Data & Intelligence

Hadoop’s Ever-Increasing Role

With the advent of Splice Machine and the release of Hive 0.14 we are seeing Hadoop’s role in the data center continue to grow. Both of these technologies support limited transactions against data stored in HDFS.

Data Intelligence - The Future of Big Data
The Future of Big Data

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Untitled design (4)Now, I would not suggest moving your mission-critical ERP systems to Hive or Splice Machine, but the support of transactions is opening up Hadoop to support more use cases, especially those use cases supported by RDBMS based data warehouses. With transaction support there is a more elegant way to handle slowly changing dimensions of all types in Hadoop now that records can be easily updated. Fact tables with late-arriving information can be updated in place. With transactional support, Master Data can be supported more efficiently. The writing is on the wall: more and more of the functionality that has been historically provided by the data warehouse is now moving to the Hadoop cluster.

To address this ever-changing environment, enterprises must have a clear strategy for evolving their Big Data capabilities within their enterprise architecture. This Thursday, I will be hosting a webinar, “Creating the Next-Generation Big Data Architecture,” where we will discuss Hadoop’s different roles within in a modern enterprise’s data architecture.

About the Author

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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