Building a Hadoop Data Warehouse: Hadoop 101 for EDW Professionals

Dr. Ralph Kimball explains how Hadoop can be both a destination data warehouse, and also an efficient staging and ETL source for an existing data warehouse. Learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.

Date: Wednesday, Apr 02 2014

Description

Dr. Ralph Kimball describes how Apache Hadoop complements and integrates effectively with the existing enterprise data warehouse. The Hadoop environment's revolutionary architectural advantages open the door to more data and more kinds of data than are possible to analyze with conventional RDBMSs, and additionally offer a whole series of new forms of integrated analysis.

Dr. Kimball explains how Hadoop can be both:

  • A destination data warehouse, and also
  • An efficient staging and ETL source for an existing data warehouse

You will also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.

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