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  • How does Core Data work

    - by Jason
    Ive tried to gather information on as to how core data works, but can someone give me a clear explanation of all the stuff required...For instance NSDataContext, Fetchcontroller, NSDataModel, Presistent... Perhaps all the steps involved to get a data...Now I'm also unclear about an SQLite file, like how do we load the data into the core data , once we have created our entities etc.. Thanks

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  • Performance problem with an Intel Wireless 5100

    - by Piet
    I just installed 12.04 on a HP Elitebook 2530p. The performance with wireless connection to an Eminem 4551 is very bad. Wired connection just works great. If I connect to my router (Eminent 4551) wired I have a good performance accessing internet pages with Firefox. When I try to access the same internet pages wireless I get a real bad performance. piet@piet-HP-EliteBook-2530p:~$ lspci 00:00.0 Host bridge: Intel Corporation Mobile 4 Series Chipset Memory Controller Hub (rev 07) 00:02.0 VGA compatible controller: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller (rev 07) 00:02.1 Display controller: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller (rev 07) 00:03.0 Communication controller: Intel Corporation Mobile 4 Series Chipset MEI Controller (rev 07) 00:03.2 IDE interface: Intel Corporation Mobile 4 Series Chipset PT IDER Controller (rev 07) 00:03.3 Serial controller: Intel Corporation Mobile 4 Series Chipset AMT SOL Redirection (rev 07) 00:19.0 Ethernet controller: Intel Corporation 82567LM Gigabit Network Connection (rev 03) 00:1a.0 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #4 (rev 03) 00:1a.1 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #5 (rev 03) 00:1a.2 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #6 (rev 03) 00:1a.7 USB controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #2 (rev 03) 00:1b.0 Audio device: Intel Corporation 82801I (ICH9 Family) HD Audio Controller (rev 03) 00:1c.0 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 1 (rev 03) 00:1c.1 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 2 (rev 03) 00:1c.2 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 3 (rev 03) 00:1d.0 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #1 (rev 03) 00:1d.1 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #2 (rev 03) 00:1d.2 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #3 (rev 03) 00:1d.7 USB controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #1 (rev 03) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev 93) 00:1f.0 ISA bridge: Intel Corporation ICH9M-E LPC Interface Controller (rev 03) 00:1f.2 SATA controller: Intel Corporation 82801IBM/IEM (ICH9M/ICH9M-E) 4 port SATA Controller [AHCI mode] (rev 03) 02:00.0 Network controller: Intel Corporation PRO/Wireless 5100 AGN [Shiloh] Network Connection 44:06.0 FireWire (IEEE 1394): Ricoh Co Ltd R5C832 IEEE 1394 Controller (rev 05) 44:06.1 SD Host controller: Ricoh Co Ltd R5C822 SD/SDIO/MMC/MS/MSPro Host Adapter (rev 22) piet@piet-HP-EliteBook-2530p:~$

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  • SQL SERVER – SQL Server Performance: Indexing Basics – SQL in Sixty Seconds #006 – Video

    - by pinaldave
    A DBA’s role is critical, because a production environment has to run 24×7, hence maintenance, trouble shooting, and quick resolutions are the need of the hour.  The first baby step into any performance tuning exercise in SQL Server involves creating, analyzing, and maintaining indexes. Though we have learnt indexing concepts from our college days, indexing implementation inside SQL Server can vary.  Understanding this behavior and designing our applications appropriately will make sure the application is performed to its highest potential. Vinod Kumar and myself we often thought about this and realized that practical understanding of the indexes is very important. One can not master every single aspects of the index. However there are some minimum expertise one should gain if performance is one of the concern. More on Indexes: SQL Index SQL Performance I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. Here is the interview of Vinod Kumar by myself. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Video

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  • Unexpected SQL Server 2008 Performance Tip: Avoid local variables in WHERE clause

    - by Jim Duffy
    Sometimes an application needs to have every last drop of performance it can get, others not so much. We’re in the process of converting some legacy Visual FoxPro data into SQL Server 2008 for an application and ran into a situation that required some performance tweaking. I figured the Making Microsoft SQL Server 2008 Fly session that Yavor Angelov (SQL Server Program Manager – Query Processing) presented at PDC 2009 last November would be a good place to start. I was right. One tip among the list of incredibly useful tips Yavor presented was “local variables are bad news for the Query Optimizer and they cause the Query Optimizer to guess”. What that means is you should be avoiding code like this in your stored procs even though it seems such an intuitively good idea. DECLARE @StartDate datetime SET @StartDate = '20091125' SELECT * FROM Orders WHERE OrderDate = @StartDate Instead you should be referencing the value directly in the WHERE clause so the Query Optimizer can create a better execution plan. SELECT * FROM Orders WHERE OrderDate = '20091125' My first thought about this one was we reference variables in the form of passed in parameters in WHERE clauses in many of our stored procs. Not to worry though because parameters ARE available to the Query Optimizer as it compiles the execution plan. I highly recommend checking out Yavor’s session for additional tips to help you squeeze every last drop of performance out of your queries. Have a day. :-|

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  • New database profiling support in ANTS Performance Profiler

    - by Ben Emmett
    In May last year, the ANTS Performance Profiler team added the ability to profile database requests your application makes to SQL Server or Oracle. The really cool thing is that you’re shown those requests in the application’s call tree, so you can see what .NET code caused those queries to run. It’s particularly helpful if you’re using an ORM which automagically generates and runs queries for you, but which doesn’t necessarily do it in the most efficient way possible. Now by popular demand, we’ve added support for profiling MySQL (or MariaDB) and PostgreSQL, so you can see queries run against those databases too. Some of you have also said that you’re using the Devart dotConnect data providers instead of the native .NET ones, so we’ve added support for those drivers too. Hope it helps! For the record, here’s a list of supported connectors (ones in bold are new): SQL Server .NET Framework Data Provider Devart dotConnect for SQL Server Oracle .NET Framework Data Provider Oracle Data Provider for .NET Devart dotConnect for Oracle MySQL / MariaDB MySQL Connector/Net Devart dotConnect for MySQL PostgreSQL Npgsql .NET Data Provider for PostgreSQL Devart dotConnect for PostgreSQL SQL Server Compact Edition .NET Framework Data Provider for SQL Server Compact Edition Devart dotConnect for SQL Server Pro Have we missed a connector or database which you’d find useful? Tell us about it in the comments or by emailing [email protected]. Ben

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  • Performance of concurrent software on multicore processors

    - by Giorgio
    Recently I have often read that, since the trend is to build processors with multiple cores, it will be increasingly important to have programming languages that support concurrent programming in order to better exploit the parallelism offered by these processors. In this respect, certain programming paradigms or models are considered well-suited for writing robust concurrent software: Functional programming languages, e.g. Haskell, Scala, etc. The actor model: Erlang, but also available for Scala / Java (Akka), C++ (Theron, Casablanca, ...), and other programming languages. My questions: What is the state of the art regarding the development of concurrent applications (e.g. using multi-threading) using the above languages / models? Is this area still being explored or are there well-established practices already? Will it be more complex to program applications with a higher level of concurrency, or is it just a matter of learning new paradigms and practices? How does the performance of highly concurrent software compare to the performance of more traditional software when executed on multiple core processors? For example, has anyone implemented a desktop application using C++ / Theron, or Java / Akka? Was there a boost in performance on a multiple core processor due to higher parallelism?

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  • Configuration Tips for better Performance with ADF Mobile Apps

    - by SRINI INDLA
    Some tips to keep in mind to make sure ADF Mobile application's performance is optimal: 1. Select release mode in deployment profile. This is perhaps the most important thing to remember to ensure best performance for ADF Mobile Apps. Selecting this option causes the deployer to package optimized JVM and minified JS libs with the mobile app there by significantly improving the over all performance of the application. 2. For iOS you do not need to do anything else other than selecting  release mode in deploy profile. However, on Android you have to create a keystore and configure it in JDev --> Tools --> Preferences --> ADF Mobile --> Platforms : Android as shown in the snapshot below 3. Steps for generating the Keystore for Android using keytool :  4. Logging level setting in logging.properties: Make sure the log level is set to SEVERE for both framework logger as well as the application logger as follows oracle.adfmf.framework.level=SEVERE oracle.adfmf.application.level=SEVERE 5. When using SOAP WebServices with WebService Data Control make sure you select the option to copy the WSDL. This will cause the JDev to download the WSDL and all the XSDs referenced by the WSDL from the server at design time and package them with the application during deployment. This way the application does not incur the cost of downloading these resources at run time from the device.

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  • Bad Performance With Games Under Wine in Ubuntu 12.04

    - by Pandem
    I'm somewhat new to Linux. I've dabbled with it before but never more than just experimentation in a VM or dual boot where I almost always reverted back to Windows soon after (more due to a lack of commitment than a dislike for the OS). Anyway my problem is that in the two games (Guild Wars and Team Fortress 2) I've tried so far I get fairly bad performance. Despite both games having a "Platinum" rating I've still been forced to run both in DirectX 8, otherwise they either crash, have texture defects or the UI is missing. By "bad performance" I mean sub-30 FPS where there are some players and regular large framerate drops with video settings on low. Currently in my mind I believe the performance issues are just a problem with the drivers because my graphics card is a AMD 7850 which is virtually brand new and probably not properly supported yet but I'm unsure and would appreciate advice or tips to improve things. I have Ubuntu 12.04 installed and I am usually logged in a Gnome Classic session. I have installed AMD's proprietary drivers (Catalyst version 12.4) and have Wine 1.4 installed. I have used Winetricks to install DX9/DX10 dlls and other things.

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  • Oracle ZFSSA Hybrid Storage Pool Demo

    - by Darius Zanganeh
    The ZFS Hybrid Storage Pool (HSP) has been around since the ZFSSA first launched.  It is one of the main contributors to the high performance we see on the Oracle ZFSSA both in benchmarks as well as many production environments.  Below is a short video I made to show at a high level just how impactful this HSP pool is on storage performance.  We squeeze a ton of performance out of our drives with our unique use of cache, write optimized ssd and read optimized ssd.  Many have written and blogged about this technology, here it is in action. Demo of the Oracle ZFSSA Hybrid Storage Pool and how it speeds up workloads.

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  • Enterprise Data Quality - New and Improved on Oracle Technology Network

    - by Mala Narasimharajan
    Looking for Enterprise Data Quality technical and developer resources on your projects? Wondering where the best place is to go for finding the latest documentations, downloads and even code samples and libraries?  Check out the new and improved Oracle Technical Network pages for Oracle Enterprise Data Quality.  This section features developer forums as well for EDQ and Master Data Management so that you can connect with other technical professionals who have submitted concerns or posted tips and tricks and learn from them.  Here are the links to bookmark:    Oracle Technology Network website * NEW *   Installation Guide for Enterprise Data Quality Address Verification  Enterprise Data Quality Forum For more information on Oracle's software offerings for data quality and master data management visit:  http://www.oracle.com/us/products/applications/master-data-management/index.html http://www.oracle.com/us/products/middleware/data-integration/enterprise-data-quality/overview/index.html   

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • Blank Cacti Graphs

    - by tortib
    I'm running Ubuntu 14.04 LTS and I'm having an issue with Cacti 0.8.8b not displaying any data in graphs. The graphs are being created and I see files in /var/lib/cacti/rra. My crontab entry for root is the following: */1 * * * * sudo -u www-data php -q /usr/share/cacti/site/poller.php > /dev/null The output of ls -la /var/lib/cacti/rra is the following: # ls -la /var/lib/cacti/rra/ total 1008 drwxrwx--- 2 www-data www-data 4096 Aug 20 19:27 . drwxr-xr-x 3 www-data www-data 4096 Aug 17 01:41 .. -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:23 tortib_com_cpu_nice_34.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:24 tortib_com_cpu_system_35.rrd -rw-rw-r-- 1 www-data www-data 47992 Aug 20 19:25 tortib_com_cpu_user_36.rrd -rw-r--r-- 1 www-data www-data 94816 Aug 20 19:27 tortib_com_hdd_used_43.rrd -rw-r--r-- 1 www-data www-data 94816 Aug 20 19:23 tortib_com_hdd_used_44.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:27 tortib_com_load_15min_38.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:26 tortib_com_load_1min_37.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:23 tortib_com_load_5min_39.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:24 tortib_com_mem_buffers_40.rrd -rw-rw-r-- 1 www-data www-data 47992 Aug 20 19:25 tortib_com_mem_cache_41.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:26 tortib_com_mem_free_42.rrd -rw-r--r-- 1 www-data www-data 94816 Aug 20 19:24 tortib_com_traffic_in_45.rrd -rw-rw-r-- 1 www-data www-data 94816 Aug 20 19:25 tortib_com_traffic_in_46.rrd -rw-r--r-- 1 www-data www-data 94816 Aug 20 19:26 tortib_com_traffic_in_47.rrd -rw-r--r-- 1 www-data www-data 47992 Aug 20 19:27 tortib_com_users_48.rrd I tried to run the poller as root from the command line but it doesn't output anything useful nor does it graph any data. The device in cacti shows that that it's able to query snmp and ping is alive. The graphs are still empty though. snmpwalk 127.0.0.1 -v2c -c public works as it should. It walks all MIBs. I'm quite perplexed as to why this isn't working any longer. It was graphing data but then it just stopped. And when it was graphing data it was graphing it intermittently. Thank you for reading this problem and helping.

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  • Saving game data to server [on hold]

    - by Eugene Lim
    What's the best method to save the player's data to the server? Method to store the game saves Which one of the following method should I use ? Using a database structure(e.g.. mySQL) to store the game data as blobs? Using the server hard disk to store the saved game data as binary data files? Method to send saved game data to server What method should I use ? socketIO web socket a web-based scripting language to receive the game data as binary? for example, a php script to handle binary data and save it to file Meta-data I read that some games store saved game meta-data in database structures. What kind of meta data is useful to store?

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  • "Optimal" game loop for 2D side-scroller

    - by MrDatabase
    Is it possible to describe an "optimal" (in terms of performance) layout for a 2D side-scroller's game loop? In this context the "game loop" takes user input, updates the states of game objects and draws the game objects. For example having a GameObject base class with a deep inheritance hierarchy could be good for maintenance... you can do something like the following: foreach(GameObject g in gameObjects) g.update(); However I think this approach can create performance issues. On the other hand all game objects' data and functions could be global. Which would be a maintenance headache but might be closer to an optimally performing game loop. Any thoughts? I'm interested in practical applications of near optimal game loop structure... even if I get a maintenance headache in exchange for great performance.

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  • Web services, J2EE, Spring, DB integration project ideas - maybe data mining related?

    - by saral jain
    I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, J2EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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  • Closing the Gap: 2012 IOUG Enterprise Data Security Survey

    - by Troy Kitch
    The new survey from the Independent Oracle Users Group (IOUG) titled "Closing the Security Gap: 2012 IOUG Enterprise Data Security Survey," uncovers some interesting trends in IT security among IOUG members and offers recommendations for securing data stored in enterprise databases. "Despite growing threats and enterprise data security risks, organizations that implement appropriate detective, preventive, and administrative safeguards are seeing significant results," finds the report's author, Joseph McKendrick, analyst, Unisphere Research. Produced by Unisphere Research and underwritten by Oracle, the report is based on responses from 350 IOUG members representing a variety of job roles, organization sizes, and industry verticals. Key findings include Corporate budgets increase, but trailing. Though corporate data security budgets are increasing this year, they still have room to grow to reach the previous year’s spending. Additionally, more than half of respondents say their organizations still do not have, or are unaware of, data security plans to help address contingencies as they arise. Danger of unauthorized access. Less than a third of respondents encrypt data that is either stored or in motion, and at the same time, more than three-fifths say they send actual copies of enterprise production data to other sites inside and outside the enterprise. Privileged user misuse. Only about a third of respondents say they are able to prevent privileged users from abusing data, and most do not have, or are not aware of, ways to prevent access to sensitive data using spreadsheets or other ad hoc tools. Lack of consistent auditing. A majority of respondents actively collect native database audits, but there has not been an appreciable increase in the implementation of automated tools for comprehensive auditing and reporting across databases in the enterprise. IOUG RecommendationsThe report's author finds that securing data requires not just the ability to monitor and detect suspicious activity, but also to prevent the activity in the first place. To achieve this comprehensive approach, the report recommends the following. Apply an enterprise-wide security strategy. Database security requires multiple layers of defense that include a combination of preventive, detective, and administrative data security controls. Get business buy-in and support. Data security only works if it is backed through executive support. The business needs to help determine what protection levels should be attached to data stored in enterprise databases. Provide training and education. Often, business users are not familiar with the risks associated with data security. Beyond IT solutions, what is needed is a well-engaged and knowledgeable organization to help make security a reality. Read the IOUG Data Security Survey Now.

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  • Video Presentation and Demo of Oracle Advanced Analytics & Data Mining

    - by Mike.Hallett(at)Oracle-BI&EPM
    For a video presentation and demonstration of Oracle Advanced Analytics & Data Mining  click here. (This plays a large MP4 file in a browser: access is from Google.docs, and this works best with Google CHROME). This one hour session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option along with Oracle R Enterprise and is tied to the Oracle SQL Developer Days virtual and onsite events and is presented by Oracle’s Director for Advanced Analytics, Charlie Berger, covering: Big Data + Big Data Analytics Competing on analytics & value proposition What is data mining? Typical use cases Oracle Data Mining high performance in-database SQL based data mining functions Exadata "smart scan" scoring Oracle Data Miner GUI (an Extension that ships with SQL Developer) Oracle Business Intelligence EE + Oracle Data Mining results/predictions in dashboards Applications "powered by Oracle Data Mining" for factory installed predictive analytics methodologies Oracle R Enterprise Please contact [email protected] should you have any questions. 

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  • New Feature in ODI 11.1.1.6: Enterprise Data Quality Integration

    - by Julien Testut
    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:10.0pt; mso-para-margin-left:0in; 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;} Oracle Data Integrator 11.1.1.6.0 introduces a new Open Tool called EnterpriseDataQuality which allows ODI users to invoke an Oracle Enterprise Data Quality Job from a Package. This post will give you an overview of this new feature. Oracle Enterprise Data Quality (OEDQ) provides organizations with an integrated suite of data quality tools that offer an end-to-end solution to measure, improve, and manage the quality of data from any domain, including customer and product data. The addition of the EnterpriseDataQuality Open Tool extends the inline Data Quality capabilities of Oracle Data Integrator with Oracle Enterprise Data Quality powerful data profiling, cleansing, matching, and monitoring capabilities. The EnterpriseDataQuality Open Tool can invoke any OEDQ Job stored in a Project. This Open Tool connects to an OEDQ server using a JMX (Java Management Extensions) interface. Once installed, this Open Tool will be found under Plugins in the Package Toolbox area: This EnterpriseDataQuality Open Tool takes a couple of parameters as inputs such as the Enterprise Data Quality Job and Project names, the OEDQ hostname and JMX port etc. With the EnterpriseDataQuality Open Tool, ODI customers can now incorporate their Oracle Enterprise Data Quality processes within their Data Integration workflows. You will find instructions about how to use the Enterprise Data Quality Open Tool in the Oracle Data Integrator documentation at: Using the EnterpriseDataQuality Open Tool.You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview.

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  • Web services, Java EE, Spring, DB integration project ideas - maybe data mining related?

    - by saral jain
    I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, Java EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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  • How to recover data from a drive that was erased during the Ubuntu installation?

    - by user110353
    Yesterday I had two NTFS partitions on my drive. One on which Windows 7 was installed (C Drive) and the other contained my data (D Drive). During Ubuntu installation I choose to install Ubuntu and erase my existing OS. When Ubuntu installed, I was shocked to see no partition. All my data was gone. I must have done something wrong in selecting my option during installation. Is there any way I can recover my D Drive? Thanks in advance.

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  • Move Data into the grid for scalable, predictable response times

    - by JuergenKress
    CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. It is still in its limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.ph , or send your questions to [email protected]. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: CloudTran,data grid,M,SOA Community,Oracle SOA,Oracle BPM,BPM,Community,OPN,Jürgen Kress

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  • Fusion CRM Data Integration and Migration from Conemis (D)

    - by Richard Lefebvre
    Conemis Data Integration Tools edited for Oracle Fusion CRM offers easy-to-use and pre-configured tools for data integration, data quality, and migration of data from Oracle CRM on Demand and third-party applications to Oracle Fusion CRM Conemis solution includes: Pressure Fueling of data for Fusion CRM Migration covered from legacy to Fusion CRM Data Quality in migration and integration Intuitive Data Housekeeping for IT and Sales Backups of Fusion CRM environments Conemis's solution benefits include Fusion CRM integrated out-of-the-box, connection to other applications, ready-made data mapping, instant availability without installation, fully configurable, shared use in integration expert groups, one GUI for several environments/pods, reduced costs & risks in migration projects, etc. Conemis AG, a German-based data integration company founded in 2009, offers Software and services solution and expertize for Oracle CRM products's data migration and integration. For more details, please contact Dr. Daniel Rolli ([email protected]) www.conemis.com.

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