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  • Another Custom Property Locator: a Library of Books

    - by Cindy McMullen
    Introduction The previous post gave an introduction to custom property locators and showed how create one using JDeveloper.  This post continues on the custom locator theme, with a slightly more complex locator: a library of books.  It demonstrates using the DAO pattern to delegate data access from the Locator, which is likely how many actual backing stores will integrate with the Locator.  You can imagine, rather than a library of books, the data store might be a user database of sorts.  The same sort of pattern would apply. This post uses the BookLocator example originally shown in the WebCenter documentation, but has: updated the source code to reflect the final Property APIs includes the steps for generating the namespace and property definition files via JDeveloper detailed usage of the PropertyService APIs Getting Started If you're new to JDeveloper, you might want to check out this tutorial.  There is also the "Jump-Start to using Personalization" blog post that you might find useful.  Otherwise, if you're already familiar with both, you can skip those tutorials and jump right in to using JDeveloper. Download the BookLocator.zip file (which has been updated from the original post) and unzip it to a new directory.  Start JDeveloper, navigate to the BookLocator.jws file, and open it.   It should look something like this: The Properties Namespace file contains the property definitions and property set definitions you define.  It is explained more in detail in the Namespace documentation.  Although this example doesn't show it, the property set definitions have the ability to reference multiple locators per property.   This can be done by right-clicking on the 'Locator Info' box.  Configure the contents of the Locator Map  by editing locators and mapping them to available property names in the property set definition. Compiling, deploying, and running your locator The rest of the steps in this tutorial basically follow those in the previous blog on custom locators, and won't be repeated here.   A scenario to invoke your locator is included with the sample app: see BookProperties.scenarios_diagram above.  Summary This post demonstrates a simple library of books accessed by the BookPropertyLocator via the DAO layer.  This is a useful pattern for more realistic property retrievals, such as a backing user store.  It also points out the possibility of retrieving properties from multiple locators, which would be quite handy to retrieve user attributes from multiple sources.

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  • Google I/O 2012 - Spatial Data Visualization

    Google I/O 2012 - Spatial Data Visualization Brendan Kenny, Enoch Lau Maps were among the first data visualizations, but they can also provide the backdrop for visualizing your own spatial data. In this session, we'll take a voyage through the world of map based data visualization, arming you with the tools you need to most effectively bring your data to life on a map using the Maps API v3. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1053 26 ratings Time: 01:00:17 More in Science & Technology

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  • Data Source Use of Oracle Edition Based Redefinition (EBR)

    - by Steve Felts
    Edition-based redefinition is a new feature in the 11gR2 release of the Oracle database. It enables you to upgrade the database component of an application while it is in use, thereby minimizing or eliminating down time. It works by allowing for a pre-upgrade and post-upgrade view of the data to exist at the same time, providing a hot upgrade capability. You can then specify which view you want for a particular session.  See the Oracle Database Advanced Application Developer's Guide for further information. There is also a good white paper at Edition Based Definition. Using this feature of the Oracle database does not require any new WebLogic Server functionality. It is set for each connection in the pool automatically by simply specifying SQL ALTER SESSION SET EDITION = edition_name in the Init SQL parameter in the data source configuration. This can be configured either via the console or via WLST (setInitSQL on the JDBCConnectionPoolParams). This SQL statement is executed for each newly created physical database connection.Note that we are assuming that a data source references only one edition of the database. To make use of this feature, you would have an earlier version of the application with a data source that references the earlier EDITION and a later version of the application with a data source that references the later EDITION.   Once you start talking about multiple versions of a WLS application, you should be using the WLS "side-by-side" or "versioned" deployment feature.  See Developing Applications for Production Redeployment for more information.  By combining Oracle database EBR and WLS versioned deployment, the application can be failed over with no downtime, making the combination of features more powerful than either independently. There is a catch - you need to be running with a versioned database and a versioned application initially so then you can switch versions.  The recommended way to version a WLS application is to simply add the "Weblogic-Application-Version" property in the MANIFEST.MF file(you can also specify it at deployment time). The recommended way to configure the data source is to use a packaged data source descriptor that's stored in the ear or war so that everything is self-contained.  There are some restrictions.  You can't use a packaged data source with Logging Last Resource (LLR) - you need to use a system resource.  You can't use an application-scoped packaged data source with EmulateTwoPhaseCommit for the global-transactions-protocol with a versioned application - use a global scope.  See Configuring JDBC Application Modules for Deployment for more details. There's one known problem - it doesn't work correctly with an XA data source (patch available with bug 14075837).

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  • OTN Virtual Technology Summit - July 9 - Middleware Track

    - by OTN ArchBeat
    The Architecture of Analytics: Big Time Big Data and Business Intelligence This four-session track, part of the free OTN Virtual Technology Summit on July 9, will present a solution architect's perspective on how business intelligence products in Oracle's Fusion Middleware family and beyond fit into an effective big data architecture, offering insight and expertise from Oracle ACE Directors and product team experts specializing in business Intelligence to help you meet your big data business intelligence challenges. Register now! Sessions Oracle Big Data Appliance Case Study: Using Big Data to Analyze Cancer-Genome Relationships Tom Plunkett, Lead Author of the Oracle Big Data Handbook What does it take to build an award winning Big Data solution? This presentation takes a deep technical dive into the use of the Oracle Big Data Appliance in a project for the National Cancer Institute's Frederick National Laboratory for Cancer Research. The Frederick National Laboratory and the Oracle team won several awards for analyzing relationships between genomes and cancer subtypes with big data, including the 2012 Government Big Data Solutions Award, the 2013 Excellence.Gov Finalist for Innovation, and the 2013 ComputerWorld Honors Laureate for Innovation. [30 mins] Getting Value from Big Data Variety Richard Tomlinson, Director, Product Management, Oracle Big data variety implies big data complexity. Performing analytics on diverse data typically involves mashing up structured, semi-structured and unstructured content. So how can we do this effectively to get real value? How do we relate diverse content so we can start to analyze it? This session looks at how we approach this tricky problem using Endeca Information Discovery. [30 mins] How To Leverage Your Investment In Oracle Business Intelligence Enterprise Edition Within a Big Data Architecture Oracle ACE Director Kevin McGinley More and more organizations are realizing the value Big Data technologies contribute to the return on investment in Analytics. But as an increasing variety of data types reside in different data stores, organizations are finding that a unified Analytics layer can help bridge the divide in modern data architectures. This session will examine how you can enable Oracle Business Intelligence Enterprise Edition (OBIEE) to play a role in a unified Analytics layer and the benefits and use cases for doing so. [30 mins] Oracle Data Integrator 12c As Your Big Data Data Integration Hub Oracle ACE Director Mark Rittman Oracle Data Integrator 12c (ODI12c), as well as being able to integrate and transform data from application and database data sources, also has the ability to load, transform and orchestrate data loads to and from Big Data sources. In this session, we'll look at ODI12c's ability to load data from Hadoop, Hive, NoSQL and file sources, transform that data using Hive and MapReduce processing across the Hadoop cluster, and then bulk-load that data into an Oracle Data Warehouse using Oracle Big Data Connectors. We will also look at how ODI12c enables ETL-offloading to a Hadoop cluster, with some tips and techniques on real-time capture into a Hadoop data reservoir and techniques and limitations when performing ETL on big data sources. [90 mins] Register now!

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  • How To Create Your Own Custom Google Search Engine

    - by Chris Hoffman
    Have you ever wanted to create a custom Google search engine that searches only specific websites? You can easily do this with Google’s Custom Search Engine tool. You can bookmark your search engine and even share it with other people. This trick works similarly to Google’s site: operator, but you won’t have to type the operator every time you search. It’s particularly useful if you want to search a large number of sites at once. How To Create a Customized Windows 7 Installation Disc With Integrated Updates How to Get Pro Features in Windows Home Versions with Third Party Tools HTG Explains: Is ReadyBoost Worth Using?

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  • Separating logic and data in browser game

    - by Tesserex
    I've been thinking this over for days and I'm still not sure what to do. I'm trying to refactor a combat system in PHP (...sorry.) Here's what exists so far: There are two (so far) types of entities that can participate in combat. Let's just call them players and NPCs. Their data is already written pretty well. When involved in combat, these entities are wrapped with another object in the DB called a Combatant, which gives them information about the particular fight. They can be involved in multiple combats at once. I'm trying to write the logic engine for combat by having combatants injected into it. I want to be able to mock everything for testing. In order to separate logic and data, I want to have two interfaces / base classes, one being ICombatantData and the other ICombatantLogic. The two implementers of data will be one for the real objects stored in the database, and the other for my mock objects. I'm now running into uncertainties with designing the logic side of things. I can have one implementer for each of players and NPCs, but then I have an issue. A combatant needs to be able to return the entity that it wraps. Should this getter method be part of logic or data? I feel strongly that it should be in data, because the logic part is used for executing combat, and won't be available if someone is just looking up information about an upcoming fight. But the data classes only separate mock from DB, not player from NPC. If I try having two child classes of the DB data implementer, one for each entity type, then how do I architect that while keeping my mocks in the loop? Do I need some third interface like IEntityProvider that I inject into the data classes? Also with some of the ideas I've been considering, I feel like I'll have to put checks in place to make sure you don't mismatch things, like making the logic for an NPC accidentally wrap the data for a player. Does that make any sense? Is that a situation that would even be possible if the architecture is correct, or would the right design prohibit that completely so I don't need to check for it? If someone could help me just layout a class diagram or something for this it would help me a lot. Thanks. edit Also useful to note, the mock data class doesn't really need the Entity, since I'll just be specifying all the parameters like combat stats directly instead. So maybe that will affect the correct design.

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  • I have data that sends in "bursts" of 100 records with a significant delay. How do I structure my classes for multithreading?

    - by makerofthings7
    My datasource sends information in 100 batches of 100 records with a delay of 1 to 3 seconds between batches. I would like to start processing data as soon as it's received, but I'm not sure how to best approach this. Some ideas I've been playing with include: yield Concurrent Dictionary ConcurrentDictionary with INotifyProperyChanged Events etc. As you can see I'm all over the place, and would appreciate some tested guidance on how to approach this

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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  • Redirecting from blogger to custom domain [closed]

    - by mdhar9e
    Possible Duplicate: How to have a blogspot blog in my domain? i have a blog from blogger named as www.myclipta.blogspot.com. i am updating regulary. Then i bought a custom domain with myclipta.com. Now i want to redirect from blogger domain to my custom domain. i don't know how to do this . i heard that to set dns name servers and CNAME..But i am not able to do this.. can any one can guide me please..

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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