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10 Lessons Learned By Big Data Pioneers

Doug Henschen August 23, 2011 02:10 PM How can you prepare for the big data era? Consider this expert advice from IT pros who have wrestled with the thorny problems, including data growth and unconventional data.

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Lesson 10: Consider All Dimensions Of Scalability

Database expert Richard Winter advises those planning investments in new data-warehousing platforms to consider six dimensions of scalbility: data size, data complexity, number of users, query volume, query complexity, and data latency requirements. Lots of concurrent users (like 1,000 or 10,000 or more), mixed queries, and complex analyses can be every bit as constraining as sheer big-data scale. Fail to anticipate demands along any one of these dimensions and you may outgrow your system sooner than expected.

Finally, it's an absolute must to test your prospective platform with your most complex data, your hardest queries, and a best attempt at replicating the workloads you'll face in terms of numbers of concurrent users and the mix of queries that will challenge the data warehousing platform.

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By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

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