20773 Analyzing Big Data With Microsoft R

Overview

The main purpose of the course is to give participants 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.

Who Should Attend

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.

Course Objectives

After completing this course, participants 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
• Visualise 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

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