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Mine Craft 
Why you should be mining your data and how to actually do it.
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
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
How could data mining apply? 
Let’s look at three companies
Telecommunications
Oil and Gas
Volkswagen Group
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
In the beginning, there was… 
Margaret* 
*Her real name, as I don’t think that she is THAT innocent.
Demonstration
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*
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!
Appendix 
Steps toward Mine Craft
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/
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
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
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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Mine craft:

  • 1. Mine Craft Why you should be mining your data and how to actually do it.
  • 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. 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.
  • 5. How could data mining apply? Let’s look at three companies
  • 9.
  • 10. 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
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. In the beginning, there was… Margaret* *Her real name, as I don’t think that she is THAT innocent.
  • 17.
  • 19. 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*
  • 20. 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!
  • 21. Appendix Steps toward Mine Craft
  • 22. 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/
  • 23. 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
  • 24. 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
  • 25. 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

Hinweis der Redaktion

  1. Microsoft non-certified semi-valuable unprofessional
  2. What is it? Turning raw data into actual useful information, often to answer questions for which there is no “silver bullet” answer. Classification algorithms for things like retail fraud prevention I’m thinking that this might be better served via Mark than myself.
  3. Why do it?
  4. Confirm or bust long held myths that youre company has assumed were true. Month-to-Month Competitors are nearby, like-priced. Etc.
  5. Useful for those questions for which there is no silver bullet answer. Why do customers leave us? Who is most likely to purchasing product x? Who are our customers’ true competitors? What drives leads?
  6. You can expect to run into many roadblocks. We did as well, but that just slowed us down a bit.
  7. Let me tell you a little story about what can be accomplished in 8 short years, in spite of the roadblocks. CEO: David who? 1 to 50,000 users 4 reports to thousands (not completely proud of this one) Cubes Data mining CEO: Cookie stash
  8. Data mining is easy. Getting the data sanitized is where the work lies “Normalizing” the data might be necessary (use entry rent example)
  9. I’m not liking this specifically, for reasons I can’t articulate, but I do want something similar as a wrap-up.