Wednesday, August 31, 2016

Building Big Data Solutions in Azure Data Platform @ Data Science MD

Hi All,

Yesterday i was at Johns Hopkins University in Laurel, MD presenting how to build big data solutions in Azure. The presentation was focused on the underling technologies and tools that are needed to build end to end big data solutions in the cloud. I presented the capabilities that Azure offers out of the box in addition to cluster types and tiers that are available for ISVs and developers.

The session covers the following:

1) What HDInsight cluster offers in hadoop ecosystem technology stack.
2) HDInsight cluster tiers and types.
3) HDInsight developer tools in Visual Studio 2015, HDInsight developer tools.
4) Working with HBase databases and Hive View, deploying Hive apps from Visual Studio.
5) Building, Debugging and Deploying Storm Apps into Storm clusters.
6) Working with Spark clusters using Jupyter, PySpark.


Session Title: Building Big Data Solutions in Azure Data Platform

Session Details:
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop HDFS, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.

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