Analyzing Big Data with Microsoft R Training Logo

Analyzing Big Data with Microsoft R Training

Live Online & Classroom Enterprise Training

This course largely focuses upon the key components and functionalities of RevoScaleR Package.

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What is Analyzing Big Data with Microsoft R Training about?

Here, you will learn how to utilise Microsoft R to overcome R constraints and execute analysis on a huge dataset in this course. We will also show you how to deploy your R code to a Spark cluster or a SQL Server database. After completing this course, you can utilise Microsoft R to solve big-data challenges. 

What are the objectives of Analyzing Big Data with Microsoft R Training ?

  • 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 

Who is Analyzing Big Data with Microsoft R Training for?

  • This course is designed for those who want to study massive datasets in a big data context. 
  • The secondary audience consists of developers who must include R analyses into their solutions. 

What are the prerequisites for Analyzing Big Data with Microsoft R Training?

Basic programming concepts, such as control flows, loops, functions and scope, have a good understanding of R and its data structures, including vectors, matrices, data frames, and lists. And familiar with data manipulation and processing in R using functions such as merge, subset, cbind, rbind, apply, and apply.

Available Training Modes

Live Online Training

10 Hours

Self-Paced Training

10 Hours

Who is the instructor for this training?

The trainer for this Analyzing Big Data with Microsoft R Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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