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Risks Associated with Niche Big Data Vendors

Data Intelligence - The Future of Big Data
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One of the not so nice parts of the conference is seeing companies that have technology that have been superseded by the new releases of Hadoop, primarily Hive. One company, boasted about the fact it did not have to do full scans and could return SQL queries in seconds on large datasets. The look on the booth attendant’s face was initially startled, when I asked how his company’s technology was different then that that was included in Risks Associated with Niche Big Data VendorsHive/Stinger’s ORCFile. Bottom-line, is that he did not have a good answer other than saying we are significantly faster than “legacy” versions of Hive.

Hadoop market is in the Cambrian Explosion stage where new vendors and solutions are coming to the market at an incredible pace. However, we do know that most will either be acquired or bankrupt within the next few years which adds risk for companies needing to invest in these niche solutions.  Understand the Apache Hadoop roadmap, understand the unique capabilities of the niche provider, and understand the risks with selecting the particular niche vendor before you buy.

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Bill Busch

Bill is a Director and Senior Data Strategist leading Perficient's Big Data Team. Over his 27 years of professional experience he has helped organizations transform their data management, analytics, and governance tools and practices. As a veteran in analytics, Big Data, data architecture and information governance, he advises executives and enterprise architects on the latest pragmatic information management strategies. He is keenly aware of how to advise and lead companies through developing data strategies, formulating actionable roadmaps, and delivering high-impact solutions. As one of Perficient’s prime thought leaders for Big Data, he provides the visionary direction for Perficient’s Big Data capability development and has led many of our clients largest Data and Cloud transformation programs. Bill is an active blogger and can be followed on Twitter @bigdata73.

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