The main purpose of the course is to give participants the ability to plan and implement big data workflows on HDInsight.Overview
The main purpose of the course is to give participants the ability to plan and implement big data workflows on HDInsight.
Download Course Outline View Schedule/Book OnlineWho Should Attend
This 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.
Course Objectives
After completing this course, participants will be able to:
- Deploy HDInsight Clusters
- Authorising 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
- Create Spark Streaming Applications
Course Prerequisites
Before attending this course, participants 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
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