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MOD 20773: Analyzing Big Data with Microsoft R

Description

The purpose of this three-day course is to give students the knowledge needed to use Microsoft R Server to create and run an analysis on a large dataset, and how to utilize Microsoft R in Big Data environments. These environments are Hadoop, Spark cluster, and/or a SQL Server database.

This course is intended for IT professionals who wish to analyze large datasets within a big data environment. Additionally, IT developers who need to integrate R analyses into their solutions.

Upon completion of 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

 

Prerequisites

In addition to their professional experience, it is recommended that students 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.

Curriculum

Module 1: Microsoft R Server and R Client
Lessons

  • What is Microsoft R server
  • Using Microsoft R client
  • The ScaleR functions

Lab: Exploring Microsoft R Server and Microsoft R Client

  • Using R client in VSTR and RStudio
  • Exploring ScaleR functions
  • Connecting to a remote server


Module 2: Exploring Big Data
Lessons

  • Understanding ScaleR data sources
  • Reading data into an XDF object
  • Summarizing data in an XDF object

Lab: Exploring Big Data

  • Reading a local CSV file into an XDF file
  • Transforming data on input
  • Reading data from SQL Server into an XDF file
  • Generating summaries over the XDF data


Module 3: Visualizing Big Data
Lessons

  • Visualizing In-memory data
  • Visualizing big data

Lab: Visualizing data

  • Using ggplot to create a faceted plot with overlays
  • Using rxlinePlot and rxHistogram


Module 4: Processing Big Data
Lessons

  • Transforming Big Data
  • Managing datasets

Lab: Processing big data

  • Transforming big data
  • Sorting and merging big data
  • Connecting to a remote server


Module 5: Parallelizing Analysis Operations
Lessons

  • Using the RxLocalParallel compute context with rxExec
  • Using the revoPemaR package

Lab: Using rxExec and RevoPemaR to parallelize operations

  • Using rxExec to maximize resource use
  • Creating and using a PEMA class


Module 6: Creating and Evaluating Regression Models
Lessons

  • Clustering Big Data
  • Generating regression models and making predictions

Lab: Creating a linear regression model

  • Creating a cluster
  • Creating a regression model
  • Generate data for making predictions
  • Use the models to make predictions and compare the results


Module 7: Creating and Evaluating Partitioning Models
Lessons

  • Creating partitioning models based on decision trees.
  • Test partitioning models by making and comparing predictions

Lab: Creating and evaluating partitioning models

  • Splitting the dataset
  • Building models
  • Running predictions and testing the results
  • Comparing results


Module 8: Processing Big Data in SQL Server and Hadoop
Lessons

  • Using R in SQL Server
  • Using Hadoop Map/Reduce
  • Using Hadoop Spark

Lab: Processing big data in SQL Server and Hadoop

  • Creating a model and predicting outcomes in SQL Server
  • Performing an analysis and plotting the results using Hadoop Map/Reduce
  • Integrating a sparklyr script into a ScaleR workflow

What's included?
 

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers  & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps) 
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Formats

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

Instructor Led (the best training format we offer)
Live Online Classroom – Online Instructor Led
Self-Paced Video

Speak to an Admissions Representative for complete details

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Schedules

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