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  • Hogyan konfiguráljunk egy Oracle BI cluster rendszert Sun hardver környezetben

    - by Fekete Zoltán
    A következo Deploying Oracle® Business Intelligence Enterprise Edition on Oracle's Sun Systems white paper részletesen leírja, hogyan állítsunk össze egy Oracle BI klasztert. Ezzel a klaszter környezettel elérheto: - nagy rendelkezésre állás, az egyik szerver meghibásodásakor is muködik tovább a rendszer - terhelésmegosztás a BI szerverek között, aktív-aktív szereppel A dokumentum kitér mind a hardver mind a szoftver komponensek architektúrájára és konfigurálására, még az installálásra is: - hardver komponensek kapcsolatára: a két Oracle Business intelligence Sun SPARC Enterprise szerver, a switch, a Sun Unified Storage,... - szoftver komponensek: Oracle BI EE, WebLogic Server, Oracle Directory Server, Oracle Database, Oracle VM Server for SPARC, stb. Deploying Oracle® Business Intelligence Enterprise Edition on Oracle's Sun Systems

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  • Tellago && Tellago Studios 2010

    - by gsusx
    With 2011 around the corner we, at Tellago and Tellago Studios , we have been spending a lot of times evaluating our successes and failures (yes those too ;)) of 2010 and delineating some of our goals and strategies for 2011. When I look at 2010 here are some of the things that quickly jump off the page: Growing Tellago by 300% Launching a brand new company: Tellago Studios Expanding our customer base Establishing our business intelligence practice http://tellago.com/what-we-say/events/business-intelligence...(read more)

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  • Discoverer 11g (11.1.1.2) Certified with E-Business Suite

    - by Steven Chan
    Discoverer is an ad-hoc query, reporting, analysis, and Web-publishing tool that allows end-users to work directly with Oracle E-Business Suite OLTP data.Discoverer 11g (11.1.1.2) is now certified with Oracle E-Business Suite Release 11i and 12.The latest release of Oracle Business Intelligence Discoverer 11g offers new functionality, including integration with Oracle Business Intelligence Enterprise Edition (OBIEE), published Discoverer Webservice APIs, integration with Oracle WebCenter, integration with Oracle WebLogic Server, integration with Enterprise Manager (Fusion Middleware Control) and improved performance and scalability.

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  • Policy Implementation is Damaging Organizations: Economist Intelligence Unit

    - by michael.seback
    Read new research revealing the hidden risks of inefficient policy implementation The frenetic pace of regulatory and legislative change means public and private sector organizations must continuously update internal policies - in particular, as associated with decision making and disbursements. Yet with policy management efforts alarmingly under-resourced and under-funded, the risk and cost of non-compliance - and their associated implications - are growing daily. To find out how inefficient policy management could be putting your business at risk, read your complimentary copy of the full EIU paper - Enabling Efficient Policy Implementation - today.

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  • Microsoft Business Intelligence Seminar 2011

    - by DavidWimbush
    I was lucky enough to attend the maiden presentation of this at Microsoft Reading yesterday. It was pretty gripping stuff not only because of what was said but also because of what could only be hinted at. Here's what I took away from the day. (Disclaimer: I'm not a BI guru, just a reasonably experienced BI developer, so I may have misunderstood or misinterpreted a few things. Particularly when so much of the talk was about the vision and subtle hints of what is coming. Please comment if you think I've got anything wrong. I'm also not going to even try to cover Master Data Services as I struggled to imagine how you would actually use it.) I was a bit worried when I learned that the whole day was going to be presented by one guy but Rafal Lukawiecki is a very engaging speaker. He's going to be presenting this about 20 times around the world over the coming months. If you get a chance to hear him speak, I say go for it. No doubt some of the hints will become clearer as Denali gets closer to RTM. Firstly, things are definitely happening in the SQL Server Reporting and BI world. Traditionally IT would build a data warehouse, then cubes on top of that, and then publish them in a structured and controlled way. But, just as with many IT projects in general, by the time it's finished the business has moved on and the system no longer meets their requirements. This not sustainable and something more agile is needed but there has to be some control. Apparently we're going to be hearing the catchphrase 'Balancing agility with control' a lot. More users want more access to more data. Can they define what they want? Of course not, but they'll recognise it when they see it. It's estimated that only 28% of potential BI users have meaningful access to the data they need, so there is a real pent-up demand. The answer looks like: give them some self-service tools so they can experiment and see what works, and then IT can help to support the results. It's estimated that 32% of Excel users are comfortable with its analysis tools such as pivot tables. It's the power user's preferred tool. Why fight it? That's why PowerPivot is an Excel add-in and that's why they released a Data Mining add-in for it as well. It does appear that the strategy is going to be to use Reporting Services (in SharePoint mode), PowerPivot, and possibly something new (smiles and hints but no details) to create reports and explore data. Everything will be published and managed in SharePoint which gives users the ability to mash-up, share and socialise what they've found out. SharePoint also gives IT tools to understand what people are looking at and where to concentrate effort. If PowerPivot report X becomes widely used, it's time to check that it shows what they think it does and perhaps get it a bit more under central control. There was more SharePoint detail that went slightly over my head regarding where Excel Services and Excel Web Application fit in, the differences between them, and the suggestion that it is likely they will one day become one (but not in the immediate future). That basic pattern is set to be expanded upon by further exploiting Vertipaq (the columnar indexing engine that enables PowerPivot to store and process a lot of data fast and in a small memory footprint) to provide scalability 'from the desktop to the data centre', and some yet to be detailed advances in 'frictionless deployment' (part of which is about making the difference between local and the cloud pretty much irrelevant). Excel looks like becoming Microsoft's primary BI client. It already has: the ability to consume cubes strong visualisation tools slicers (which are part of Excel not PowerPivot) a data mining add-in PowerPivot A major hurdle for self-service BI is presenting the data in a consumable format. You can't just give users PowerPivot and a server with a copy of the OLTP database(s). Building cubes is labour intensive and doesn't always give the user what they need. This is where the BI Semantic Model (BISM) comes in. I gather it's a layer of metadata you define that can combine multiple data sources (and types of data source) into a clear 'interface' that users can work with. It comes with a new query language called DAX. SSAS cubes are unlikely to go away overnight because, with their pre-calculated results, they are still the most efficient way to work with really big data sets. A few other random titbits that came up: Reporting Services is going to get some good new stuff in Denali. Keep an eye on www.projectbotticelli.com for the slides. You can also view last year's seminar sessions which covered a lot of the same ground as far as the overall strategy is concerned. They plan to add more material as Denali's features are publicly exposed. Check out the PASS keynote address for a showing of Yahoo's SQL BI servers. Apparently they wheeled the rack out on stage still plugged in and running! Check out the Excel 2010 Data Mining Add-Ins. 32 bit only at present but 64 bit is on the way. There are lots of data sets, many of them free, at the Windows Azure Marketplace Data Market (where you can also get ESRI shape files). If you haven't already seen it, have a look at the Silverlight Pivot Viewer (http://weblogs.asp.net/scottgu/archive/2010/06/29/silverlight-pivotviewer-now-available.aspx). The Bing Maps Data Connector is worth a look if you're into spatial stuff (http://www.bing.com/community/site_blogs/b/maps/archive/2010/07/13/data-connector-sql-server-2008-spatial-amp-bing-maps.aspx).  

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  • Artificial Intelligence implemented in x86 Assembly? [closed]

    - by Bigyellow Bastion
    Okay, so I decided that for my upcoming operating system, I do basically everything in x86 Assembly, using only 16-bit mode. I will need to write the software to host on it once I have something up and going, and I'll definitely post the source and VM-executable file. But as for now I'm stuck with the idea of implementing the AI code for some of the games I'm making to host on it. AI in Assembly is tedious, and sometimes almost impossible seeming, especially complex AI(I'm talking SNES Super Mario World 2: Yoshi's Island AI here, by the way, not pong AI). I was thinking that it'd be such a hassle that I'd have to bring a higher-level language to work some of this out here, like maybe C++ or C#, but I'd have to go through more work linking it into a fine binary that my OS will host, and that adds unnecessary work to the table I wanted to avoid(I don't want a complex system, I want everything as bare-bones as possible, avoiding libraries, APIs, and linkable formats for now, to make everything more directly accessible to the kernel's API).

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  • Pro SharePoint 2010 Business Intelligence Solutions

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). Oh yeah baby, it’s out finally! This book is what I wanted to write for so long now, but never really got a chance to. For SharePoint 2007, I authored the SharePoint section of “Smart BI Solutions with SQL Server 2008” for MS Press. But never really got the time, to author a full book that this topic deserved. Until SharePoint 2010, we actually have a full book on this topic. So first things first, I didn’t actually write it. My role was limited to the overall concept, the outline, the layout, completion of it, code samples, identifying what we need in here, vouching for technical accuracy, identifying authors etc. The real work was done by Srini (5 chapters), and Steve (1 chapter). So credit given where it is due. But, with that said, this is a pretty good book. It has always been a challenge to find the superman that knows both, data ware housing concepts, and SharePoint concepts. The data ware housing concepts include basic stuff you need to know to work in the BI area such as cubes, MDX queries, etc. So chapter 1 covers that – and if you’re a hardcore DBA, feel free to skip Chapter 1. Then beyond that, we take every single SharePoint 2010 BI topic, and slice and dice it in detail. The topics we deal with are - Visio Services Reporting services Business Connectivity Services Excel Services PerformancePoint Services And in covering each of these topics, we ensure that a general layout was followed for each topic, to ensure completeness of content. We make sure we cover Setup related issues and advice Point and click usage Code usage, i.e. extensibility using visual studio and a walkthrough of the administration side of things, including powershell. (Yes, I insisted on that in being there in every chapter). Writing a book is always a lot of work, so we hope you find it useful. And it should go very well with the other book I just reviewed, which is Microsoft ADO.NET 4, step by step. Comment on the article ....

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  • Oracle Business Intelligence Applications

    Scopri le caratteristiche di Oracle BI Applications, la strategia, l'offerta e i vantaggi delle applicazioni di analitiche di Oracle. Con Oracle BI Applications è possibile valorizzare al meglio il patrimonio informativo delle applicazioni Oracle E-Business Suite, PeopleSoft, Siebel e SAP, ottenendo le informazioni necessarie a prendere le decisioni migliori.

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  • CRM@Oracle Series: CRM Analytics

    - by tony.berk
    What is the most important factor that leads to a successful CRM deployment? Is it the overall strategy, strong governance, defined processes or good data quality? Well, it's definitely a combination of all these, but the most important differentiator from our experience is Business Intelligence. Business Intelligence or Analytics is commonly mentioned as a key aspect to successful CRM and other enterprise deployments. The good news is that Oracle provides pre-built analytics dashboards, which provide real-time, actionable insight, and tools to build custom analyses. However, success with analytics, especially in a large enterprise, still requires a strong strategy, clean data for analysis, and performance. Today's CRM@Oracle slidecast covers Oracle's strategy, architecture and key success factors for deploying CRM Analytics internally at Oracle. CRM@Oracle: CRM Analytics Click here to learn more about Oracle CRM products and here to learn about Oracle Business Intelligence Applications. Have you read our other postings in the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, post a comment and we'll get it on our list.

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  • How will technological singularity affect programmers?

    - by Amir Rezaei
    I'm one of the believers that think that we will hit the technological singularity sooner or later. Then the question is if any profession will be unaffected by changes that will come. In the end it will be we programmers that will implement the first self-aware AI. How will technological singularity affect us programmer? What is your professional opinion regarding technological singularity? EDIT: By self-aware I refer to an entity that questions and seek answers, able to analyze and solve problem. Artificial neural network is branch in mathematics/statistics with many widely used algorithms. The algorithms are applied where recognition of data is needed. For example hidden Markov model is used for voice recognition. Another well-known area is business intelligence and data mining. Today algorithms are self-learning. That is a bit of AI what many never think of. Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make. Link to Ref.

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  • How to prevent Artificial Intelligence from escaping into the internet?

    - by Jason
    I have an interest in artificial intelligence from a evolutionary standpoint. I want to experiment with it somewhat with a high level language like C#, however, I'm stuck on one of the most elementary problems with artificial life -- how to contain it? The best thing I can think of is a virtual machine. Where would I start to create a VM for my budding digital organisms in C#? How could I be sure they couldn't escape into the 'wild'? (I understand this unlikely, by the way.)

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  • Artificial Intelligence Project - What language should I go for?

    - by Kremlin Yocepf
    Hi, I am a computer science student and I am going to work on an artificial intelligence project which will compose a musical tune according to the genre and mood inputs. Are the algorithms to be used for this project likely to be very resource-consuming? Would it make any difference (in terms of speed) if I choose to go with Java rather than C++? (Note : I know only these two languages and I am more comfortable with Java than C++.) NB : Sorry for my poor English. If someone can, please clean up this post wherever necessary. Thanks.

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  • 24 hours of PASS is back!

    - by Sergio Govoni
    The most important free on-line event on SQL Server and Business Intelligence is back! The 24 Hours of PASS is coming back with a great edition fully based on the new features of SQL Server 2014. What could you aspect from the next PASS Summit? Find it out on June 25, 2014 (12:00 GMT) on 24 Hours of PASS: SQL Server 2014! Register now at this link. No matter from what part of the world you will follow the event, the important thing is to know that it will be 24 hours of continuous training on SQL Server and Business Intelligence.

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  • Using game of life or other virtual environment for artificial (intelligence) life simulation? [clos

    - by Berlin Brown
    One of my interests in AI focuses not so much on data but more on biologic computing. This includes neural networks, mapping the brain, cellular-automata, virtual life and environments. Described below is an exciting project that includes develop a virtual environment for bots to evolve in. "Polyworld is a cross-platform (Linux, Mac OS X) program written by Larry Yaeger to evolve Artificial Intelligence through natural selection and evolutionary algorithms." http://en.wikipedia.org/wiki/Polyworld " Polyworld is a promising project for studying virtual life but it still is far from creating an "intelligent autonomous" agent. Here is my question, in theory, what parameters would you use create an AI environment? Possibly a brain environment? Possibly multiple self contained life organisms that have their own "brain" or life structures. I would like a create a spin on the game of life simulation. What if you have a 64x64 game of life grid. But instead of one grid, you might have N number of grids. The N number of grids are your "life force" If all of the game of life entities die in a particular grid then that entire grid dies. A group of "grids" makes up a life form. I don't have an immediate goal. First, I want to simulate an environment and visualize what is going on in the environment with OpenGL and see if there are any interesting properties to the environment. I then want to add "scarce resources" and see if the AI environment can manage resources adequately.

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