This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implement Spark with Python in PySpark tutorial and look at some of the important Apache Spark interview questions.

Below topics are explained in this Apache Spark Full Course:

1. Animated Video
2. History of Spark
3. What is Spark
4. Hadoop vs spark
5. Components of Apache Spark
6. Spark Architecture
7. Applications of Spark
8. Spark Use Case
9. Running a Spark Application
10. Apache Spark installation on Windows
11. Apache Spark installation on Ubuntu
12. What is Spark Streaming
13. Spark Streaming data sources
14. Features of Spark Streaming
15. Working of Spark Streaming
16. Discretized Streams
17. caching/persistence
18. checkpointing in spark streaming
19. Demo on Spark Streaming
20. What is Spark MLlib
21. What is Machine Learning
22. Machine Learning Algorithms
23. Spark MLlib Tools
24. Spark MLlib Data Types
25. Machine Learning Pipelines
26. Spark MLlib Demo
27. What is Spark SQL
28. Spark SQL Features
29. Spark SQL Architecture
30. Spark SQL Data Frame
31. Spark SQL Data Source
32. Spark SQL Demo
33. What is PySpark
34. PySpark Features
35. PySpark with Python and Scala
36. PySpark Contents
37. PySpark Sub packages
38. Companies using PySpark
39. PySpark Demo
40. Spark Interview Questions

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