Analyzing Big Data with Microsoft R (20773)

Apresentação

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.

Destinatários

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.

Objetivos

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

Pré-requisitos

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.

Programa

  • Microsoft R Server and R Client
  • Exploring Big Data
  • Visualizing Big Data
  • Processing Big Data
  • Parallelizing Analysis Operations
  • Creating and Evaluating Regression Models
  • Creating and Evaluating Partitioning Models
  • Processing Big Data in SQL Server and Hadoop

De momento não temos datas disponíveis para este curso, entre em contacto para obter mais informações.

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