Hadoop and Spark can be used to extract useful information in a variety of scenarios, such as ingestion, data prep, data management, processing, analyzing, and visualizing data. However, each step requires specialized toolsets to be productive. Pranav Rastogi explains how to simplify your big data solutions with Datameer, AtScale, Dataiku, and StreamSets on Microsoft’s Azure HDInsight, a cloud Spark and Hadoop service for the enterprise. Join in to learn practical information that will enable faster time to insights for you and your business.
This session is sponsored by Microsoft.
Pranav Rastogi is a program manager on the Azure HDInsight team, where he spends most of his time in making it easier for customers to leverage the big data ecosystem to build big data solutions faster.
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