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1
Introduction
2
Scaling out
3
Hadoop
4
What is Spark
5
Azure Databricks
6
Spark Architecture
7
What is an API
8
Spark API
9
Scala API
10
Apache Spark API
11
Spark APIs
12
Spark Workspace
13
Spark Notebook
14
Spark Context
15
Running the Code
16
Empty Cars
17
Collect
18
Display
19
Loading Big Data
20
Function Masking
21
DataFrames
22
Sampling
23
Training Data
24
Show Title
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Accept
26
Visualizations
27
Spark DataFrame
28
Spark TempTable
29
Spark SQL
30
Local DataFrame
31
Conclusion
Description:
Dive deep into using the R programming language with Azure Databricks, Microsoft's premier Big Data Machine Learning cloud service based on Spark. Explore Spark architecture, APIs, and workspace features while learning to scale out, handle big data, and perform data manipulations. Discover how to use Spark DataFrames, SQL, and visualizations in R within the Azure Databricks environment. Access accompanying slides and code on GitHub to enhance your learning experience.

Azure Databricks with R - Deep Dive

Bryan Cafferky
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