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An Introduction to Spark

Gain insights into Spark, its architecture, application lifecycle, and APIs. Delve into data frames, datasets, and Spark SQL to effectively manage and query big data.

4.6
26 Lessons
2h 50min
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

26 Lessons

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.
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Author NameAn Introduction to Spark
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!

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