1Gbps. Our monitoring software uses SNMP to query the servers, perhaps the servers are reporting information incorrectly. ifconfig does not report what the speed of the devices are. How can I see what the currently configured speed of the cards are.

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  • Incorrect units in iotop output

    - by brodie
    iotop is behaving strangely on a opensuse 11.2 server. It all of a sudden started reporting the output in the wrong units. Kilobytes per second are now Terabytes a second, Gigabytes now Petabytes. This server is also having stability issues, so I'm curious as to if the system is reporting things wrong to iotop is related to other issues. Any one else see similar behaviour?

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  • SSRS 2008 + SSL displays 404 not found

    - by Matt
    Hi, I have SQL reporting services configured to use a secure certificate and when I visit both Reports and ReportManager I get a 404 not found error. The reporting services logs do not contain any error information. I am a bit at a loss to know where to start to diagnose this problem, especially as SSRS is not using IIS. I created the SSL binding using the Reporting Services Configuration Manager; IP Address: (All IPv4) SSL Port: 443 Certificate: {the certicate was present in the drop down list} URL: https://mydomain:444/Reports What can I check to get this working? Thanks

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  • Sharing a custom datasource between Winforms and Webforms

    - by Earlz
    Hello, I'd like to create a custom datasource that is shared between a Winforms and Webforms project. This functions as a middle layer for a reporting tool(DevExpress Reporting). The Webforms project is a designer for these reports. So we want for the reports to be capable of going to the server to get data and such. So our datasource would abstract away all the communication overhead. Then, for consistency, the datasource would also run on the server for reporting, except for their would be no communication. What would be the best course of action? There doesn't seem to be such a thing as a DataSource in Winforms. Is DataSource not the thing I'm looking for? Edit: After some research, it appears that IDataAdapter may be good for my purpose. Any opinion on that?

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  • Android multiple screen sizes and density problems

    - by Ben Mc
    I'm having a real problem with my drawables that I just can't seem to figure out. The problem is this: There are screen sizes at approximately 320x480, 480x800, 480x854 Then there are most commonly densities at 1.0 (160) and 1.5 (240) Now, on a Droid, the screen size is 480x800 and the density is reporting using DisplayMetrics as 1.5 On the G1, it's 320x480 and reporting back at a density of 1.0 BUT tablet devices are reporting back at 480x800 with a density of 1.0 (160) So, I'm going mad because I can put 320x480 images in the drawables-mdpi folder and 480x800 images in the drawables-hdpi folder, but on Tablet computers, no matter what it's not resizing up anything to a full screen. Any help would be greatly appreciated. I just want all of my 320x480 images to scale up regardless of the device.

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  • The first day of JavaOne is already over!

    - by delabassee
    In the past Sunday used to be a more relaxing day with ‘just’ some JavaOne activities going on. Sunday used to be a soft day to prepare yourself for an exhausting week. This is now over as JavaOne is expanding; Sunday is now an integral part of the conference. One of the side effect of this extra day is that some activities related to JavaOne and OpenWorld such as MySQL Connect are being push to start a day earlier on Saturday (can you spot the pattern here?). On the GlassFish front, Sunday was a very busy day! It started at the Moscone Center with the annual GlassFish Community Event where the Java EE 7 and GF 4 roadmaps were presented and discussed. During the event, different GlassFish users such as ZeroTurnaround (the JRebel guys), Grupo RBS and IDR Solutions shared their views on GF, why they like GF but also what could be improved. The event was also a forum for the GF community to exchange with some of the key Java EE / GlassFish Oracle Executives and the different GF team members. The Strategy keynote and the Technical keynote were held in the Masonic Auditorium later in the after-noon. Oracle executives have presented the plans for Java SE, Java FX and Java EE. As on-demand replays will be available soon, I will not summarize several hours of content but here are some personal takeaways from those keynotes. Modularity Modularity is a big deal. We know by now that Project Jigsaw will not be ready for Java SE 8 but in any case, it is already possible (and encouraged) to test Jigsaw today. In the future, Java EE plan to rely on the modularity features provided by Java SE, so Project Jigsaw is also relevant for Java EE developers. Shorter term, to cover some of the modular requirements, Java SE will adopt the approach that was used for Java EE 6 and the notion of Profiles. This approach does not define a module system per say; Profiles is a way to clearly define different subsets of Java SE to fulfill different needs (e.g. the full JRE is not required for a headless application). The introduction of different Profiles, from the Base profile (10mb) to the Full Profile (+50mb), has been proposed for Java SE 8. Embedded Embedded is a strong theme going forward for the Java Plaform. There is now a dedicated program : Java Embedded @ JavaOne Java by nature (e.g. platform independence, built-in security, ability easily talks to any back-end systems, large set of skills available on the market, etc.) is probably the most suited platform for the Internet of Things. You can quickly be up-to-speed and develop services and applications for that space just by using your current Java skills. All you need to start developing on ARM is a 35$ Raspberry Pi ARM board (25$ if you are cheap and can live without an ethernet connection) and the recently released JDK for Linux/ARM. Obviously, GlassFish runs on Raspberry Pi. If you wan to go further in the embedded space, you should take a look Java SE Embedded, an optimized, low footprint, Java environment that support the major embedded architectures (ARM, PPC and x86). Finally, Oracle has recently introduced Java Embedded Suite, a new solution that brings modern middleware capabilities to the embedded space. Java Embedded Suite is an optimized solution that leverage Java SE Embedded but also GlassFish, Jersey and JavaDB to deploy advanced value added capabilities (eg. sensor data filtering and) deeper in the network, closer to the devices. JavaFX JavaFX is going strong! Starting from Java SE 7u6, JavaFX is bundled with the JDK. JavaFX is now available for all the major desktop platforms (Windows, Linux and Mac OS X). JavaFX is now also available, in developer preview, for low end device running Linux/ARM. During the keynote, JavaFX was shown running on a Raspberry Pi! And as announced during the keynote, JavaFX should be fully open-sourced by the end of the year; contributions are welcome!. There is a strong momentum around JavaFX, it’s the ideal client solution for the Java platform. A client layer that works perfectly with GlassFish on the back-end. If you were not convince by JavaFX, it’s time to reconsider it! As an old Chinese proverb say “One tweet is worth a thousand words!” HTML5, Project Avatar and Java EE 7 HTML5 got a lot of airtime too, it was covered during the Java EE 7 section of the keynote. Some details about Project Avatar, Oracle’s incubator project for a TSA (Thin Server Architecture) solution, were diluted and shown during the keynote. On the tooling side, Project Easel running on NetBeans 7.3 beta was demo’ed, including a cool NetBeans debugging session running in Chrome! HTML 5, Project Avatar and Java EE 7 deserve separate posts... Feedback We need your feedback! There are many projects, JSRs and products cooking : GlassFish 4, Project Jigsaw, Concurrency Utilities for Java EE (JSR 236), OpenJFX, OpenJDK to name just a few. Those projects, those specifications will have a profound impact on the Java platform for the years to come! So if you have the opportunity, download, install, learn, tests them and give feedback! Remember, you can "Make the Future Java!" Finally, the traditional GlassFish Party at the Thirsty Bear concluded the first JavaOne day. This party is another place where the community can freely exchange with the GlassFish team in a more relaxed, more friendly (but sometime more noisy) atmosphere. Arun has posted a set of pictures to reflect the atmosphere of the keynotes and the GlassFish party. You can find more details on the others Java EE and GlassFish activities here.

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  • Unlock the Full Value of Oracle CRM On Demand

    - by charles.knapp
    Register for this live Oracle CRM On Demand Virtual Community Session! Oracle CRM On Demand delivers the most complete On Demand CRM available anywhere. But how can you ensure you are getting maximum value from the many powerful features that Oracle CRM On Demand offers? Join our interactive Oracle CRM On Demand Virtual Community Session on Tuesday, January 11, 2011 from 10.00-11 a.m. PT / 1 p.m.-2 p.m. ET to get expert advice and discuss the best ways to unlock the full potential of Oracle CRM Demand with Mike Lairson, author of 'Oracle CRM On Demand Reporting'. Book OfferSend your Oracle CRM On Demand configuration ideas before the Webcast to [email protected] and you could win a free copy of 'Oracle CRM On Demand Reporting' by Mike Lairson. Learn more and register now!

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  • Unlock the Full Value of Oracle CRM On Demand

    - by ruth.donohue
    Register for this live Oracle CRM On Demand Virtual Community Session! Oracle CRM On Demand delivers the most complete On Demand CRM solution on the market. But how can you ensure you are getting maximum value from the many powerful features that Oracle CRM On Demand offers? Join our interactive Oracle CRM On Demand Virtual Community Session on Tuesday, January 11, 2011 from 10.00-11 a.m. PT / 1 p.m.-2 p.m. ET to get expert advice and discuss the best ways to unlock the full potential of Oracle CRM Demand with Mike Lairson, author of 'Oracle CRM On Demand Reporting'. Book Offer Send your Oracle CRM On Demand configuration ideas before the Webcast to [email protected] and you could win a free copy of 'Oracle CRM On Demand Reporting' by Mike Lairson. Learn more and register now!

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  • BI&EPM in Focus June 2014

    - by Mike.Hallett(at)Oracle-BI&EPM
    Applications Webcast Centre – A Library of Discussion and Research for Best Practice: Achieving Reliable Planning, Budgeting and Forecasting Talent Analytics and Big Data – Is HR ready for the challenge Enterprise Data – The cost of non-quality Customers Josephine Niemiec from ADP talks about Oracle Hyperion Workforce Planning at Collaborate 2014 (link) Video Chris Nelms from Ameren talks about Oracle BI Spend and Procurement Analytics at Collaborate 2014 (link) Video Leggett & Platt Leverages Oracle Hyperion EPM and Demantra (link) Video Pella Corporation Accelerates Close Cycle by Cutting Time for Financial Consolidation from Three Days to Less Than One Day (link) Secretaría General de Administración de Justicia en España Enhances Citizen Services with Near-Real-Time Business Intelligence Gleaned from 500 Databases  (link) Bellco Credit Union Speeds Budget Development by 30%—Gains Insight into Specific Branch and Financial Product Profitability  (link)  Video QDQ media Speeds up Financial Reporting by 24x, Gains Business Agility, and Integrates Seamlessly into Corporate Accounting System  (link) Westfield Group Maximizes Shopping Mall Revenue, Shortens Year-End Financial Consolidation by 75%  (link)  IL&FS Transportation Networks Shortens Financial Consolidation and Reporting Cycle by Eight Days, Gains In-Depth Insight into Business Performance   (link) Angel Trains Optimizes Rail Operations for Purchasing, Sourcing, and Project Management to Meet Challenges of Evolving Rail Industry  (link) Enterprise Performance Management June 11, at Oracle Utrecht, NL: Morning session: Explore Planning and Budgeting in the Cloud (link) June 12, London: PureApps Presents: Best Practice Financial Consolidation and Reporting Workshop (link) July 3, Koln: Oracle Hyperion Business Analytics Roundtable (link) Blog: What's Your Tax Strategy? Automate the Operational Transfer Pricing Process (link) YouTube Video: Automate Tax Reporting with Oracle Hyperion Tax Provision (link) YouTube Video: Introducing Oracle Hyperion Planning’s Tablet Optimized Interface (link) OracleEPMWebcasts @ YouTube (link) Partner webcasts: Wednesday, 4 June, 5.00 GMT - Case Study:  Lessons Learned from Edgewater Ranzal's Internal Implementation of Oracle Planning & Budgeting Cloud Service (PBCS) - Learn more and register here! Thursday, 5 June, 4.00 GMT - Achieving Accountable Care Using Oracle Technology - Learn more and register here! Tuesday, 17 June, 4.00 GMT - Optimizing Performance for Oracle EPM Systems - Learn more and register here! Oracle University Blog: The Coolest Features Available with Oracle Hyperion 11.1.2.3 – Training from OU to help you to best use them (link) Support: Proactive Support: EPM Hyperion Planning 11.1.2.3.500 Using RMI Service [Blog] Proactive Support: Planning and Budgeting Cloud Service Videos (link) Planning and Budgeting Cloud Service (PBCS) 11.1.2.3.410 Patch Bundle [Doc ID 1670981.1] Hyperion Analytic Provider Services 11.1.2.2.106 Patch Set Update [Doc ID 1667350.1] Hyperion Essbase 11.1.2.2.106 Patch Set Update [Doc ID 1667346.1] Hyperion Essbase Administration Services 11.1.2.2.106 Patch Set Update [Doc ID 1667348.1] Hyperion Essbase Studio 11.1.2.2.106 Patch Set Update [Doc ID 1667329.1] Hyperion Smart View 11.1.2.5.210 Patch Set Update [Doc ID 1669427.1] Using HPCM, HSF or DRM Communities (link) Business Intelligence June 12, Birmingham, UK: Oracle Big Data at Work - Use Cases and Architecture (link) June 17, London: Oracle at Cloud & Big Data World Forums (link) June 17, Partner Webcast: Transform your Planning Capabilities with Peloton's CloudAccelerator for Oracle PBCS (link) June 19, London: Oracle at the Whitehall Media Big Data Analytics Conference and Exhibition (link) June 19, London: Partner Event - Agile BI Conference by Peak Indicators [link] June 25, Munich: Oracle Special Day auf der TDWI 2014 Konferenz (link) July 15, London: Oracle Endeca Information Discovery Workshop (link) July 16, London: BI Applications Workshop – Financial Analytics & Procurement Analytics (link) July 17, London: BI Applications Workshop – HR Analytics (link) Milan, Italy: L’Osservatorio Big Data Analytics & Business Intelligence with Politecnico di Milano (link) OBIA 11.1.1.8.1 - Now Available [Blog] What’s New in OBIA 11.1.1.8.1 [Blog] BI Blog: A closer look at Oracle BI Applications 11.1.1.8.1 release (link) Press Release: BI Applications Deliver Greater Insight into Talent and Procurement (link) Support Blog: OBIA 11.1.1.8.1 Upgrade Guide & Documentation (link) YouTube Video: Glenn Hoormann of Ludus talks to us about Oracle Business Intelligence and ERP at Collaborate 2014 (Link) YouTube Video: Performance Architects talks about key BI and Mobile trends, including Endeca at Collaborate 2014 (link) Big Data Blog: 3 Keys for Using Big Data Effectively for Enhanced Customer Experience (link) Big Data Lite Demo VM 3.0 Now Available on OTN BI Blog: Data Relationship Governance - Workflow in a Bottle (link) MDM Blog: Register for Product Data Management Weekly Cloudcasts (link) MDM Blog: Improve your Customer Experience with High Quality Information (link) MDM Blog: Big Data Challenges & Considerations (link) Oracle University: Oracle BI Applications 11g: Implementation using ODI (link) Proactive Support: Monthly Index [Blog] My Oracle Support: Partner Accreditation for Business Analytics Support [Blog] OBIEE 11g Test-to-Production (T2P) / Clone Procedures Guide [Blog] Normal 0 false false false EN-GB X-NONE X-NONE /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; 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;}

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  • New e learning course on Business Intelligence

    - by simonsabin
    I just got this from fello SQL MVP Chris Testa O'Neil   "I am pleased to announce the release of the Author Model eCourseCollection 6233 AE: Implementing and Maintaining Business Intelligence in Microsoft® SQL Server® 2008: Integration Services, Reporting Services and Analysis Services This 24-hour collection provides you with the skills and knowledge required for implementing and maintaining business intelligence solutions on SQL Server 2008. You will learn about the SQL Server technologies, such as Integration Services, Analysis Services, and Reporting Services. This collection also helps students to prepare for Exam 70-448 and can be accessed from: http://www.microsoft.com/learning/elearning/course/6233.mspx   

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  • Database design and performance impact

    - by Craige
    I have a database design issue that I'm not quite sure how to approach, nor if the benefits out weigh the costs. I'm hoping some P.SE members can give some feedback on my suggested design, as well as any similar experiences they may have came across. As it goes, I am building an application that has large reporting demands. Speed is an important issue, as there will be peak usages throughout the year. This application/database has a multiple-level, many-to-many relationship. eg object a object b object c object d object b has relationship to object a object c has relationship to object b, a object d has relationship to object c, b, a Theoretically, this could go on for unlimited levels, though logic dictates it could only go so far. My idea here, to speed up reporting, would be to create a syndicate table that acts as a global many-to-many join table. In this table (with the given example), one might see: +----------+-----------+---------+ | child_id | parent_id | type_id | +----------+-----------+---------+ | b | a | 1 | | c | b | 2 | | c | a | 3 | | d | c | 4 | | d | b | 5 | | d | a | 6 | +----------+-----------+---------+ Where a, b, c and d would translate to their respective ID's in their respective tables. So, for ease of reporting all of a which exist on object d, one could query SELECT * FROM `syndicates` ... JOINS TO child and parent tables ... WHERE parent_id=a and type_id=6; rather than having a query with a join to each level up the chain. The Problem This table grows exponentially, and in a given year, could easily grow past 20,000 records for one client. Given multiple clients over multiple years, this table will VERY quickly explode to millions of records and beyond. Now, the database will, in time, be partitioned across multiple servers, but I would like (as most would) to keep the number of servers as low as possible while still offering flexibility. Also writes and updates would be exponentially longer (though possibly not noticeable to the end user) as there would be multiple inserts/updates/scans on this table to keep it in sync. Am I going in the right direction here, or am I way off track. What would you do in a similar situation? This solution seems overly complex, but allows the greatest flexibility and fastest read-operations. Sidenote 1 - This structure allows me to add new levels to the tree easily. Sidenote 2 - The database querying for this database is done through an ORM framework.

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  • How to make whoopsie more silent (log clutter with "online"messages)

    - by Rmano
    I know what whoopsie is from the answers to What is the 'whoopsie' process and how can I remove it? I do not want to stop error reporting, as I think that error reporting is the minimum a user should do to try to help Ubuntu. But since the upgrade to 13.10, whoopsie has grown up quite chatty. I have literally hundreds of messages like that in my logs: SYS: Nov 4 14:40:48 samsung-romano whoopsie[1156]: online SYS: Nov 4 14:41:56 whoopsie[1156]: last message repeated 4 times SYS: Nov 4 14:42:56 whoopsie[1156]: last message repeated 2 times SYS: Nov 4 14:43:56 whoopsie[1156]: last message repeated 2 times SYS: Nov 4 14:44:56 whoopsie[1156]: last message repeated 2 times % zgrep whoopsie /var/log/syslog*gz | wc -l 773 Is there a way to tell whoopsie to be less verbose? (the funny output format is from SLogger, a homemade program to check system log files I wrote ages ago, but this is basically the content of /var/log/syslog file).

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  • SQL SERVER 2012 Editions – Highlights of The Cloud-Ready Information Platform

    - by pinaldave
    Microsoft has just announced SQL Server 2012 Editions information on official SQL Server 2012 site. SQL Server 2012 will be available in three main editions: Enterprise Business Intelligence Standard The other editions are Web, Developer and Express. Here is the salient features of each of the edition: Enterprise Advanced high availability with AlwaysOn High performance data warehousing with ColumnStore Maximum virtualization (with Software Assurance) Inclusive of Business Intelligence edition’s capabilities Business Intelligence Rapid data discovery with Power View Corporate and scalable reporting and analytics Data Quality Services and Master Data Services Inclusive of the Standard edition’s capabilities Standard Standard continues to offer basic database, reporting and analytics capabilities There is comparison chart of various other aspect of the above editions. Please refer here. Additionally SQL Server 2012 licensing is also explained here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, SQLServer, T SQL, Technology

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  • WebCenter Customer Spotlight: Los Angeles Department of Water and Power

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution Summary Los Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. The goal of the project was to implement a newly designed web portal to increase customer self-service while reducing transactions via IVR and automate many of the paper based processes to web based workflows for their 1.6 million customers. LADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content and Oracle SOA Suite for the integration of their complex back-end systems infrastructure. The new portal has received extremely positive feedback from not only the customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Company OverviewLos Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. LADWP also bills most of these customers for sanitation services provided by another department in the city of Los Angeles.  Business ChallengesThe goal of the project was to implement a newly designed web portal that is easy to navigate from a web browser and mobile devices, as well as be the platform for surfacing internet and intranet applications at LADWP. The primary objective of the new portal was to increase customer self-service while reducing the transactions via IVR and walk-up and to automate many of the paper based processes to web based workflows for customers. This includes automation of Self Service implemented through My Account (Bill Pay, Payment History, Bill History, Usage analysis, Service Request Management) Financial Assistance Programs Customer Rebate Programs Turn Off/Turn On/Transfer of Services Outage Reporting eNotification (SMS, email) Solution DeployedLADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content. Using Oracle SOA Suite they integrated various back-end systems including Oracle Siebel CRM IBM Mainframe based CIS FILENET for document management EBP Eletronic Bill Payment System HP Imprint System for BillXML data Other systems including outage reporting systems, SMS service, etc. The new portal’s features include: Complete Graphical redesign based on best practices in UI Design for high usability Customer Self Service implemented through MyAccount (Bill Pay, Payment History, Bill History, Usage Analysis, Service Request Management) Financial Assistance Programs (CRM, WebCenter) Customer Rebate Programs (CRM, WebCenter) Turn On/Off/Transfer of services (Commercial & Residential) Outage Reporting eNotification (SMS, email) Multilingual (English & Spanish) – using WebCenter multi-language support Section 508 (ADA) Compliant Search – Using WebCenter SES (Secured Enterprise Search) Distributed Authorship in WebCenter Content Mobile Access (any Mobile Browser) Business ResultsThe new portal has received extremely positive feedback from not only customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Additional Information LADWP OpenWorld presentation Oracle WebCenter Portal Oracle WebCenter Content Oracle SOA Suite

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  • Windows Azure Recipe: Big Data

    - by Clint Edmonson
    As the name implies, what we’re talking about here is the explosion of electronic data that comes from huge volumes of transactions, devices, and sensors being captured by businesses today. This data often comes in unstructured formats and/or too fast for us to effectively process in real time. Collectively, we call these the 4 big data V’s: Volume, Velocity, Variety, and Variability. These qualities make this type of data best managed by NoSQL systems like Hadoop, rather than by conventional Relational Database Management System (RDBMS). We know that there are patterns hidden inside this data that might provide competitive insight into market trends.  The key is knowing when and how to leverage these “No SQL” tools combined with traditional business such as SQL-based relational databases and warehouses and other business intelligence tools. Drivers Petabyte scale data collection and storage Business intelligence and insight Solution The sketch below shows one of many big data solutions using Hadoop’s unique highly scalable storage and parallel processing capabilities combined with Microsoft Office’s Business Intelligence Components to access the data in the cluster. Ingredients Hadoop – this big data industry heavyweight provides both large scale data storage infrastructure and a highly parallelized map-reduce processing engine to crunch through the data efficiently. Here are the key pieces of the environment: Pig - a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Mahout - a machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are implemented on top of Apache Hadoop using the map/reduce paradigm. Hive - data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in distributed storage. Directly accessible to Microsoft Office and other consumers via add-ins and the Hive ODBC data driver. Pegasus - a Peta-scale graph mining system that runs in parallel, distributed manner on top of Hadoop and that provides algorithms for important graph mining tasks such as Degree, PageRank, Random Walk with Restart (RWR), Radius, and Connected Components. Sqoop - a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. Flume - a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large log data amounts to HDFS. Database – directly accessible to Hadoop via the Sqoop based Microsoft SQL Server Connector for Apache Hadoop, data can be efficiently transferred to traditional relational data stores for replication, reporting, or other needs. Reporting – provides easily consumable reporting when combined with a database being fed from the Hadoop environment. Training These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. Hadoop Learning Resources (20+ tutorials and labs) Huge collection of resources for learning about all aspects of Apache Hadoop-based development on Windows Azure and the Hadoop and Windows Azure Ecosystems SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • Combined Likelihood Models

    - by Lukas Vermeer
    In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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  • TFS vs. Star Team comparison

    - by ryanabr
    I have a sales call today in which the person that I am talking to is interested in what TFS would give them over Star Team, The first thing I believe that I can say is that TFS is cheaper! Especially if you are doing MSFT development already and your team members have MSDN subscriptions as the CALs for TFS are covered in the MSDN subscription. The other thing that I noticed about Star Team was all of the references to ‘readiness’ and ‘integration’. While that is great, that means that other tools will be needed to provide the features that are already bundled with TFS like, SharePoint integration, as well as Analysis Services and Reporting Services to provide visibility on the web with reports on project health, and team velocity. Below is a quick table that I was able to throw together to answer some high level questions: Feature TFS Star Team Work Items X X Work Item custom Queries X X Customizable Work Items X Web Portal View X X Reporting X Integration Version Control X X Build Management X Integration Integrated Test Suite X Integration Cost Free for first 5 / MSDN Sub covers others $7500 / seat

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  • Creating your First Crystal Report for Use in a .NET Application

    Have you ever had to create a custom report within an application you have written for a customer? Most developers have, and there are two schools of thought on how developers normally perform this task. Some choose to create the report using the same technology that the application was created in (ASP, WinFrom, WPF) while others choose to use a reporting package such as Crystal Reports. Using a reporting package will help create reports rapidly. This article walk you through the creation of your first report using Crystal Reports.

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  • Creating your First Crystal Report for Use in a .NET Application

    Have you ever had to create a custom report within an application you have written for a customer? Most developers have, and there are two schools of thought on how developers normally perform this task. Some choose to create the report using the same technology that the application was created in (ASP, WinFrom, WPF) while others choose to use a reporting package such as Crystal Reports. Using a reporting package will help create reports rapidly. This article walk you through the creation of your first report using Crystal Reports.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • BI&EPM in Focus December 2012

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} Share with your customers: October Edition of Business Analytics Customer Newsletter (link) Oracle OpenWorld Presentation pdf's available for download (link) OOW Mark Hurd Recap: Business Analytics at Oracle OpenWorld (video | blog) Register your customers for Oracle Days 2012 (link | video) BI & EPM Business Analytics Advisor Webcasts on My.Oracle.Support - Current Schedule and Archived (link) Customers Wüstenrot Efficiently Generates Reports and Analyzes Data with Enterprise Reporting Solution Empresas Públicas Medellin Gathers Data for Annual, Financial Projections 70% Faster ICON Improves Month-End Reporting Significantly Using a Single Source for Timely Consistent Business Intelligence, Reduces Reliance on Spreadsheets  Gilead Sciences, a science-led company backed by business-led IT, uses Oracle solutions to simplify business processes and establish a foundation for continued growth Dell Enhances the Customer Experience with Oracle’s RTD (video) Link to Complete Archive Enterprise Performance Management eBook: Transforming Enterprise Business Planning (link) Blog: Why CFO's should care about Big Data (link) Oracle Hyperion Project Financial Planning - New Projects Feature Release 11.1.2.2 Video Feature Overview. Now Available with many other Hyperion overviews on the YouTube Oracle EPM Channel (link) Available Patch Sets and Patch Set Updates for Oracle Hyperion Enterprise Performance Management Products on My.Oracle.Support (link) Hyperion Disclosure Management supplementary materials provides a set of guides for Disclosure Management and Taxonomy Designer users, including best practices guidelines, a full Disclosure Management sample report, a webinar series, and other guiding materials on My.Oracle.Support (link) See the selection of EPM Customer Videos at MediaNetwork (Hyperion) Business Intelligence Webcast Replay: Big Data, Bright Future, featuring Andrew McAfee (link) Webinar series and guides on Getting Started With Hyperion Interactive Reporting Translation Workbench, a tool that accelerates metadata conversion from IR to Oracle BI Enterprise Edition (OBIEE) on My.Oracle.Support (link) See the selection of BI Customer Videos at MediaNetwork (BI) and for (Exalytics) and (Endeca) ORACLE TEAM USA Analytics Dashboard demo - Now Available (link)

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  • EPM Architecture: Foundation

    - by Marc Schumacher
    This post is the first of a series that is going to describe the EPM System architecture per component. During the following weeks a couple of follow up posts will describe each component. If applicable, the component will have its standard port next to its name in brackets. EPM Foundation is Java based and consists of two web applications, Shared Services and Workspace. Both applications are accessed by browser through Oracle HTTP Server (OHS) or Internet Information Services (IIS). Communication to the backend database is done by JDBC. The file system to store Lifecycle Management (LCM) artifacts can be either local or remote (e.g. NFS, network share). For authentication purposes, the EPM Product Suite can connect to external directories or databases. Interaction with other EPM Suite components like product specific Lifecycle Management connectors or Reporting and Analysis Web happens through HTTP protocol. The next post will cover Reporting and Analysis.

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  • SQL Down Under Show 51 - Guest Conor Cunningham - Now online

    - by Greg Low
    Late last night I got to record an interview with Conor Cunningham.Most people that know Conor have come across him as the product team wizard that knows so much about query processing and optimization in SQL Server. Conor is currently spending quite a lot of time working on Windows Azure SQL Database, which we used to know as SQL Azure. I'm still trying to think of a good way to say "WASD". I suppose I'll pronounce it like "wassid". Windows Azure SQL Reporting is easier. I think it just needs to be pronounced like "wazza" with a very Australian accent.In the show, we've spent time on the current state of the platform, on dispelling a number of common misbeliefs about the product, and hopefully on answering most of the common questions that seem to get asked about it. We then ventured into Federations, Data Sync, and Reporting.You'll find the show (and previous shows) here: http://www.sqldownunder.com/Resources/Podcast.aspxEnjoy!PS: For those that like transcripts, we've got the process for producing them much improved now and the transcript should also be up within a few days.

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  • BI Publisher at OpenWorld 2012

    - by mdonohue
    For those going to OpenWorld, hope you can join us for any of the following Sessions, Hands On Labs or just stop by and visit us in the DEMOgrounds: Moscone South S-262 Oracle Business Intelligence Publisher Overview, What’s New, and What’s Planned Monday, 1-Oct 13:45 - 14:45Moscone South - 305Mike Donohue - Oraclewith Ed Farler - CSC Oracle Business Intelligence Publisher: Reporting for Oracle Applications Wednesday, 3-Oct 11:45 - 12:45Palace Hotel - RoseMike Donohue - OracleNote: new room to accommodate everyone who pre-registered Oracle Business Intelligence Publisher Best Practices: Be a Reporting Superstar Wednesday, 3-Oct 15:30 - 16:30Moscone South - 305Nikos Psomas & Klaus Fabian - Oracle Two sessions of the Hands on Lab:  Building Reports and Data Models in Oracle Business Intelligence Publisher Tuesday 2-Oct 17:00 - 18:00andThursday 4-Oct 11:15 - 12:15Marriott Marquis - Salon 5/6Nikos Psomas, Klaus Fabian & Kasturi Shekar -- Oracle You can also download the Focus on BI Publisher sheet that lists all Publisher related Sessions, Labs and DEMOground stations. Hope to see you there.

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  • Statements of direction for EPM 11.1.1.x series products

    - by THE
    Some of the older parts of EPM that have been replaced with newer software will phase out after January 2013. For most of these the 11.1.1.x Series will be the last release. They will then only be supported via sustaining support (see policy). We have notes about: the Essbase Excel Add In (replaced by SmartView which nearly achieved functionality parity with release 11.1.2.1.102) Oracle Essbase Spreadsheet Add-in Statement of Direction (Doc ID 1466700.1) Hyperion Data Integration Management (replaced by Oracle Data Integrator ( ODI )) Hyperion Data Integration Management Statement of Direction (Doc ID 1267051.1) Hyperion Enterprise and Enterprise Reporting (replaced by HFM) Hyperion Enterprise and Hyperion Enterprise Reporting Statement of Direction (Doc ID 1396504.1) Hyperion Business Rules (replaced by Calculation Manager) Hyperion Business Rules Statement of Direction (Doc ID 1448421.1) Oracle Visual Explorer (this one phased out in June 11 already - just in case anyone missed it) Oracle Essbase Visual Explorer Statement of Direction (Doc ID 1327945.1) For a complete list of the Supported Lifetimes, please review the "Oracle Lifetime Support Policy for Applications"

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