Overview
This course on Azure Databricks with R: Deep Dive aims to teach learners how to utilize the R programming language within the Azure Databricks environment. The course covers topics such as Spark architecture, Spark APIs, Spark Workspace, Spark Notebook, Spark SQL, and more. By the end of the course, students will have gained the skills to work with Big Data and Machine Learning using Azure Databricks and R. The teaching method involves a combination of theoretical explanations and practical coding examples. This course is intended for individuals interested in leveraging R programming within the Azure Databricks platform for Big Data and Machine Learning projects.
Syllabus
Introduction
Scaling out
Hadoop
What is Spark
Azure Databricks
Spark Architecture
What is an API
Spark API
Scala API
Apache Spark API
Spark APIs
Spark Workspace
Spark Notebook
Spark Context
Running the Code
Empty Cars
Collect
Display
Loading Big Data
Function Masking
DataFrames
Sampling
Training Data
Show Title
Accept
Visualizations
Spark DataFrame
Spark TempTable
Spark SQL
Local DataFrame
Conclusion
Taught by
Bryan Cafferky