Demystifying the scale up vs. scale out debate for data warehousing

Demystifying the scale up vs. scale out debate for data warehousing

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Choosing sides on the scale up vs. scale out hardware architecture debate used to be easy. With few choices available, most organizations used to side with symmetric multiprocessing (SMP) - the scale up approach to computing.

But, with the rise of commodity hardware coupled with the recent big data explosion, scaling out has become a more viable option for many companies.

In this expert e-guide, IT industry veteran Tony Iams, SVP, Ideas International, delves deeper into the scale up vs. scale out debate and offers insight on the rationale behind each decision. Learn about the growing popularity of scale out options, such as massively parallel processing (MPP) and distributed computing approaches.

In addition, discover how you can more-efficiently match your company’s database workloads with the right scalability approach to best suit your needs.

Vendor:
SAP America, Inc.
Posted:
11 Dec 2012
Published:
11 Dec 2012
Format:
PDF
Length:
5 Page(s)
Type:
eGuide
Language:
English
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