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• First Foray&ndash;About timeout

  - by SQLMonger

  It has been quite a while since I signed up for this blog site and high time that something was posted.  I have a list of topics that I will be working through and posting.  Some I am sure will have been posted by others, but I will be sticking to the technical problems and challenges that I’ve recently faced, and the solutions that worked for me.  My motto when learning something new has always been “My kingdom for an example!”, and I plan on delivering useful examples here so others can learn from my efforts, failures and successes.   A bit of background about me… My name is Clayton Groom. I am a founding partner of a consulting firm in St. Louis Missouri, Covenant Technology Partners, LLC and focus on SQL Server Data Warehouse design, Analysis Services and Enterprise Reporting solutions.  I have been working with SQL Server since the early nineties, when it still only ran on OS/2. I love solving puzzles and technical challenges.   Enough about me… On to a real problem… SSIS Connection Time outs versus Command Time outs Last week, I was working on automating the processing for a large Analysis Services cube.  I had reworked an SSIS package and script task originally posted by Vidas Matelis that automates the process of adding new and dropping old partitions to/from an Analysis Services cube.  I had the package working great, tested, and ready for deployment.  It basically performs a query against the source system to determine if there is new data in the warehouse that will require a new partition to be added to the cube, and it checks the cube to see if there are any partitions that are present that are no longer needed in a rolling 60 month window. My client uses Tivoli for running all their production jobs, and not SQL Agent, so I had to build a command line file for Tivoli to use to run the package. Everything was going great. I had tested the command file from my development workstation using an XML configuration file to pass in server-specific parameters into the package when executed using the DTExec utility. With all the pieces ready, I updated the dtsconfig file to point to the UAT environment and started working with the Tivoli developer to test the job.  On the first run, the job failed, and from what I could see in the SSIS log, it had failed because of a timeout. Other errors in the log made me think that perhaps the connection string had not been passed into the package correctly. We bumped the Connection Manager  timeout values from 20 seconds to 120 seconds and tried again. The job still failed. After changing the command line to use the /SET option instead of the /CONFIGFILE option, we tested again, and again failure. After a number more failed attempts, and getting the Teradata DBA involved to monitor and see if we were connecting and failing or just failing to connect, we determined that the job was indeed connecting to the server and then disconnecting itself after 30 seconds.  This seemed odd, as we had the timeout values for the connection manager set to 180 seconds by then.  At this point one of the DBA’s found a post on the Teradata forum that had the clues to the puzzle: There is a separate “CommandTimeout” custom property on the Data source object that may needed to be adjusted for longer running queries.  I opened up the SSIS package, opened the data flow task that generated the partition list table and right-clicked on the data source. from the context menu, I selected “Show Advanced Editor” and found the property. Sure enough, it was set to 30 seconds. The CommandTimeout property can also be edited in the SSIS Properties sheet. In order to determine how long the timeout needed to be, I ran the query from the task in the development environment and received a response in a matter of seconds.  I then tried the same query against the production database and waited several minutes for a response. This did not seem to be a reasonable response time for the query involved, and indeed it wasn’t. The Teradata DBA’s adjusted the query governor settings for the service account I was testing with, and we were able to get the response back down under a minute.  Still, I set the CommandTimeout property to a much higher value in case the job was ever started during a time of high-demand on the production server. With this change in place, the job finally completed successfully.  The lesson learned for me was two-fold: Always compare query execution times between development and production environments, and don’t assume that production will always be faster.  With higher user demands, query governors, and a whole lot more data, the execution time of even what might seem to be simple queries can vary greatly. SSIS Connection time out settings do not affect command time outs.  Connection timeouts control how long the package will wait for a response from the server before assuming the server is not available or is not responding. Command time outs control how long a task will wait for results to start being returned before deciding that the server is not responding. Both lessons seem pretty straight forward, and I felt pretty sheepish once I finally figured out what the issue was.  To be fair though, In the 5+ years that I have been working with SSIS, I could only recall one other time where I had to set the CommandTimeout property, and that memory only resurfaced while I was penning this post.

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• Search engine friendly, SEO blog software

  - by Steve

  Is there a comparison of the SEO capabilities of different blogging software/blogging plugins? I'd like things to be as optimised as possible. I have a basic grasp of SEO principles, probably 12-24 months old. I'm about to start a blog, after having a few previously. Also, I'm not up to speed on what pings are in the blogging world. What are they, and how do they work? I assume it is best to have blogging software that automatically pings.

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• what are the best concert-ticket systems? comercial and open source

  - by helle

  can anybody recommend (of developers-opinion) such systems, where you can book tickets for concerts, conferences, etc. one should be able to book a seat as well, and it shell do the debitcard stuff, and has a good interface for accounting. I am looking for an open source solution, but I am also interested in commercial ones, to have a comparison of features and prices, etc. thanks for everybodys suggestions - pros and cons to it are very wellcome ;) well, it shouldn't has a flash component multi languages :) would be great an extra mobile-view is preferred the extra extra bonus for such a system would be a very good wordpress compatibility p.s. sorry for my english well ... I already googled a lot. But I found so very many, that I hope you could help me to find a good choice, to have a base from where I can do a further lookup. and for sure :) What are the things you I have to have in mind. What brings troubles, what brings costs?

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• Google I/O 2010 - BigQuery and Prediction APIs

  Google I/O 2010 - BigQuery and Prediction APIs Google I/O 2010 - BigQuery and Prediction APIs App Engine 101 Amit Agarwal, Max Lin, Gideon Mann, Siddartha Naidu Google relies heavily on data analysis and has developed many tools to understand large datasets. Two of these tools are now available on a limited sign-up basis to developers: (1) BigQuery: interactive analysis of very large data sets and (2) Prediction API: make informed predictions from your data. We will demonstrate their use and give instructions on how to get access. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 6 0 ratings Time: 57:48 More in Science & Technology

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• Can Separation of Duties Deter Cybercrime? YES!

  - by roxana.bradescu

  According to the CERT 2010 CyberSecurity Watch Survey: The public may not be aware of the number of incidents because almost three-quarters (72%), on average, of the insider incidents are handled internally without legal action or the involvement of law enforcement. However, cybercrimes committed by insiders are often more costly and damaging than attacks from outside. When asked what security policies and procedures supported or played a role in the deterrence of a potential cybercriminal, 36% said technically-enforced segregation of duties. In fact, many data protection regulations call for separation of duties and enforcement of least privilege. Oracle Database Security solutions can help you meet these requirements and prevent insider threats by preventing privileged IT staff from accessing the data they are charged with managing, ensuring developers and testers don't have access to production data, making sure that all database activity is monitored and audited to prevent abuse, and more. All without changes to your existing applications or costly infrastructure investments. To learn more, watch our Oracle Database Management Separation of Duties for Security and Regulatory Compliance webcast.

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• InstantWild: Identify Animals From Around the World; Help Scientists

  - by Jason Fitzpatrick

  Web-based/iPhone: InstantWild is an iOS and web application that displays research cameras from around the world; help scientists by turning your eco-voyeurism into positive identification of endangered species. It’s a neat mashup of a fun application and legitimate research. There are hundreds of remote cameras set up around the world, designed to capture photographs of animals (especially endangered ones) in their native habitats. When you visit InstantWild (or load the app on your iPhone) you’re treated to pictures from all around the world. In the course of browsing those photos from around the world you can help out by tagging the animals in the photos to assist zoologists and other scientists in their research. Hit up the link below to check out the web-based version and even grab a copy for your phone. InstantWild [via Wired] Amazon’s New Kindle Fire Tablet: the How-To Geek Review HTG Explains: How Hackers Take Over Web Sites with SQL Injection / DDoS Use Your Android Phone to Comparison Shop: 4 Scanner Apps Reviewed

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• DIY Leak Detector Prevents Water Damage

  - by Jason Fitzpatrick

  There’s no need to shell out for an expensive commercial leak detector when you can cobble together a simple one from basic parts. Over at Make Magazine, Electrical Engineer Jeff Tegre shares a straight forward guide to cobbling together a simple leak detector. Armed with the leak detector you can get an early alert if you water heater, washer, or other leak-prone appliances are hemorrhaging water. Make a Leak Detector for $25 [Make] Amazon’s New Kindle Fire Tablet: the How-To Geek Review HTG Explains: How Hackers Take Over Web Sites with SQL Injection / DDoS Use Your Android Phone to Comparison Shop: 4 Scanner Apps Reviewed

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• jQuery mobile List-View is not working after adding some jquery code [closed]

  - by Kaidul Islam Sazal

  I am using jquery mobile and I have an array makeArrayin jquery and I have created few listview by the values of the array.Everything works fine.But the jquery mobile list-view style is not shown. Rather it is shown an ordinary list view. This is my code: $(document).ready(function(){ var url = "inventory/inventory.json"; var makeArray = new Array(); $.getJSON(url, function(data){ $.each(data, function(index, item){ if(($.inArray(item.make, makeArray)) == -1){ makeArray.push(item.make); $('.upper_case') .append('<li data-icon="list-arrow"> <a href="trade_form.php?='+ item.make +'"><img src="images/car_logo/buick.png" class="ui-li-thumb"/>' + item.make + '</a></li>'); } }); }); });

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• Parallel Computing in .Net 4.0

  - by kaleidoscope

  Technorati Tags: Ram,Parallel Computing in .Net 4.0 Parallel computing is the simultaneous use of multiple compute resources to solve a computational problem: To be run using multiple CPUs A problem is broken into discrete parts that can be solved concurrently Each part is further broken down to a series of instructions Instructions from each part execute simultaneously on different CPUs Parallel Extensions in .NET 4.0 provides a set of libraries and tools to achieve the above mentioned objectives. This supports two paradigms of parallel computing Data Parallelism – This refers to dividing the data across multiple processors for parallel execution.e.g we are processing an array of 1000 elements we can distribute the data between two processors say 500 each. This is supported by the Parallel LINQ (PLINQ) in .NET 4.0 Task Parallelism – This breaks down the program into multiple tasks which can be parallelized and are executed on different processors. This is supported by Task Parallel Library (TPL) in .NET 4.0 A high level view is shown below:

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• Distributed Transaction Framework across webservices

  - by John Petrak

  I am designing a new system that has one central web service and several site web services which are spread across the country and some overseas. It has some data that must be identical on all sites. So my plan is to maintain that data in the central web service and then "sync" the data to sites. This includes inserts, edits and deletes. I see a problem when deleting, if one site has used the record, then I need to undo the delete that has happened on the other servers. This lead me to idea that I need some sort of transaction system that can work across different web servers. Before I design one from scratch, I would like to know if anyone has come across this sort of problem and if there are any frame works or even design patterns that might aid me?

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• Oracle Key Vault Sneak Peek at NYOUG

  - by Troy Kitch

  The New York Oracle Users Group will get a sneak peek of Oracle Key Vault on Tuesday, June 3, by Todd Bottger, Senior Principal Product Manager, Oracle. If you recall, Oracle Key Vault made its first appearance at last year's Oracle OpenWorld in San Francisco within the session "Introducing Oracle Key Vault: Enterprise Database Encryption Key Management." You can catch Todd's talk from 9:30 to 10:30 am. Session Abstract With many global regulations calling for data encryption, centralized and secure key management has become a need for most organizations. This session introduces Oracle Key Vault for centrally managing encryption keys, wallets, and passwords for databases and other enterprise servers. Oracle Key Vault enables large-scale deployments of Oracle Advanced Security’s Transparent Data Encryption feature and secure sharing of keys between Oracle Real Application Clusters (Oracle RAC), Oracle Active Data Guard, and Oracle GoldenGate deployments. With support for industry standards such as OASIS KMIP and PKCS #11, Oracle Key Vault can centrally manage keys and passwords for other endpoints in your organization and provide greater reliability, availability, and security. 

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• What does "general purpose system" mean for Java SE Embedded?

  - by Majid Azimi

  The Oracle website says this about Java SE Embedded license: development is free, but royalties are required upon deployment on anything other than general purpose systems What does "general purpose system" mean here? We have a sensor network around the country. On each box we have installed, there is a micro controller based board that gets data from the environment and send data on serial port to a ARM based embedded board. On this board system there is a Java process which reads and submits data to our central server using JMS. Is this categorized as general purpose system? Sorry I'm asking this here. We are in Iran, there is no Oracle office here to ask.

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• HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It

  - by Chris Hoffman

  You’ve probably heard that you need to overwrite a drive multiple times to make the data unrecoverable. Many disk-wiping utilities offer multiple-pass wipes. This is an urban legend – you only need to wipe a drive once. Wiping refers to overwriting a drive with all 0’s, all 1’s, or random data. It’s important to wipe a drive once before disposing of it to make your data unrecoverable, but additional wipes offer a false sense of security. Image Credit: Norlando Pobre on Flickr HTG Explains: Learn How Websites Are Tracking You Online Here’s How to Download Windows 8 Release Preview Right Now HTG Explains: Why Linux Doesn’t Need Defragmenting

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• Google not recognizing microdata? [duplicate]

  - by user1795832

  This question already has an answer here: How long for data highlighter mark up to appear in structured data tool? 2 answers I put in microdata to one page of a site I help manage using schema.org. Using the Google webmaster tool test, the page checks out and displays what it sees as the microdata properly. But when I go to the Structured Data page in webmaster tools, it keeps saying the site does not have any. I put it in 2 weeks ago. Us it just something that take a while for it to recognize? Or does microdata have to be on every page for it to be recognized or something?

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• Strategies for Indexing Custom Fields in RavenDB

  - by Adrian Thompson Phillips

  In the relational database world, if I was developing a CRM system and wanted to have the user add their own custom fields that are searchable, I could have tables that store the name of the new column, the data type and the value, etc. (which would be less inefficient to index) or I could use the less elegant (but more searchable) solution that software like Dynamics and SharePoint use, whereas I create a load of columns on my aggregate root called CustomInt1, CustomInt2, etc. (which looks dirty and has a limit of how many custom fields a user can have, but has indexing advantages). But my questions is this, in NoSQL databases, what would be the best way of achieving the same thing? My priority would be for searchability. So what would be the best way to store this data? If I used a predefined set of properties (i.e. CustomData1, CustomData2, etc.), because these are all stored as JSON (i.e. strings) in the database, does this make it simpler because I don't have to worry about data types?

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• HRMS Release Update Pack 7 for Release 12.1 - Patch 18004477 Released

  - by DanaD

  We are pleased to announce that Patch 18004477 HRMS Release Update Pack 7 for Release 12.1 was released on May 30, 2014. Please refer to the following notes for more details about 12.1 HRMS RUP7: Doc ID 1645859.1 Oracle Human Resources Management Systems Readme, HRMS Release Update Pack 7 for Release 12.1 Doc ID 1636758.1 Known Issues on Top of Patch 18004477 - R12.HR_PF.B.DELTA.7 Please review the following extremely important patching notes: Doc ID 135266.1 Oracle HRMS Productive Family - Release 11i and Release 12 Doc ID 145837.1 Latest HRMS (HR Global) Legislative Data Patch Available Doc ID 140511.1 How to Install Legislative Data Using Data Installer and hrglobal.drv Doc ID 158275.1 Troubleshooting Guide for HRMS Post Install Steps Doc ID 300097.1 HRGLOBAL Basics Doc ID 276928.1 Requirements for Address Validation with HR Only Installation Doc ID 161818.1 Oracle Database (RDBMS) Releases Support Status Summary

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• How to handle mutiple API calls using javascript/jquery

  - by James Privett

  I need to build a service that will call multiple API's at the same time and then output the results on the page (Think of how a price comparison site works for example). The idea being that as each API call completes the results are sent to the browser immediately and the page would get progressively bigger until all process are complete. Because these API calls may take several seconds each to return I would like to do this via javascript/jquery in order to create a better user experience. I have never done anything like this before using javascript/jquery so I was wondering if there was any frameworks/advice that anyone would be willing to share.

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• Oracle Business Analytics bejelentés

  - by user645740

  Jelenleg is zajlik az Oracle Business Analytics bejelentés. Rövid regisztrációt követoen megnézhetjük az eloadásokat, késobb akár felvételrol is: http://www.oracle.com/us/corporate/events/business-analytics/index.html Klasszikusokkal szólva: "Mi már nem azok a lovagok vagyunk, akik azt mondják, hogy NI!" Mark Hurd és Balaji Yelamanchili világítja meg az Oracle stratégiáját a Business Analytics területen. Hogyan tudnak a döntéshozók eredményeebben és gyorsabban elemezni. Business Analytics, tervezett célrendszerek Exadata Database Machine, Big Data Appliance, Exalytics In-Memory Machine, teljesítménymenedzsment alkalmazások, az Endeca felvásárlás integrációja. A keynote utáni eloadások: Achieving Predictable Performance with Oracle Hyperion Enterprise Performance Management Explore All Relevant Data—Introducing Oracle Endeca Information Discovery Run Your Business Faster and Smarter with Oracle Business Intelligence Applications on Oracle Exalytics In-Memory Machine Analyzing and Deciding with Big Data http://www.oracle.com/us/corporate/events/business-analytics/index.html

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• Partitioning tutorial - new features in Oracle Database 12c

  - by KLaker

  For data warehousing projects Oracle Partitioning really is a must-have feature because it delivers so many important benefits such as: Dramatically improves query performance and speeds up database maintenance operations Lowers costs by enabling a tiered storage approach that allows data to be stored on the most cost-effective storage for better resource utilisation Combined with Oracle Advanced Compression, it provides an automated approach to information lifecycle management using a simple, efficient, yet powerful way to manage data growth and reduce complexity and costs To help you get the most from partitioning we have released a new tutorial that covers the 12c new features. Topics include how to: Use Interval Reference Partitioning Perform Cascading TRUNCATE and EXCHANGE Operations Move Partitions Online Maintain Multiple Partitions Maintain Global Indexes Asynchronously Use Partial Indexes For more information about this tutorial follow this link to the Oracle Learning Library: http://apex.oracle.com/pls/apex/f?p=44785:24:0::NO:24:P24_CONTENT_ID,P24_PREV_PAGE:8408,2 where you can begin your tutorial right now! For more information about Oracle Partitioning visit our home page on OTN: http://www.oracle.com/technetwork/database/bi-datawarehousing/dbbi-tech-info-part-100980.html

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• Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

  - by Tanu Sood

  Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; mso-border-top-themecolor:accent6; border-left:none; border-bottom:solid #E0301E 1.0pt; mso-border-bottom-themecolor:accent6; border-right:none; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Georgia","serif"; color:black; mso-themecolor:text1; mso-ansi-language:EN-GB;} table.MsoTableMediumList1Accent6FirstRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:cell-none; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; font-family:"Verdana","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; mso-border-top-themecolor:accent6; border-left:none; border-bottom:solid #E0301E 1.0pt; mso-border-bottom-themecolor:accent6; border-right:none; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Georgia","serif"; color:black; mso-themecolor:text1; mso-ansi-language:EN-GB;} table.MsoTableMediumList1Accent6FirstRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:cell-none; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. 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Praveen Krishna is a Manager in the Advisory Security practice within PwC.  Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries.  His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC.  He has consulted for several clients across multiple industries including financial services, health care, automotive and retail.   Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC.  He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

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• Sample size and statistical significance in Google Analytics

  - by colmcq

  I have been asked to compile a report into dropout rates during checkout for a global webstore I have used a sample size over one month as my sample because: google analytics slows to a crawl over larger sample sizes and makes much of the analysis agonisingly small I believe it to be statistically significant and a representative sample My client has asked me why I didn't use yearly figures and wants proof that one month of data is 'statistically significant'. Am I right in thinking that I need to compare the standard deviation of my monthly sample to the yearly sample and ensure that the deviation is under a certain %age? Question: how do I prove one month of Google Analytics data is representative to one year worth of data? Stats: 90k unique views/month ~1.1m per year.

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• What's missing in ASP.NET MVC?

  - by LukaszW.pl

  Hello programmers, I think there are not many people who don't think that ASP.NET MVC is one of the greatest technologies Microsoft gave us. It gives full control over the rendered HTML, provides separation of concerns and suits to stateless nature of web. Next versions of framework gaves us new features and tools and it's great, but... what solutions should Microsoft include in new versions of framework? What are biggest gaps in comparison with another web frameworks like PHP or Ruby? What could improve developers productivity? What's missing in ASP.NET MVC?

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• How to Banish Duplicate Photos with VisiPic

  - by Jason Fitzpatrick

  You meant well, you intended to be a good file custodian, but somewhere along the way things got out of hand and you’ve got duplicate photos galore. Don’t be afraid to delete them and lose important photos, read on as we show you how to clean safely. Deleting duplicate files, especially important ones like personal photos, makes a lot of people quite anxious (and rightfully so). Nobody wants to be the one to realize that they deleted all the photos of their child’s first birthday party during a hard drive purge gone wrong. In this tutorial we’re going to show you how to go beyond the limited reach of  tools which simply compare file names and file sizes. Instead we’ll be using a program that combines that kind of comparison with actual image analysis to help you weed out not just perfect 1:1 file duplicates but also those piles of resized for email images, cropped images, and other modified images that might be cluttering up your hard drive. How to Banish Duplicate Photos with VisiPic How to Make Your Laptop Choose a Wired Connection Instead of Wireless HTG Explains: What Is Two-Factor Authentication and Should I Be Using It?

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• Do you count a Masters in CS as a negative?

  - by Pete Hodgson

  In my experience interviewing developers I feel like candidates who've achieved a Masters in Comp Sci tend to be worse programmers on average that those who don't have a Masters. Is that just me, or have others noticed this phenomenon? If so, why would that be the case? UPDATE I appreciate the thoughtful comments. I think I should have been clearer in the comparison I'm making. Given two candidates who graduated from college around the same time, someone who went on to gain a Masters seems on average to be a worse programmer than someone who spent all their time in industry.

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• Is it convenient to use a XML/JSON generated based system? [closed]

  - by Marcelo de Assis

  One of my clients insists that we missed a requisite for the project(a little social network, using PHP + MySql), is that all queries are made from XML / JSON static files (using AJAX) and not directly from the database. Edit: The main reason, stated by client, is a way to economize bandwith. Even the file loading, has to be using AJAX, to avoid server side processing. We will still use a database to store and insert data. These XML / JSON files will be (re) generated whenever any data is changed by CMS or users. As the project was developed without this "technique", we'll have a lot of work ahead, so I would like to avoid that. I'm asking if it's convenient to use a XML generated based system, because I think a database is already "optimized" and secure to deal with a lot of data traffic. Other issue I'm afraid of, is a chance of conflict when a user is trying to read a XML/JSON which is being just generated.

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