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Data mining (Part I)
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Data mining (Part I)

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  • Apresentação da empresa, tema e expositor ressaltando as certificações
  • Apresentação da empresa, tema e expositor ressaltando as certificações
  • Transcript

    • 1. Rodrigo Ramos Dornelwww.rdornel.com(Site/Blog/Videos) @rdornelMicrosoft MCP, MCTS, MCITP e MCTSolidQ – Data Platform Engineerhttp://www.solidq.com/br-pt
    • 2. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Reference http://msdn.microsoft.com/en-us/library/bb510516
    • 3. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts• Data Mining Algorithms• Mining Structures• Mining Models• Testing and Validation• Data Mining Queries• Data Mining Solutions• Data Mining Architecture• Data Mining Tools
    • 4. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts • Is Data Mining part of BI – Business Intelligence? • Is Data Mining part of BA – Business Analytics? Reference and Recommendation: http://timoelliott.com/blog/2011/03/business-analytics-vs-business-intelligence.html http://en.wikipedia.org/wiki/Business_analytics
    • 5. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts • In other words, querying, reporting, OLAP, and alert tools can answer questions such as what happened, how many, how often, where the problem is, and what actions are needed. (Summarize) • Business analytics can answer questions like why is this happening, what if these trends continue, what will happen next (that is, predict), what is the best that can happen (that is, optimize) (Tendency)
    • 6. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts • Data mining is the process of discovering information, trend and knowledge from large sets of data (any data). • Uses statistical and mathematic techniques to derive patterns and trends that exist in data. • This task cannot be resolved with the traditional database querys, OLTP or OLAP. • In Data Mining world you want recommendations, sequences, groups and risk. • You have not structured decision´s.
    • 7. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts • First Step: What do you want? Oh God, it´s hard to define it!!! • What are you looking for? What types of relationships are you trying to find? • Do you want to make predictions from the data mining model, or just look for interesting patterns and associations? This is very important: “To answer these questions, you might have to conduct a data availability study, to investigate the needs of the business users with regard to the available data. So, if the data does not support the needs of the users, you might have to redefine the project.”
    • 8. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts • Second Step: Ok, I have the data and now ?! … • We need to standardize, normalize, discretize, clean, and correct this data. Put this data in one place. • How can we do this? • SQL Server 2012 and older versions can help you: – Integration Services in Business Intelligence Development Studio – Master Data Services – Data Quality Services
    • 9. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts• Integration Services in Business Intelligence Development Studio – Master Data Services – http://msdn.microsoft.com/en-us/sqlserver/ff943581.aspx – Data Quality Services – http://technet.microsoft.com/en-us/sqlserver/hh780961.aspx
    • 10. Data MiningIntroducing Data Mining Concepts and Tools with SQL Server 2012• Data Mining Concepts• Fisrt Demonstration • Discretizing data • Normalizing data • SSIS Look Up
    • 11. Rodrigo Ramos Dornel www.rdornel.com (Site/Blog/Videos) @rdornel Microsoft MCP, MCTS, MCITP e MCT SolidQ – Data Platform Engineer http://www.solidq.com/br-ptLittle Tip:(Basic Data Mining Tutorial) http://msdn.microsoft.com/en-us/library/ms167167