Architecting Big Data Solutions in the cloud

Track: R2D2
Skill Level: Advanced
Room: Room A303
Time Slot: Thu 2/23, 1:00 PM
Tags: apache spark , hive , hbase , big data , cloud
Abstract

The session covers how to architect big data solutions in Azure. Azure provides different Hadoop clusters types. The session covers the basic understanding of Lambda Architecture and how to build end to end big data solution using Apache Hadoop HDFS, HBase, Hive, Storm and Spark. The session covers how to integrate by building apps using any programming language such as Java, Python, or Scala with HDInsight clusters using various Hadoop integration frameworks and libraries. The session is a jump start for Architects, engineers and DBAs with RDBMS experience who are looking for starting building big data solutions based on Hadoop. The session is a demo driven and will cover the basics of Hadoop open source products.

Mostafa Elzoghbi

Mostafa Elzoghbi is a Microsoft Sr. Technical Evangelist based in DC. Mostafa is specialized in Azure architecture and development, Office 365 development and administration, .NET development, and enterprise product development. I am an experienced architect in building cloud based solutions and a data nerd.
Prior to joining Microsoft, Mostafa was awarded a Microsoft Most Valuable Professional (MVP) award for five consecutive years. Mostafa holds a M.Sc. of Computer Science and holds several Microsoft certifications.

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