Implementing Real-Time Analytics with Hadoop in Azure HDInsight (edX)

Implementing Real-Time Analytics with Hadoop in Azure HDInsight (edX)
Course Auditing
Categories
Effort
Certification
Languages
Familiarity with: Hadoop clusters and Hive in HDInsight; database concepts and basic SQL query syntax; basic programming constructs. Experience with C# and Visual Studio is preferred.
Misc
Implementing Real-Time Analytics with Hadoop in Azure HDInsight (edX)
Learn how to use Hadoop technologies like HBase, Storm, and Apache Spark in Microsoft Azure HDInsight to create real-time analytical solutions. 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.

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.


Course Syllabus


Module 1: Using HBase for NoSQL Data

Module 2: Using Storm for Streaming Data

Module 3: Using Spark for Interactive Analysis

Module 4: Final Exam



Course Auditing
99.00 USD
Familiarity with: Hadoop clusters and Hive in HDInsight; database concepts and basic SQL query syntax; basic programming constructs. Experience with C# and Visual Studio is preferred.