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.
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-fact...Show More
WHAT YOU'LL LEARN
Basics of Spark
Spark Architecture
Spark SQL
Spark DataFrames
Spark Datasets
Basics of Spark
Show more
Content
1.
Spark Overview
9 Lessons
Get familiar with Spark's platform, architecture, application lifecycle, APIs, and RDDs.
2.
DataFrames
5 Lessons
Grasp the fundamentals of Spark DataFrames for efficient, structured data analysis and manipulation.
3.
Datasets
4 Lessons
Break apart the essentials of Spark Datasets, including creation, schema definitions, and encoder utilization.
4.
Spark SQL
7 Lessons
Grasp the fundamentals of Spark SQL, its engine, views, UDFs, and advanced functions.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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