Introduction to Azure Databricks using R


Course Number: AZDB-142

Duration: 2 days (13 hours)

Format: Live, hands-on

Azure Databricks using R Training Overview

This in-person or online Introduction to Azure Databricks using R training course teaches attendees how to scale R applications for complex analytics and data science operations on the Azure Databricks, Microsoft’s cloud-based Apache Spark platform. This class is hands-on and can be customized to your team's goals and needs. 

Location and Pricing

This course is taught as a private course in-person or online for teams of 3 or more. To receive a quote for online corporate training, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

  • Understand What Databricks is and its architecture.
  • Work in the Databricks environment.
  • Learn What Spark SQL is and How to Write Spark Applications using it.
  • Understand Concepts of running R on Spark.
  • Write Spark Applications Using the SparkR API (library).
  • Write Spark Applications Using the sparklyr API (library).

Prerequisites

Prior knowledge of R and SQL are presumed.

Outline

Expand All | Collapse All

Databricks Introduction
  • Getting Things Ready
  • Tour the Databricks Workspace
  • Create a Spark Cluster
  • Create Spark Tables
Using Databricks Notebooks
  • Using Spark SQL in a Databricks Notebook
  • Touring the Databricks Notebook
  • Managing cells
  • Managing Notebooks
  • Finding Sample Notebooks
Visuals and Dashboards
  • Creating and Customizing Visuals
  • Creating Dashboards
Exploring Spark SQL
  • Creating Tables Over Flat Files (Schema On Read)
  • Common SQL Operations
  • JOINS
  • UNION
  • Scalar Functions
  • Aggregations
  • Creating Views and Tables
  • Common Table Expressions (CTE)
  • Reading and Writing Data
  • Saving to parquet files
  • Saving to Delta Tables
  • Using SQL from R
Intro to R on Spark
  • Running R locally on Spark
  • Importing R Libraries
Using SparkR
  • Intro to SparkR
  • Differences Between R and SparkR
  • Understanding Apache Arrow
Performing Exploratory Data Analysis (EDA)
  • Reading and Writing Data
  • Writing Custom User Defined Functions
Intro to Sparklyr
  • Differences Between SparkR and sparklyr
  • Using sparkly
Performing EDA with sparklyr
  • Reading and Writing Data
Conclusion

Training Materials

All Azure Datatbricks training attendees receive a copy of the instructor’s handout and all code created during the class.

Software Requirements

Attendees will write applications using the Databricks service running on the cloud. 



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