Implementing Real-Time Analytics with Hadoop in Azure HDInsight
Graeme Malcolm via edX
- 0
- 4 weeks long, 2-3 hours a week
- edX
- English
Course Overview
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.
Course Circullum
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
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This Course Include:
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
- Provider:edX
- Certificate:Not Avalible
- Language:English
- Duration:4 weeks long, 2-3 hours a week
- Language CC: