Course description
Performing Data Engineering on Microsoft HD Insight - MOC On Demand (MS-20775)
About this course:
Microsoft Azure HDInsight provides a pay-as-you-go solution for Hadoop-based big data batch processing that is cost-effective because you do not need to commit to installing and configuring on-premises infrastructure. The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight. This course also helps the students in the preparation for .
The average salary for Data Engineer is $84,143 per year.
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Upcoming start dates
Who should attend?
Audience:
This course is intended for:
- Data engineers, data architects, data scientists, and data developers who plan to implement big data engineering workflows on HDInsight.
Prerequisites:
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.
Training content
Course Objective:
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.
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