Implementing Real-Time Analysis with Hadoop in Azure HDInsight - Microsoft

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Learn how to use Hadoop technologies like HBase, Storm, and Spark in Microsoft Azure HDInsight to create real-time analytical solutions.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Familiarity with Hadoop clusters and Hive in HDInsight

Familiarity with database concepts and basic SQL query syntax.

Familiarity with basic programming constructs (for example, variables, loops, conditional logic). Experience with Java or C# is useful but not essential.

A willingness to learn actively and persevere when troubleshooting technical problems is essential.

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This centre's achievements

2017

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 8 years

Subjects

  • Computer Science
  • Hadoop
  • Azure HDInsight
  • Analysis
  • HBase
  • Storm
  • Spark

Course programme

In this four week course, you’ll learn how to implement low-latency and streaming Big Data solutions using Hadoop technologies like HBase, Storm, and Spark on Microsoft Azure HDInsight. Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices. This course is the second in a series that explores big data and advanced analytics techniques with HDInsight; and builds on the batch processing techniques learned in DAT202.1x: Processing Big Data with Hadoop in Azure HDInsight.

What you'll learn

In this course, you’ll learn how to:

  • Use HBase to implement low-latency NoSQL data stores.
  • Use Storm to implement real-time streaming analytics solutions.
  • Use Spark for high-performance interactive data analysis.

Additional information

Graeme Malcolm Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

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Implementing Real-Time Analysis with Hadoop in Azure HDInsight - Microsoft

Free

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