Hurdles for Hadoop

Hurdles for Hadoop

January 03, 2013 0 Comments

What’s preventing the enterprise from adapting Hadoop for all of their Big Data needs? This is a question that I answered in a recent contributed piece in NetworkWorld:


“In short, companies don't have the technology they need to bridge that gap to connect to and analyze data on the Hadoop platform, which presents a giant hurdle that must be overcome before organizations can truly reap the full benefits Hadoop offers.

To achieve this, companies need fast, ODBC-compliant connectivity they can utilize with their BI suites. As ODBC is the standard of choice for nearly all of the major BI suites, it is the key to unlocking Hadoop data visualization and analysis for these applications. The development of Hadoop drivers is already in the works, with several big-name vendors offering tools and approaches to take the reduced data and move it into traditional warehouses to connect to the ecosystem of analytics tools that currently reside there.”

Read the rest of the post here:

Jesse Davis

Jesse Davis

As Senior Director of Research & Development, Jesse is responsible for the daily operations, product development initiatives and forward looking research for Progress DataDirect. Jesse has spent nearly 20 years creating enterprise data products and has served as an expert on several industry standards including JDBC, J2EE, DRDA and OData. Jesse holds a bachelor of science degree in Computer Engineering from North Carolina State university.

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