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BI For Hadoop

How to Make OLAP Work For Hadoop

The basic premise of Online Analytical Processing (OLAP) is to allow people to access data, ask questions, and get answers quickly. OLAP is the foundation of business intelligence (BI) – the broader set of tools and methodologies for gaining meaningful insights from raw transactional data.  OLAP is a concept first coined in 1993, but the business need it addresses still exists today, perhaps even more so in this new era of Big Data.

The goal of an OLAP engine is still the same - optimize the data so endusers don’t have to wait to get the answers they need.

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Highlights: 

  • The trade-offs of MOLAP, ROLAP and IMDB
  • OLAP in the age of Hadoop
  • About the AtScale approach to OLAP on Hadoop