The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics
A White Paper by Dr. Ralph Kimball
The enterprise data warehouse (EDW) community has entered a new realm of meeting new and growing business requirements in the era of “Big Data.” A few of the common challenges include:
- extreme integration,
- semi- and un-structured data sources,
- petabytes of behavioral and image data accessed through MapReduce/Hadoop,
- massively parallel relational databases, and
- structural considerations for the EDW to support predictive and other advanced analytics.
These pressing needs raise more than a few urgent questions, but a few that top the list are:
- How do you handle the explosion and diversity of data sources from conventional and non-conventional sources?
- What new and existing technologies are needed to deepen the understanding of business through big data analytics?
- What technological requirements are needed to deploy big data projects?
- What potential organizational and cultural impacts should be considered?
In this white paper, Dr. Kimball provides detailed guidance for designing and administering the necessary deployment processes to meet these requirements. Dr. Kimball fills the hole where there is a lack of specific guidance in the industry as to how the EDW needs to respond to the big data analytics challenge, and what design elements are needed to support these new requirements.
About the Author
Dr. Ralph Kimball founded the Kimball Group. He is known worldwide as an innovator, writer, educator, speaker and consultant in the field of data warehousing. He has remained steadfast in his long-term conviction that data warehouses must be designed to be understandable and fast. Ralph's books on dimensional design techniques have become the all time best sellers in data warehousing and he has trained more than 10,000 IT professionals around the globe. Prior to founding Kimball Group, he worked at Metaphor, founded Red Brick Systems and co-invented the Star workstation at Xerox’s Palo Alto Research Center (PARC). Ralph has his Ph.D. in Electrical Engineering from Stanford University.
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