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Podcast: Big Data, Open Source and Analytics

09.29.2013
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Episode #15 of the podcast is a talk with Stefan Groschupf  available also on iTunes

Stefan is the CEO of Datameer, and talked about how the company started and where it is now. Founded in 2009 by some of the original contributors to Apache Hadoop, Datameer has grown to a global team, advancing big data analytics. After several implementations of Hadoop analytics solutions at Global 500 companies, the founders were determined to build the next generation analytics application to solve the new use cases created by the explosion of structured and unstructured data. Datameer is the single application for big data analytics by combining data integration, data transformation and data visualization. Customers love us, and we work to make Datameer even better each day.

Datameer provides the most complete solution to analyze structured and unstructured data. Not limited by a pre-built schema, the point and click functions means your analytics are only limited by your imagination. Even the most complex nested joins of a large number of datasets can be performed using an interactive dialog. Mix and match analytics and data transformations in unlimited number of data processing pipelines. Leave the raw data untouched.

Datameer turbocharges time series analytics by correlating multiple sets of complex, disparate data. Resulting analytics are endless, including correlation of credit card transactions with card holder authorizations, network traffic data, marketing interaction data, and many more. The end game is a clear window into the operations of your business, giving you the actionable insights you need to make business decisions.

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Data is the raw materials of insight and the more data you have, the deeper and broader the possible insights. Not just traditional transaction data, but all types of data so that you can get a complete view of your customers, better understand business processes and improve business performance.

Datameer ignores the limitations of ETL and static schemas to empower business users to integrate data from any source into Hadoop. Pre-built data connector wizards for all common structured and unstructured data sources means that data integration is an easy, three-step process of where, what and when.

App Market Infographics

Now you never have to waste precious time by starting from scratch. Anyone can simply browse the Analytics App Market, download an app, connect to data, and get instant results. But why stop there? Every application is completely open, so you can customize it, extend it, or even mash it up with other applications to get the insights you need.

Built by data scientists, analysts, or subject matter experts, analytic apps range from horizontal use cases like email and social sentiment analysis to vertical or even product-specific applications like advanced Salesforce.com sales-cycle analysis.

Check out the Datameer app market.

Subscribe to the podcast and listen to what Stefan had to say.  Available also on iTunes

Published at DZone with permission of Joe Stein, author and DZone MVB. (source)

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