Thursday 14th June, 2012
11:25am to 12:05pm
For years, Hadoop and associated tools like HBase and Hive have been providing companies with valuable storage and analysis capabilities. Increasingly though, organizations are looking to integrate Hadoop into their existing data infrastructures to support new data processing and analysis that was impractical with traditional data management systems. They’re also looking to go beyond command line interfaces to facilitate analysis of data through richer toolsets. Although still a young market, vendors have taken note of these trends, and we’re seeing rapid development of tools to provide data access, integration, and analysis for Hadoop. In this talk we’ll look at common patterns being applied to leverage Hadoop with traditional data management systems, and then look at the emerging landscape of tools which provide access and analysis of Hadoop data with existing systems such as data warehouses, relational databases, and business intelligence tools.
Solutions Architect — Cloudera, Inc.
Jonathan is a Solutions Architect on the Partner Engineering team at Cloudera, working with software partners to facilitate integration of their solutions with Hadoop. Before joining Cloudera he was a Lead Engineer on the Big Data team at Orbitz Worldwide, helping to build out the Hadoop clusters supporting the data storage and analysis needs of one of the most heavily trafficked sites on the internet. Jonathan is also a co-founder and organizer of the Chicago Hadoop User Group and the Chicago Big Data meetup and a frequent speaker on Hadoop and big data at industry conferences such as Hadoop World, Strata, and OSCON.
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