Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Basics of Spark
- Spark Architecture
- Spark SQL
- Spark DataFrames
- Spark Datasets
Learning Roadmap
1.
Spark Overview
Spark Overview
Get familiar with Spark's platform, architecture, application lifecycle, APIs, and RDDs.
2.
DataFrames
DataFrames
Grasp the fundamentals of Spark DataFrames for efficient, structured data analysis and manipulation.
3.
Datasets
Datasets
4 Lessons
4 Lessons
Break apart the essentials of Spark Datasets, including creation, schema definitions, and encoder utilization.
4.
Spark SQL
Spark SQL
7 Lessons
7 Lessons
Grasp the fundamentals of Spark SQL, its engine, views, UDFs, and advanced functions.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
Spark has come to dominate the big data processing space in a short span of time since its release and now serves as the de-facto unified big data processing engine in the industry.
In this course, you will get a complete introduction to the basics of Spark. You will start by learning about the architecture, the application lifecycle, and its API.
From there, you will dive into the data frame data structure and its API as well as the strongly-typed datasets API. Lastly, you’ll get into the Spark SQL engine which will allow you to issue queries on structured data with a schema.
By the end of this course, you will have the confidence to use Spark in any of your big data projects.
ABOUT THE AUTHOR
DataJek
A bay area tech outfit, throwing lots of good ideas on the wall to see what sticks!
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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