Cloudera and Pentaho team up to simplify data management and business intelligence

Webinar: Decmeber 9, 2010, 11am PT, 2pm ET

Guest post by Thomas J. Wilson, president of Unisphere Research which produces custom research projects in conjunction with many of the leading data management and IT user groups, as well as with other industry communities including the subscribers of Database Trends and Applications magazine.

We conduct a lot of research among data architects, database professionals, business intelligence specialists and development professionals for Database Trends and Applications. One thing is becoming clearer by the day: data proliferation is taking an enormous toll on IT budgets as well as IT staff time. These burdens are a large area of concern and stress for IT departments.

Concurrently, business management is turning up the pressure on IT to deliver reports that analyze the data being captured and turn it into some kind of usable insight. Creating these reports is often done manually and can be very time consuming and therefore expensive.

The problem is that resources are tight, and the demands on IT are growing in many of these data intensive organizations. In this kind of pressurized environment, and now at a time of increasing competitive weight, information management professionals are demanding new solutions to managing their large data stores coupled with integrate techniques that yield usable intelligence.

Our second in a series of educational webcasts, “New Solutions for the Data Intensive Enterprise” looks at how the combination of Apache Hadoop and business intelligence can address the challenges related to data proliferation. Specifically we will show how Cloudera’s Distribution for Hadoop teamed up with Pentaho Business Intelligence can be a blueprint for simplifying data management and business intelligence in complex data environments. If you are looking to relieve the stress brought on by large-scale data demands, join us at this complimentary webcast on Thursday, December 9, 2010.

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