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Mine craft:

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Why you should be mining your data and how to actually do it. Every company needs a rock star. We want it to be you. This session will give real world examples of data mining successes as well as walk you through how to get started down the path of data enlightenment, so that you too can say "I Am A Data Miner℠".

Published in: Data & Analytics
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Mine craft:

  1. 1. Mine Craft Why you should be mining your data and how to actually do it.
  2. 2. Mark Tabladillo – MVP • Mark provides enterprise data science analytics advice and solutions. He uses Microsoft Azure Machine Learning, Microsoft SQL Server Data Mining, SAS, SPSS, R, and Hadoop (among other tools). He works with Microsoft Business Intelligence (SSAS, SSIS, SSRS, SharePoint, Power BI, .NET). He is a consultant for SolidQ. • Mark has been a national leader in analytics and data science (data mining and machine learning) through conference speaking and instructional leadership since 1998: Microsoft TechEd, PASS Business Analytics Conference, Predictive Analytics World, SAS Global Forum, PASS Summit. He connects with people on Linked In and Twitter @marktabnet
  3. 3. David McFarland - MSNCSVUP • Sr. Mgr. Business Intelligence – Rentpath • 2007 to present • CTO – AdventureWorks Cycles • 2005 to present • CTO – Northwind Traders • 2000 to 2005 • CTO – Lucerne Publishing • 1990 to 2000
  4. 4. How could data mining apply? Let’s look at three companies
  5. 5. Telecommunications
  6. 6. Oil and Gas
  7. 7. Volkswagen Group
  8. 8. What Why How Relational Data Warehouse Flexible query Data from disparate sources; tables, schema, keys, relationships, index Hadoop & HDInsight Flexible storage and schema, massive parallel processing Multiple nodes and distributed computing, commodity hardware, Java; Map Reduce and YARN Tabular Fast query and calculations, easy to understand In-memory, columnstore indexes Multidimensional OLAP Fast query; ad-hoc analysis Pre-aggregations, calculations Data Mining & Machine Learning Discovery of knowledge, find outliers, find similarities, make predictions Estimations, creation of models
  9. 9. In the beginning, there was… Margaret* *Her real name, as I don’t think that she is THAT innocent.
  10. 10. Demonstration
  11. 11. Data platform: SQL Server 2014 Database Services SQL Server* SQL Azure* Replication SQL Azure Data Sync* Full Text & Semantic Search* Data Integration Services Integration Services* Master Data Services* Data Quality Services* StreamInsight* Project “Austin”* Analytical Services Analysis Services* Data Mining PowerPivot* Reporting Services Reporting Services* SQL Azure Reporting* Report Builder Power View*
  12. 12. 3 things to tell yourself • I will do the data mining exercise! • I will find a way to apply data mining at work! • I will be a rock star!
  13. 13. Appendix Steps toward Mine Craft
  14. 14. Major Websites SQL Server Data Mining http://technet.microsoft.com/en-us/sqlserver/cc510301.aspx http://www.sqlserverdatamining.com/ Microsoft Azure Machine Learning (currently in preview) http://azure.microsoft.com/en-us/services/machine-learning/
  15. 15. Software Dreamspark (students); BizSpark (businesses) SQL Server 2014 Enterprise (includes database engine, Analysis Services, SSMS and SSDT) http://www.microsoft.com/en-us/server-cloud/products/sql-server/default.aspx Microsoft Office http://office.microsoft.com/en-us/ Primer on Power BI -- MarkTab http://blogs.msdn.com/b/mvpawardprogram/archive/2014/08/04/primer-on-power-bi-business-intelligence. aspx
  16. 16. Preparing for Microsoft SQL Server Data Mining Last updated: October 28, 2014 SQL Server • You will need SQL Server 2008 or higher; please include “Database Engine”, “Integration Services”, and “Analysis Services”. For SQL Server 2012 or 2014, you need the “Multidimensional and Data Mining Mode” for Analysis Services. (You may optionally install semantic search in SQL Server 2012 or 2014, print out the following directions before installing: http://msdn.microsoft.com/en-us/library/gg509085 ) o SQL Server 2008 or 2008 R2 – Enterprise Edition (or Developer Edition) The requirements for SQL Server 2008 are on http://msdn.microsoft.com/en-us/library/ms143506(v=SQL.100).aspx All client tools should be installed, including SQL Server Management Studio (SSMS) and Business Intelligence Development Studio (BIDS). Directions for installation are at http://msdn.microsoft.com/en-us/library/ms143219(v=SQL.100).aspx o SQL Server 2012 or 2014 – Business Intelligence Edition or Enterprise Edition (or Developer Edition) The requirements for SQL Server 2014 are on http://msdn.microsoft.com/en-us/library/ms143506 and include NET 3.5 SP1 (.NET 4.0 is also required, but it is installed during installation)All client tools should be installed, including SQL Server Management Studio (SSMS) and SQL Server Data Tools (SSDT). Directions for installation are at http://technet.microsoft.com/en-us/library/ms143219(v=sql.120).aspx • Click http://www.microsoft.com/sqlserver/en/us/get-sql-server/try-it.aspx for a 180-day trial version of SQL Server 2014 • Make sure you run Windows Update to have all the latest service packs and security updates applied
  17. 17. Microsoft Office • (Data mining does not integrate with the browser-based Office 365, which is otherwise a nice product.) • You will need Office 2007 or higher (with Excel) along with the free data mining add-in: o For Office 2007: The 32-bit data mining add-in works with SQL Server 2008 or 2008 R2: http://www.microsoft.com/en-us/download/details.aspx?id=7294 o For Office 2010: The 32- or 64-bit data mining add-in works with SQL Server 2012 or earlier: http://www.microsoft.com/en-us/download/details.aspx?id=35578 o For Office 2013: The 32- or 64-bit data mining add-in works with SQL Server 2012 or earlier: http://www.microsoft.com/en-us/download/details.aspx?id=35578 • Install the add-in, and choose all the parts (sometimes not all the parts are checked). • After installation, run the “Server Configuration Utility” (from the Windows menu) to make sure you can connect from Excel to Analysis Services. Please also open the “Sample Excel Data” (Excel Workbook) to see if you can see the Data Mining tab, and also connect to Analysis Services. If you need help, there is a separate “Help and Documentation” link (which comes up either from Excel or from the Windows menu). o You will need to have your own instance of an Analysis Services database, where you have administrative privileges (allowing both read and write access); if you have any questions on this point, please talk with a professional in your Information Technology group. • Click http://technet.microsoft.com/en-us/evalcenter/jj192782.aspx for a 60-day trial version of Office Professional Plus 2013 • Make sure you run Windows Update to have all the latest service packs and security updates applied

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