Skip to main content

Data & Intelligence

Data Warehouse Role in Big Data

Last year the Data Warehouse was on the endangered species list.   A number of Hive solutions were being marketed as the Data Warehouse killers. However, this message has been muted this year and is evidenced by some developing trends. First, all of the mega-vendors have announced technologies to access data in Hadoop.   Oracle and IBM in particular have specific optimizations and agents, that turn their core SQL on Hadoop offering into Data Warehouse Role in Big Dataa virtual data warehouse.

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

With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.

Get the Guide

The big vendors are essentially just offloading the storage of data to HDFS. Next, the primary front-end applications on display were analytic vendors like SAS, Datameer, and Revolution R.   Other than Microstrategy, we did not see BI vendors coming forward with reporting and dashboard solutions targeted at Big Data.   This would suggest that BI vendors still believe that they are better served by traditional warehouse approaches (at least for now.) The result of these trends, one can see the evolution of the modern data architecture.

The virtualization capabilities combined with in-memory database solutions to serve the traditional BI use-cases and analytic tools directly accessing Hadoop for data discovery, visualization, and analytics.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

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.

More from this Author

Follow Us