07 | Apache Spark APIs Explained | RDDs, DataFrames, Datasets, SQL & More
In this video, we explore the different Spark APIs that developers use to write code and process big data. From low-level APIs to modern structured APIs, you’ll learn how Spark provides multiple ways to interact with data.
What you’ll learn:
Low-level APIs: RDDs (Resilient Distributed Datasets) & Distributed Variables
Structured APIs: DataFrames, Datasets, and Spark SQL
Why DataFrames & SQL are most commonly used today
High-level Spark libraries: Structured Streaming, MLlib, GraphX, and more
How PySpark makes working with DataFrames and SQL simple
By the end of this video, you’ll clearly understand which APIs are relevant today and how to choose between them for your Spark and PySpark projects.
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