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• Why no developer API in C++ for Google or Yahoo mail?

  - by Fanatic23

  I was trying to do some C++ coding that can send files from my laptop to my webmail account. It took me about 10 minutes to realize that there is no easy way to do this. Look into these links: GMAIL: http://code.google.com/apis/gmail/oauth/code.html YAHOO: http://developer.yahoo.com/mail/ I am trying to understand why PHP or Python or Java support exist but no C++. No flame wars, I love all programming languages and their creators equally but I am curious to understand the logic behind such implementation choices.

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• Content Encryption Options in Oracle IRM 11g

  - by martin.abrahams

  Another of the innovations in Oracle IRM 11g is a wider choice of encryption algorithms for protecting content. The choice is now as illustrated below. As you see, three of the choices are marked as FIPS options, where FIPS refers to the Federal Information Processing Standard Publication 140-2, a U.S. government security standard for accreditation of cryptographic modules.

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• Should you buy an ATI Radeon x1200 driver?

  If you are looking for a good graphics driver, the choices available to you will boggle your mind. Advanced Micro Devices (AMD) has joined up with ATI Technologies to make the most cutting edge graph... [Author: Sunny Makkar - Computers and Internet - March 20, 2010]

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• YouTube + You

  YouTube is an extremely team-oriented, creative workplace where every single employee has a voice in the choices we make and the features we implement. We work together in...

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• The Data Scientist

  - by BuckWoody

  A new term - well, perhaps not that new - has come up and I’m actually very excited about it. The term is Data Scientist, and since it’s new, it’s fairly undefined. I’ll explain what I think it means, and why I’m excited about it. In general, I’ve found the term deals at its most basic with analyzing data. Of course, we all do that, and the term itself in that definition is redundant. There is no science that I know of that does not work with analyzing lots of data. But the term seems to refer to more than the common practices of looking at data visually, putting it in a spreadsheet or report, or even using simple coding to examine data sets. The term Data Scientist (as far as I can make out this early in it’s use) is someone who has a strong understanding of data sources, relevance (statistical and otherwise) and processing methods as well as front-end displays of large sets of complicated data. Some - but not all - Business Intelligence professionals have these skills. In other cases, senior developers, database architects or others fill these needs, but in my experience, many lack the strong mathematical skills needed to make these choices properly. I’ve divided the knowledge base for someone that would wear this title into three large segments. It remains to be seen if a given Data Scientist would be responsible for knowing all these areas or would specialize. There are pretty high requirements on the math side, specifically in graduate-degree level statistics, but in my experience a company will only have a few of these folks, so they are expected to know quite a bit in each of these areas. Persistence The first area is finding, cleaning and storing the data. In some cases, no cleaning is done prior to storage - it’s just identified and the cleansing is done in a later step. This area is where the professional would be able to tell if a particular data set should be stored in a Relational Database Management System (RDBMS), across a set of key/value pair storage (NoSQL) or in a file system like HDFS (part of the Hadoop landscape) or other methods. Or do you examine the stream of data without storing it in another system at all? This is an important decision - it’s a foundation choice that deals not only with a lot of expense of purchasing systems or even using Cloud Computing (PaaS, SaaS or IaaS) to source it, but also the skillsets and other resources needed to care and feed the system for a long time. The Data Scientist sets something into motion that will probably outlast his or her career at a company or organization. Often these choices are made by senior developers, database administrators or architects in a company. But sometimes each of these has a certain bias towards making a decision one way or another. The Data Scientist would examine these choices in light of the data itself, starting perhaps even before the business requirements are created. The business may not even be aware of all the strategic and tactical data sources that they have access to. Processing Once the decision is made to store the data, the next set of decisions are based around how to process the data. An RDBMS scales well to a certain level, and provides a high degree of ACID compliance as well as offering a well-known set-based language to work with this data. In other cases, scale should be spread among multiple nodes (as in the case of Hadoop landscapes or NoSQL offerings) or even across a Cloud provider like Windows Azure Table Storage. In fact, in many cases - most of the ones I’m dealing with lately - the data should be split among multiple types of processing environments. This is a newer idea. Many data professionals simply pick a methodology (RDBMS with Star Schemas, NoSQL, etc.) and put all data there, regardless of its shape, processing needs and so on. A Data Scientist is familiar not only with the various processing methods, but how they work, so that they can choose the right one for a given need. This is a huge time commitment, hence the need for a dedicated title like this one. Presentation This is where the need for a Data Scientist is most often already being filled, sometimes with more or less success. The latest Business Intelligence systems are quite good at allowing you to create amazing graphics - but it’s the data behind the graphics that are the most important component of truly effective displays. This is where the mathematics requirement of the Data Scientist title is the most unforgiving. In fact, someone without a good foundation in statistics is not a good candidate for creating reports. Even a basic level of statistics can be dangerous. Anyone who works in analyzing data will tell you that there are multiple errors possible when data just seems right - and basic statistics bears out that you’re on the right track - that are only solvable when you understanding why the statistical formula works the way it does. And there are lots of ways of presenting data. Sometimes all you need is a “yes” or “no” answer that can only come after heavy analysis work. In that case, a simple e-mail might be all the reporting you need. In others, complex relationships and multiple components require a deep understanding of the various graphical methods of presenting data. Knowing which kind of chart, color, graphic or shape conveys a particular datum best is essential knowledge for the Data Scientist. Why I’m excited I love this area of study. I like math, stats, and computing technologies, but it goes beyond that. I love what data can do - how it can help an organization. I’ve been fortunate enough in my professional career these past two decades to work with lots of folks who perform this role at companies from aerospace to medical firms, from manufacturing to retail. Interestingly, the size of the company really isn’t germane here. I worked with one very small bio-tech (cryogenics) company that worked deeply with analysis of complex interrelated data. So  watch this space. No, I’m not leaving Azure or distributed computing or Microsoft. In fact, I think I’m perfectly situated to investigate this role further. We have a huge set of tools, from RDBMS to Hadoop to allow me to explore. And I’m happy to share what I learn along the way.

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• System Variables, Stored Procedures or Functions for Meta Data

  - by BuckWoody

  Whenever you want to know something about SQL Server’s configuration, whether that’s the Instance itself or a database, you have a few options. If you want to know “dynamic” data, such as how much memory or CPU is consumed or what a particular query is doing, you should be using the Dynamic Management Views (DMVs) that you can read about here: http://msdn.microsoft.com/en-us/library/ms188754.aspx  But if you’re looking for how much memory is installed on the server, the version of the Instance, the drive letters of the backups and so on, you have other choices. The first of these are system variables. You access these with a SELECT statement, and they are useful when you need a discrete value for use, say in another query or to put into a table. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms173823.aspx You also have a few stored procedures you can use. These often bring back a lot more data, pre-formatted for the screen. You access these with the EXECUTE syntax. It is a bit more difficult to take the data they return and get a single value or place the results in another table, but it is possible. You can read more about those here: http://msdn.microsoft.com/en-us/library/ms187961.aspx Yet another option is to use a system function, which you access with a SELECT statement, which also brings back a discrete value that you can use in a test or to place in another table. You can read about those here: http://msdn.microsoft.com/en-us/library/ms187812.aspx  By the way, many of these constructs simply query from tables in the master or msdb databases for the Instance or the system tables in a user database. You can get much of the information there as well, and there are even system views in each database to show you the meta-data dealing with structure – more on that here: http://msdn.microsoft.com/en-us/library/ms186778.aspx  Some of these choices are the only way to get at a certain piece of data. But others overlap – you can use one or the other, they both come back with the same data. So, like many Microsoft products, you have multiple ways to do the same thing. And that’s OK – just research what each is used for and how it’s intended to be used, and you’ll be able to select (pun intended) the right choice. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• T-SQL Tuesday #13: Clarifying Requirements

  - by Alexander Kuznetsov

  When we transform initial ideas into clear requirements for databases, we typically have to make the following choices: Frequent maintenance vs doing it once. As we are clarifying the requirements, we need to determine whether we want to concinue spending considerable time maintaining the system, or if we want to finish it up and move on to other tasks. Race car maintenance vs installing electric wiring is my favorite analogy for this kind of choice. In some cases we need to sqeeze every last bit...(read more)

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• Final Notes from the ODF Plugfest in Granada

  <b>Zona-M:</b> "A representative of the Spanish Ministry of Presidency, Miguel Angel Amutio Gomez, started the day explaining the crucial points of the Spanish law 11/2007: the right for everybody to use whatever digital technology they like best and the obligation for all Public Administrations to avoid discrimination of citizens based on their technological choices."

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• Creating metadata value relationships

  - by kyle.hatlestad

  I was recently asked an question about an interesting use case. They wanted content to be submitted into UCM with a particular ID in a custom metadata field. But they wanted that ID to be translated during submission into an employee name in another metadata field upon submission. My initial thought was that this could be done with a dependent choice list (DCL). One option list field driving the choices in another. But this didn't work in this case for a couple of reasons. First, the number of IDs could potentially be very large. So making that into a drop-down list would not be practical. The preference would be for that field to simply be a text field to type in the ID. Secondly, data could be submitted through different methods other then the web-based check-in form. And without an interface to select the DCL choices, the system needed a way to determine and populate the name field. So instead I went the approach of having the value of the ID field drive the value of the Name field using the derived field approach in my rule. In looking at it though, it was easy to simply copy the value of the ID field into the Name field...but to have it look up and translate the value proved to be the tricky part. So here is the approach I took... First I created my two metadata fields as standard text fields in the Configuration Manager applet. Next I create a table that stores the relationship between the IDs and Names. I then create a View into that table and set the column to the EmployeeID. I now create a new Application Field and set it as an option list using the View I created in the previous step. The reason I create it as an Application field is because I don't need to display the field or store a value in it. I simply need to make use of the option list in the next step... Finally, I create a Rule in which I select the Employee Name field and turn on the 'Is derived field' checkbox. I edit the derived value and add a new condition. Because the option list is a Application field and not an Information field, I can't use the Compute button. Instead, I insert this line directly in the Value field: @getFieldViewValue("EmployeeMapping",#active.xEmployeeID, "EmployeeName") The "EmployeeMapping" parameter designates that the value should be pulled from the EmployeeMapping Application field that I had created in the previous step. The #active.xEmployeeID field is the ID value that should be pulled from what the user entered. "EmployeeName" is the column name in the table which has the value which corresponds to the ID. The extracted name then becomes the value within our Employee Name field. That's it. You can then add additional Rules to make the Name field read-only/hidden on the check-in page and such.

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• Rise Above the Thousands Results

  Choosing among hundreds or thousands of choices would be a challenge especially if you do not have exact preferences on what to choose. If you will put yourself into the shoes of an internet or an online researcher, you will find out that one word or phrase that you enter in the search box field of a search engine and it could provide you hundreds or even thousands of results. And if I am the researcher, I do not think that I would bother to look for those in the sixth or onward pages of results.

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• Does learning to develop for iOS create a lock-in?

  - by Jungle Hunter

  If I begin my career (first job) with developing on the iOS platform, does that lock me in into iOS and Mac OS X development only? By locking me in I mean will that create barriers for me to switch technologies as I would be mainly working with Objective-C. If yes, does that make my career choices limited? I'm interested in comparing this with Android development, which if pursued will leave me with Java skills (correct me if I'm wrong) which I can use elsewhere.

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• Kscope 2014 Preview: Oracle's Mobile Platform - Shay Shmeltzer

  - by OTN ArchBeat

  "There's no question anymore that you need to do mobile development," says Oracle Development Tools Director of Product Management Shay Shmeltzer, "but most people are trying the figure out the right architecture." Shay talks about the choices and about Oracle's mobile development platform in this interview, a preview of his three presentations at ODTUG Kscope, June 22-26, 2014 in Seattle, WA. Connect with Shay Shmeltzer

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• Tips on ensuring Model Quality

  - by [email protected]

  Given enough data that represents well the domain and models that reflect exactly the decision being optimized, models usually provide good predictions that ensure lift. Nevertheless, sometimes the modeling situation is less than ideal. In this blog entry we explore the problems found in a few such situations and how to avoid them.1 - The Model does not reflect the problem you are trying to solveFor example, you may be trying to solve the problem: "What product should I recommend to this customer" but your model learns on the problem: "Given that a customer has acquired our products, what is the likelihood for each product". In this case the model you built may be too far of a proxy for the problem you are really trying to solve. What you could do in this case is try to build a model based on the result from recommendations of products to customers. If there is not enough data from actual recommendations, you could use a hybrid approach in which you would use the [bad] proxy model until the recommendation model converges.2 - Data is not predictive enoughIf the inputs are not correlated with the output then the models may be unable to provide good predictions. For example, if the input is the phase of the moon and the weather and the output is what car did the customer buy, there may be no correlations found. In this case you should see a low quality model.The solution in this case is to include more relevant inputs.3 - Not enough cases seenIf the data learned does not include enough cases, at least 200 positive examples for each output, then the quality of recommendations may be low. The obvious solution is to include more data records. If this is not possible, then it may be possible to build a model based on the characteristics of the output choices rather than the choices themselves. For example, instead of using products as output, use the product category, price and brand name, and then combine these models.4 - Output leaking into input giving the false impression of good quality modelsIf the input data in the training includes values that have changed or are available only because the output happened, then you will find some strong correlations between the input and the output, but these strong correlations do not reflect the data that you will have available at decision (prediction) time. For example, if you are building a model to predict whether a web site visitor will succeed in registering, and the input includes the variable DaysSinceRegistration, and you learn when this variable has already been set, you will probably see a big correlation between having a Zero (or one) in this variable and the fact that registration was successful.The solution is to remove these variables from the input or make sure they reflect the value as of the time of decision and not after the result is known. 

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• Threading Overview

  - by ACShorten

  One of the major features of the batch framework is the ability to support multi-threading. The multi-threading support allows a site to increase throughput on an individual batch job by splitting the total workload across multiple individual threads. This means each thread has fine level control over a segment of the total data volume at any time. The idea behind the threading is based upon the notion that "many hands make light work". Each thread takes a segment of data in parallel and operates on that smaller set. The object identifier allocation algorithm built into the product randomly assigns keys to help ensure an even distribution of the numbers of records across the threads and to minimize resource and lock contention. The best way to visualize the concept of threading is to use a "pie" analogy. Imagine the total workset for a batch job is a "pie". If you split that pie into equal sized segments, each segment would represent an individual thread. The concept of threading has advantages and disadvantages: Smaller elapsed runtimes - Jobs that are multi-threaded finish earlier than jobs that are single threaded. With smaller amounts of work to do, jobs with threading will finish earlier. Note: The elapsed runtime of the threads is rarely proportional to the number of threads executed. Even though contention is minimized, some contention does exist for resources which can adversely affect runtime. Threads can be managed individually – Each thread can be started individually and can also be restarted individually in case of failure. If you need to rerun thread X then that is the only thread that needs to be resubmitted. Threading can be somewhat dynamic – The number of threads that are run on any instance can be varied as the thread number and thread limit are parameters passed to the job at runtime. They can also be configured using the configuration files outlined in this document and the relevant manuals.Note: Threading is not dynamic after the job has been submitted Failure risk due to data issues with threading is reduced – As mentioned earlier individual threads can be restarted in case of failure. This limits the risk to the total job if there is a data issue with a particular thread or a group of threads. Number of threads is not infinite – As with any resource there is a theoretical limit. While the thread limit can be up to 1000 threads, the number of threads you can physically execute will be limited by the CPU and IO resources available to the job at execution time. Theoretically with the objects identifiers evenly spread across the threads the elapsed runtime for the threads should all be the same. In other words, when executing in multiple threads theoretically all the threads should finish at the same time. Whilst this is possible, it is also possible that individual threads may take longer than other threads for the following reasons: Workloads within the threads are not always the same - Whilst each thread is operating on the roughly the same amounts of objects, the amount of processing for each object is not always the same. For example, an account may have a more complex rate which requires more processing or a meter has a complex amount of configuration to process. If a thread has a higher proportion of objects with complex processing it will take longer than a thread with simple processing. The amount of processing is dependent on the configuration of the individual data for the job. Data may be skewed – Even though the object identifier generation algorithm attempts to spread the object identifiers across threads there are some jobs that use additional factors to select records for processing. If any of those factors exhibit any data skew then certain threads may finish later. For example, if more accounts are allocated to a particular part of a schedule then threads in that schedule may finish later than other threads executed. Threading is important to the success of individual jobs. For more guidelines and techniques for optimizing threading refer to Multi-Threading Guidelines in the Batch Best Practices for Oracle Utilities Application Framework based products (Doc Id: 836362.1) whitepaper available from My Oracle Support

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• A One-Size Fits-All Solution For An Enterprise E-Commerce Solution

  Today enterprises have different models to choose from when it comes to implementing e-commerce solutions. The choices vary from a buy model, a build model, a hosted build model or an SaaS model, bet... [Author: Philippe Bodart - Computers and Internet - April 04, 2010]

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• Why Games Don't Get Ported to Linux - A Game Dev Speaks

  <b>Blog of Helios:</b> "But to quote Yoda, "Short of native game choices we are." There's a reason for that...I mean aside from the myth that the Linux market is too small to support game development."

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• Using Third-Party 802.1X Clients on Windows, Linux or Mac

  If your operating system's native 802.1X client doesn't work with your gear, or if you need additional features, you've got a few choices for your Windows, Linux or Mac clients.

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• Using Third-Party 802.1X Clients on Windows, Linux or Mac

  If your operating system's native 802.1X client doesn't work with your gear, or if you need additional features, you've got a few choices for your Windows, Linux or Mac clients.

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• How to change resolution to 1920 x 1080?

  - by jacknad

  The display looks a bit stretched and there is a system pop-up that says something like "Resolution Notice: for best quality change resolution to 1920 x 1080" but in Monitor Preferences the only choices in the Resolution drop-down are 1600 x 1200 (the current setting), 1280 x 1024, and less (which all look worse). The monitor preferences calls the Monitor "unknown," the monitor is a ViewSonic VX2450WM, and the PC is an HP p7-1120.

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• More Free Apps Bound for the Marketplace

  - by Scott Kuhl

  Microsoft has announced they are raising the limit of free applications a developer can submit from 5 to 100.  But what does that really mean? First, lets look at the reason for the limitation.  The iTunes Store and the Android Market both have a lot more applications available than the Windows Phone Marketplace.  But that says nothing about the quality of those applications.  I attended a couple of pre-launch events and Microsoft representatives were clearly told to send a message. We don’t want a bunch of junky applications that do nothing but spam the marketplace.  That was the reason for the 5 free application limit. Okay, so now what has the result been?  Well, there are still fart apps, but there is no sign of a developer flooding the marking with 1500 wallpaper applications or 1000 of the same application all pointed at different RSS feeds.   On the other hand there are developers who want to release real free apps but are constrained by the 5 app limit. So why did Microsoft change it’s mind?  Is it to get the count of applications up, or is to make developers happy?  Windows Phone Marketplace is growing fast but it’s a long way behind the other guys.   I don’t think Microsoft wants to have 100,000 apps show up in the next 3 months if they are loaded with copy cat apps.  Those numbers will get picked apart quickly and the press will start complaining about  the same problems the Android Market has.  I do think the bump was at developer request.  Microsoft is usually good about listening to developer feedback, but has been pretty slow about it at times.  And from a financial perspective, there will me more apps that Microsoft has to review that they will see no profit on.  At least not until they bake in a advertising model connected to Bing. Ultimately, what does this mean for the future? Well, there are developers out there looking to release more than 5 simple free apps, so I think we will see more hobby apps.  And there are developers out there trying to make money from advertising instead of sales, so I think we will see more of those also.  But the category that I think will grow the fastest is free versions of paid applications that are the same as the trial version of the application.  While technically that makes no sense, its purely a marketing move.  Free apps get downloaded a lot more than paid apps, even with a trial mode.  It always surprises me how little consumers are willing to spend on mobile apps.  How many reviews of applications have you seen that says something like “a bit pricey at $1.99”.  Really?  Have you looked at how much you spend on your phone and plan?  I always thought the trial mode baked into Windows Marketplace was a good idea.  So I’m not sure how the more open free market will play out. In the long run though, I won’t be surprised to see a Bing ad mobile ad model show up so Microsoft can capitalize on the more open and free Windows Marketplace. Bonus: The Oatmeal on How I Feel About Buying Apps

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• Running Open Source Servers Within Windows

  If you run a Windows shop, you may think Apache, FreeRADIUS and FreeNAS are off limits. Think again. With a few simple choices, any of these popular open source servers can be deployed in a snap.

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• News From the Green Data Center Management Front

  Increasingly, enterprises are making data center management choices that lead to a environmentally friendly company. Here are some recent green IT developments.

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• 5 cool Linux audio editors worth knowing

  <b>Ghabuntu:</b> "One good thing about using Linux is the amount of choices one has when it comes to the use of any application. If you are a music lover, the following 5 music/audio editors are worthy of note"

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• Webcast Q&A: ResCare Solves Content Lifecycle Challenges with Oracle WebCenter

  - by Kellsey Ruppel

  Last week we had the fourth webcast in our WebCenter in Action webcast series, "ResCare Solves Content Lifecycle Challenges with Oracle WebCenter", where customer Joe Lichtefeld from ResCare and Wayne Boerger & Doug Thompson from Oracle Partner TEAM Informatics shared how Oracle WebCenter is powering allowing ResCare to solve content lifecycle challenges, reduce compliance and business risks, and increase adoption of intranet as primary business communication tool In case you missed it, here's a recap of the Q&A.   Joe Lichtefeld, ResCare  Q: Did you run into any issues in the deployment of the platform?A: We experienced very few issues when implementing the content management and search functionalities. There were some challenges in determining the metadata structure. We tried to find a fine balance between having enough fields to provide the functionality needed, but trying to limit the impact to the contributing members.  Q: What has been the biggest benefit your end users have seen?A: The biggest benefit to date is two-fold. Content on the intranet can be maintained by the individual contributors more timely than in our old process of all requests being updated by IT. The other big benefit is the ability to find the most current version of a document instead of relying on emails and phone calls to track down the "current" version. Q: Was there any resistance internally when implementing the solution? If so, how did you overcome that?A: We experienced very little resistance. Most of our community groups were eager to be able to contribute and maintain their information. We had the normal hurdles of training and follow-up training with implementing a new system and process. As our second phase rolled out access to all employees, we have received more positive feedback on the accessibility of information. Wayne Boerger & Doug Thompson, TEAM Informatics Q: Can you integrate multiple repositories with the Google Search Appliance? Yes, the Google Search Appliance is designed to index lots of different repositories, from both public and internal sources. There are included connectors to many repositories, such as SharePoint, databases, file systems, LDAP, and with the TEAM GSA Connector and the Oracle Content Server. And the index for these repositories can be configured into different collections depending on the use cases that each customer has, and really, for each need within a customer environment. Q: How many different filters can you add when the search results are returned? A: Presuming this question is about the filtering on the search results. You can add as many filters as you like and it can be done by collection or any number of other criteria. Most importantly, customers now have the ability to limit the returned content by a set metadata value. Q: With the TEAM Sites Connector, what types of content can you sync? A: There’s really no limit; if it can be checked into the content server, then it is eligible for sync into Sites.  So basically, any digital file that has relevance to a Sites implementation can be checked into the WC Content central repository and then the connector can/will manage it. Q: Using the Connector, are there any limitations around where in Sites that synced content can be used? A: There are no limitations about where it can be used. When setting up your environment to use it, you just need to think through the different destinations on the Sites side that might use the content; that way you’ve got the right information to create the rules needed for the connector. If you missed the webcast, be sure to catch the replay to see a live demonstration of WebCenter in action!  ResCare Solves Content Lifecycle Challenges with Oracle WebCenter from Oracle WebCenter

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• BI Applications overview

  - by sv744

  Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

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