Add Reporting and Analytics to MySQL Data in 10 minutes Journey from self-service to managed BI Rushabh Mehta, Mentor and Managing Director (India) Solid Quality Mentors

Goals  Simplified data mash-up and analysis  Extended Reporting  Managed BI  Goal #1 – BI in 10 minutes!

Sales Data Dimensional Model

Considerations  Sales data processed into a Relational Dimensional Model  Data Cleansing already done as part of loading Model  Using MyISAM storage for rapid reporting

DEMO Analyzing MySQL data

Technologies Used  On Network  Data Sources  MySQL Database (Release ) – Sales data  ATOM Data Feeds  On Client Machine [The Information Worker]  Data Sources  Text File  Excel  Drivers  MySQL Connector-ODBC – DSN created to MySQL database  Data manipulation, model creation and analysis technologies  Excel 2010  PowerPivot Add-in for Excel 2010

DEMO Extended Reporting Reports against Analytical Model Reports against MySQL

Technologies Used  On Network  Microsoft SharePoint Server 2010  Excel Services, PowerPivot Service, Analysis Services and Reporting Services  MySQL Connector-ODBC and DSN  On Developer Machine [The Report Creator]  Business Intelligence Development Studio  MySQL Connector-ODBC and DSN  On Client Machine [The Information Worker or Report Consumer]  Internet Explorer .NET Framework

DEMO Managed BI Solution Managed Analytical Model

Technologies Used  On Network  MySQL Database  Sales Database  SQL Server 2008 R2  Analysis Services and Database Engine (additional data)  MySQL ADO.NET Provider  On Developer Machine [The Model Creator]  Business Intelligence Development Studio  MySQL ADO.NET Provider  On Client Machine [The Information Worker or Information Consumer]  Excel  Other client tools for OLAP

References  Technology References    (Free 300+ Hours of deep technical recorded content)  Upcoming Free Educational Series  24 Hours of PASS R2 (  Implementation and Training   s  solidq.com  solidq.com

THANK YOU