sponsored by HP & Intel®
Posted:  12 Mar 2013
Published:  12 Mar 2013
Format:  PDF
Length:  9  Page(s)
Type:  eGuide
Language:  English
ABSTRACT:

Some of the characteristics that make big data so "big" are that it is often too large for a standalone database server to process, and many sources of unstructured data, such as social media sites and web logs, do not always work best with traditional relational databases.  To combat these issues, many organizations dealing with big data employ data warehousing strategies that are scale-out models, built around open-source technologies like Hadoop or NoSQL.  However, this shift in data warehousing does not come without its challenges.

In this expert e-guide, learn about the difficulties associated with new big data warehousing techniques and how to overcome them, the role that distributed computing plays in big data management, how to avoid pitfalls like management oversight, and much more.

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BROWSE RELATED RESOURCES
Business Intelligence | Data Analytics | Data Management | Data Mining | Data Warehouse Architectures | Data Warehouses | Distribution | Unstructured Data

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