The future of Hadoop in an era of exponentially growing data (sponsored by SQream)
For a while, Hadoop delivered on its promise to enable data scientists and BI professionals. But what started out as an asset has become a limiting and poorly performing problem. With the exponential growth of data, Hadoop’s expensive nodes have become strained, and the complex data architecture built around Hadoop struggles to bring business insights. Often, querying such massive data stores is simply infeasible.
David Leichner explores how to deal with the exponential growth of data in a Hadoop-based infrastructure, why data preparation takes so much time—and how to reduce it, and how insights can be generated in a timely manner from raw data.
This session is sponsored by SQream.
What you'll learn
- Learn how a Hadoop-based architecture can be improved to support a new era of data
David Leichner is the chief marketing officer of SQream, where he’s responsible for creating and executing its marketing strategy and managing the global marketing team that forms the foundation of SQream’s product market penetration. He has over 25 years of marketing and sales executive management experience garnered from leading software vendors, including Information Builders, Magic Software, and BluePhoenix Solutions.
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