Performing Data Engineering on Microsoft HD Insight (20775)


Course Overview

The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight.

A qui s'adresse cette formation

The primary audience for this course is data engineers, data architects, data scientists, and data developers who plan to implement big data engineering workflows on HDInsight.


In addition to their professional experience, students who attend this course should have:

  • Programming experience using R, and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.


After completing this course, students will be able to:

  • Deploy HDInsight Clusters.
  • Authorizing Users to Access Resources.
  • Loading Data into HDInsight.
  • Troubleshooting HDInsight.
  • Implement Batch Solutions.
  • Design Batch ETL Solutions for Big Data with Spark
  • Analyze Data with Spark SQL.
  • Analyze Data with Hive and Phoenix.
  • Describe Stream Analytics.
  • Implement Spark Streaming Using the DStream API.
  • Develop Big Data Real-Time Processing Solutions with Apache Storm.
  • Build Solutions that use Kafka and HBase.
Classroom training

Durée 5 jours

Prix (Hors Taxe)
  • France: 2 820,- €
  • SA Voucher: 5
    hardcoded default SA
pointer une ville pour s'enregistrer Agenda
04.11. - 08.11.2019 Paris
16.09. - 20.09.2019 Milan
16.12. - 20.12.2019 Rome
23.09. - 27.09.2019 London (Int Hse)
27.08. - 31.08.2019 Dubai 3 jours Langue: Anglais This course is being delivered by iTLS.
27.08. - 31.08.2019 Doha 3 jours Langue: Anglais
27.08. - 31.08.2019 Le Caire 3 jours Langue: Anglais