20773 Analyzing Big Data With Microsoft R

This course is not currently scheduled. Please get in touch to book.
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.

This course is not currently scheduled. Please get in touch to book.

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