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 courses are available as live, instructor-led training from one of our partners.
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
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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
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.
