Analyzing Big Data with Microsoft R Server Training

Live Online & Classroom Enterprise Training

Learn how to harness the power of Microsoft R Server to analyze, visualize, and model large-scale datasets efficiently using distributed computing and advanced R analytics.

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What is Analyzing Big Data with Microsoft R Server Training about?

The Analyzing Big Data with Microsoft R Server course introduces learners to scalable data analytics using R Server (now part of Microsoft Machine Learning Server). Participants will gain hands-on experience in processing, analyzing, and visualizing massive datasets across distributed environments such as Hadoop and Spark. This course focuses on applying R-based data science techniques to real-world big data scenarios, leveraging the performance and scalability benefits of Microsoft’s enterprise R platform.

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

Understand the architecture and key components of Microsoft R Server.
Perform scalable data manipulation and transformation using R functions.
Apply statistical and machine learning models to large datasets.
Integrate Microsoft R Server with Hadoop and Spark for distributed processing.
Visualize and interpret big data insights effectively.

Who is Analyzing Big Data with Microsoft R Server Training for?

Data Scientists and Data Analysts working with large datasets.
Big Data Engineers and Developers.
Business Intelligence (BI) Professionals.
Machine Learning Practitioners seeking scalable solutions.
IT Professionals supporting data analytics infrastructures.

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

Prerequisites:

Basic knowledge of R programming and data analysis.
Familiarity with big data concepts (Hadoop, Spark, etc.).
Understanding of data manipulation and visualization techniques.
Experience with Windows or Linux command-line tools.
Interest in scalable analytics and distributed computing.

Learning Path:

Introduction to Microsoft R Server and Architecture
Data Ingestion, Preparation, and Transformation at Scale
Building and Deploying Predictive Models with R Server
Integrating R Server with Hadoop and Spark Ecosystems
Optimizing Performance and Visualizing Big Data Insights

Related Courses:

Data Science Essentials using Microsoft Azure
Big Data Analytics with Hadoop and Spark
R Programming for Data Science
Machine Learning with Azure Databricks

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

Module 1: Reading and Preparing the Data

Reading the Data

Preparing the Data

Module 2: Examining and Visualizing Data

Examining the data

Visualizing the data

Module 3: Clustering and Modeling

Clustering

Predictive Modelling

Module 4: Deploying and Scaling

Deploying and Scaling

Who is the instructor for this training?

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

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