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Introduction to the world of Business Intelligence

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Thurupathan Vijayakumar
Thurupathan Vijayakumar

Presentation for SQL Saturday #417 - Introduction to the modern BI stack of Microsoft. Demos included ETL using SSIS, Data Warehousing, traditional UDM with SSAS, Reporting with SSRS, Excel samples and Power BI

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First foot in the world of BI A walk through of Microsoft BI stack By : Thuru SQL Server Saturday : 06th June 2015 http://thuruinhttp.wordpress.com @thurutweets
What and Why ? Any sort of a platform / system that gives some meaningful information out of the data could arguably be considered as a BI platform / system. Simply because information has value, and in the elaborated scenarios it allows to hindsight, oversight, insight and foresight business values.
BI in real business world • We can categorize BI under different streams : • Based on the purpose – (operational, analytical, functional, reporting..) • Based on the audience – (cooperate, departmental, personal) • Based on the complexity – (enterprise, self service) • Based on latency – (real time, near real time) • Based on the context – (on demand, in-context, ad hoc) • Modern BI 2.0 types – (alerts, notifications, natural language, machine learning, big data)
Introduction UDM • Data Warehouses • ETL • Multi dimensional models • Reporting / Visualizations
Data Warehouse • Two main schemas • Star • Snow Flakes
UDM suites to Enterprises • Large organizations have several disparate systems • Thus they require a complex ETL process for a consolidated BI • This requires Data Warehousing • Most large organizations have more than one Data Warehouse • Often these projects contain business value matrix and defined KPIs of the organization • Pool of BI engineers involve in the development of the project
Exploring Multi dimensional model • Demo : Structure of Data Warehouses (star schema and snow flakes schema) • Demo : SSIS for ETL • Demo : Create a Cube using SSAS • Demo : Create reports using SSRS
Advance concepts of Microsoft UDM • Aggregation level • Storage models • Caching model
Self Servicing BI • Excel Features • Power BI Designer Preview • Power Map
What else ? • Tabular Model • SharePoint with and BI • Office 365 and BI • Azure HDInsight • Azure ML
Q & A

More Related Content

Introduction to the world of Business Intelligence

  • 1. First foot in the world of BI A walk through of Microsoft BI stack By : Thuru SQL Server Saturday : 06th June 2015 http://thuruinhttp.wordpress.com @thurutweets
  • 2. What and Why ? Any sort of a platform / system that gives some meaningful information out of the data could arguably be considered as a BI platform / system. Simply because information has value, and in the elaborated scenarios it allows to hindsight, oversight, insight and foresight business values.
  • 3. BI in real business world • We can categorize BI under different streams : • Based on the purpose – (operational, analytical, functional, reporting..) • Based on the audience – (cooperate, departmental, personal) • Based on the complexity – (enterprise, self service) • Based on latency – (real time, near real time) • Based on the context – (on demand, in-context, ad hoc) • Modern BI 2.0 types – (alerts, notifications, natural language, machine learning, big data)
  • 4. Introduction UDM • Data Warehouses • ETL • Multi dimensional models • Reporting / Visualizations
  • 5. Data Warehouse • Two main schemas • Star • Snow Flakes
  • 6. UDM suites to Enterprises • Large organizations have several disparate systems • Thus they require a complex ETL process for a consolidated BI • This requires Data Warehousing • Most large organizations have more than one Data Warehouse • Often these projects contain business value matrix and defined KPIs of the organization • Pool of BI engineers involve in the development of the project
  • 7. Exploring Multi dimensional model • Demo : Structure of Data Warehouses (star schema and snow flakes schema) • Demo : SSIS for ETL • Demo : Create a Cube using SSAS • Demo : Create reports using SSRS
  • 8. Advance concepts of Microsoft UDM • Aggregation level • Storage models • Caching model
  • 9. Self Servicing BI • Excel Features • Power BI Designer Preview • Power Map
  • 10. What else ? • Tabular Model • SharePoint with and BI • Office 365 and BI • Azure HDInsight • Azure ML
  • 11. Q & A

Editor's Notes

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