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The Modern Data Warehouse - A Hybrid Story


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As organizations realize the cost savings and scalability benefits of hybrid solutions, the focus turns to implementing your analytic platforms in these new environments. On-premises vs. cloud is the major decision point, but what about ‘traditional’ disk-based storage and computing vs. in-memory?

Join Perficient’s director of Microsoft business intelligence, Duane Schafer, for a discussion on the business benefits of these topics, and discover how SQL Server 2014 and Microsoft Azure can be leveraged to build the modern data warehouse.

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The Modern Data Warehouse - A Hybrid Story

  1. 1. The Modern Data Warehouse
  2. 2. Perficient is a leading information technology consulting firm serving clients throughout North America. We help clients implement business-driven technology solutions that integrate business processes, improve worker productivity, increase customer loyalty and create a more agile enterprise to better respond to new business opportunities. About Perficient
  3. 3. • Founded in 1997 • Public, NASDAQ: PRFT • 2013 revenue ~$373 million • Major market locations throughout North America • Atlanta, Boston, Charlotte, Chicago, Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Los Angeles, Minneapolis, New Orleans, New York City, Northern California, Philadelphia, Southern California, St. Louis, Toronto and Washington, D.C. • Global delivery centers in China, Europe and India • >2,100 colleagues • Dedicated solution practices • ~85% repeat business rate • Alliance partnerships with major technology vendors • Multiple vendor/industry technology and growth awards Perficient Profile
  4. 4. BUSINESS SOLUTIONS Business Intelligence Business Process Management Customer Experience and CRM Enterprise Performance Management Enterprise Resource Planning Experience Design (XD) Management Consulting TECHNOLOGY SOLUTIONS Business Integration/SOA Cloud Services Commerce Content Management Custom Application Development Education Information Management Mobile Platforms Platform Integration Portal & Social Our Solutions Expertise
  5. 5. Our Microsoft Practice
  6. 6. Duane Schafer, Director of National Microsoft BI Practice at Perficient With nearly 20 years in technology consulting, BI architectures, and solution sales including hybrid cloud and DW appliance architectures, Duane is responsible for strategy assessments including EIM, BI, MDM and governance, solutions architecture, and management of key client engagements – as well as BI/DW architecture, analysis & training in Microsoft BI stack. Our Speaker
  7. 7. • The Traditional DW • DW Stressors • A Modern Alternative • New Capabilities Agenda
  8. 8. The Traditional DW - Defined • Server and DBMS • Methodology for loading data (ETL vs. ELT) • “clean stage vs. dirty stage” • Methodology for storing data (Kimball vs. Inmon) • DW vs. DM
  9. 9. The Traditional DW - Defined • Methodology for archiving data (never) • ODS + DW = HUB • “Historical and non-volatile”… • What is history? “I think… I am history therefore… I’m history?”
  10. 10. The Traditional DW - Architectures Logical Architecture – Mostly concerned about the representation of data back to the end user. Included abstraction/semantic layers, methods of access, etc. Physical Architecture – Mostly concerned about the storage and structuring of data. Included indexing (or not) plans, schemas for security, auditing for data, etc. However, the general consensus is that the DW is one platform that serves a primary workload. - “Reporting and analytics” - Schema driven - Dimensional aspect to it - “One repository of truth”
  11. 11. Stressors to the Traditional DW “… data warehousing has reached the most significant tipping point since its inception. The biggest, possible most elaborate data management system in IT is changing. “ - Gartner, “The State of Data Warehousing in 2012”
  12. 12. Stressors to the Traditional DW - TDWI, “Evolving Data Warehouse Architectures in the Age of Big Data Analytics”, 2014
  13. 13. Stressors to the Traditional DW
  14. 14. A Modern Alternative
  15. 15. A Modern Alternative
  16. 16. A Modern Alternative
  17. 17. A Modern Alternative
  18. 18. A Modern Alternative
  19. 19. A Modern Alternative
  20. 20. A Modern Alternative
  21. 21. Check Point How does this affect our ‘traditional’ DW approach? • Original work load is still covered • Staging, ETL, schema based repository • Original version of the truth is still in place • No need to rip and replace • New work load capabilities have been added • Staging / archiving has been expanded • ETL has more capacity • Multi-schema based analysis is available • The EDW is becoming a hybrid analytic platform
  22. 22. New Capabilities
  23. 23. New Capabilities
  24. 24. New Capabilities
  25. 25. New Capabilities
  26. 26. New Capabilities
  27. 27. New Capabilities
  28. 28. New Capabilities
  29. 29. Connect with Perficient
  30. 30. Thank you for your time and attention today. Please visit us at