January 26, 2018

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Course 20773: Analyzing Big Data with Microsoft R
The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database. The primary audience for this course is people who wish to analyze large datasets within a big data environment.The secondary audience are developers who need to integrate R analyses into their solutions. After completing this course, students will be able to: Explain how Microsoft R Server and Microsoft R Client work; Use R Client with R Server to explore big data held in different data stores ; Visualize data by using graphs and plots; Transform and clean big data sets;
Implement options for splitting analysis jobs into parallel tasks; Build and evaluate regression models generated from big data; Create, score, and deploy partitioning models generated from big data; Use R in the SQL Server and Hadoop environments

About this course:

  • Audience(s): Data Professional
  • Technology: SQL Server
  • Level: 300
  • This Revision: A
  • Delivery method: Classroom
  • Length: 3 days

Course Outline:

  • Module 1: Microsoft R Server and R Client
  • Module 2: Exploring Big Data
  • Module 3: Visualizing Big Data
  • Module 4: Processing Big Data
  • Module 5: Parallelizing Analysis Operations
  • Module 6: Creating and Evaluating Regression Models
  • Module 7: Creating and Evaluating Partitioning Models
  • Module 8: Processing Big Data in SQL Server and Hadoop

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