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Data Warehouses and Hadoop Integration

WHAT YOU WILL LEARN IN THIS CHAPTER:

  • Understanding the Current “State of the Union”
  • Learning About the Challenges Faced with the Traditional Data Warehouse
  • Discovering Hadoop's Impact on Data Warehouses and Design
  • Introducing Parallel Data Warehouse
  • Finding Out About PDW's Architecture
  • Grasping the Concepts Behind Project Polybase
  • Gaining Insight on How to Use Polybase in Solutions
  • Looking into the Future for Polybase

There has never been a more exciting time to be working in the analytics and data warehousing space; and it most certainly is a space. Data warehouses should be considered to be a place for free thinking—logical entities that holistically span the business, not physical beings constrained by limits of today's technology and yesterday's decisions. The aspiration for the new world of data is liberty: seamless, friction free-integration across the enterprise and beyond.

Therefore, we start by taking a deeper look at the emerging relationship between data warehouses and Hadoop. The current methods using Sqoop offer limited value, but both data warehouse vendors and Hadoop need more. More importantly, business has demanded more. More so than ever, data warehouse vendors have really had to up their game to demonstrate their value and thought leadership to the enterprise in the face of the disruptive technology that is Hadoop.

This ...

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