Perform Data Engineering on Microsoft HD Insight Training (70-775) Training

Objectives

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
•    Analyse Data with Spark SQL.
•    Analyse 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.

Highlights

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

Who Should Attend

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

The secondary audience is IT professionals, Developers, and information workers who need to support solutions based on Azure HDInsight

•     Familiarity with Azure Cloud Services
•     Working knowledge of Python, R, C#
•     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.

Target Audience

Developers / IT Pros / Data Scientist / Data Engineer & Data Analyst / Data Architect

Personas

Data Engineer & Data Analyst / Azure Developer / .NET Developer / Java Developer / Technical Architect