Implementing Real-Time Analytics with Hadoop in Azure HDInsight

About this course

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.
Storm to implement real-time streaming analytics solutions.
Spark for high-performance interactive data analysis.

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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

Meet the instructors

Graeme Malcolm

Senior Content Developer Microsoft Learning Experiences

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.