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Implementing-Time Analytics with Hadoop in Azure HDInsightg Real (DAT202.2x)

Learn how to implement low-latency and streaming Big Data solutions using Hadoop technologies like HBase, Storm, and Spark on Microsoft Azure HDInsight.

GK# 7008

Course Overview

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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.

Add a course completion certificate to your cart when you enroll for your course, or purchase it at any time prior to course completion. A voucher code will be added to your MyGK dashboard that can be redeemed upon passing the exam in the course completion chapter.

Add Course Completion Certificate for $100

Schedule

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What You'll Learn

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

Outline

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Viewing outline for:

On-Demand Outline

The course consists of the following modules:

  • 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

 

The course should take an estimated 2-3 hours per week for four weeks, including lecture, further reading, hands-on labs, and assessments. A further week is allowed for assignment submission.

Prerequisites

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  • 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

Who Should Attend

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Data Analysist with Hadoop experience.

Course Delivery

This course is available in the following formats:

On-Demand

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