Apache Spark Full Course | Apache Spark Tutorial For Beginners | Learn Spark In 7 Hours |Simplilearn

This Simplilearn video on Apache Spark Full Course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Here you will learn Spark in 7 hours. You will look at Spark installation, Spark Streaming, Spark MLlib, Spark SQL, and PySpark. Finally, you will also go through the top Apache Spark interview questions. Now, let's get started with this Apache Spark tutorial for beginners!

Below topics are explained in this Apache Spark Full Course:
1. Introduction 00:00
2. History of Spark 06:48
3. What is Spark 07:28
4. Hadoop vs spark 08:32
5. Components of Apache Spark 14:14
6. Spark Architecture 33:26
7. Applications of Spark 40:05
8. Spark Use Case 42:08
9. Running a Spark Application 44:08
10. Apache Spark installation on Windows 01:01:03
11. Apache Spark installation on Ubuntu 01:31:54
12. What is Spark Streaming 01:49:31
13. Spark Streaming data sources 01:50:39
14. Features of Spark Streaming 01:52:19
15. Working of Spark Streaming 01:52:53
16. Discretized Streams 01:54:03
17. caching/persistence 02:02:17
18. checkpointing in spark streaming 02:04:34
19. Demo on Spark Streaming 02:18:27
20. What is Spark MLlib 02:47:29
21. What is Machine Learning 02:49:14
22. Machine Learning Algorithms 02:51:38
23. Spark MLlib Tools 02:53:01
24. Spark MLlib Data Types 02:56:42
25. Machine Learning Pipelines 03:09:05
26. Spark MLlib Demo 03:18:38
27. What is Spark SQL 04:01:40
28. Spark SQL Features 04:03:52
29. Spark SQL Architecture 04:07:43
30. Spark SQL Data Frame 04:09:59
31. Spark SQL Data Source 04:11:55
32. Spark SQL Demo 04:23:00
33. What is PySpark 04:52:03
34. PySpark Features 04:58:02
35. PySpark with Python and Scala 04:58:54
36. PySpark Contents 05:00:35
37. PySpark Subpackages 05:40:10
38. Companies using PySpark 05:41:16
39. PySpark Demo 05:41:49
40. Spark Interview Questions 05:50:43

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➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
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✅ Skills Covered

- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

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Below topics are explained in this Apache Spark Full Course:
1. Animated Video 01:15
2. History of Spark 06:48
3. What is Spark 07:28
4. Hadoop vs spark 08:32
5. Components of Apache Spark 14:14
6. Spark Architecture 33:26
7. Applications of Spark 40:05
8. Spark Use Case 42:08
9. Running a Spark Application 44:08
10. Apache Spark insallation on Windows 01:01:03
11. Apache Spark insallation on Ubuntu 01:31:54
12. What is Spark Streaming 01:49:31
13. Spark Streaming data sources 01:50:39
14. Features of Spark Streaming 01:52:19
15. Working of Spark Streaming 01:52:53
16. Discretized Streams 01:54:03
17. caching/persistence 02:02:17
18. checkpointing in spark streaming 02:04:34
19. Demo on Spark Streaming 02:18:27
20. What is Spark MLlib 02:47:29
21. What is Machine Learning 02:49:14
22. Machine Learning Algorithms 02:51:38
23. Spark MLlib Tools 02:53:01
24. Spark MLlib Data Types 02:56:42
25. Machine Learning Pipelines 03:09:05
26. Spark MLlib Demo 03:18:38
27. What is Spark SQL 04:01:40
28. Spark SQL Features 04:03:52
29. Spark SQL Architecture 04:07:43
30. Spark SQL Data Frame 04:09:59
31. Spark SQL Data Source 04:11:55
32. Spark SQL Demo 04:23:00
33. What is PySpark 04:52:03
34. PySpark Features 04:58:02
35. PySpark with Python and Scala 04:58:54
36. PySpark Contents 05:00:35
37. PySpark Subpackages 05:40:10
38. Companies using PySpark 05:41:16
39. PySpark Demo 05:41:49
40. Spark Interview Questions 05:50:43
Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

[etesvgz]

Actually I'm in Gap Year in Japan in order to learn the language. I didn't touch to spark and scala since one year and I need to review it. It's really hard to do that alone. I started this tutorial and it seems really good. I will do it every days ! Thank you for this free valuable content <3

[SriRam-yqid]

Excellent video on Apache Spark. Special thanks to Ajay and also to the entire Simplilearn team!

[benjiyamamoto]

The best tutorial on this subject that I have come across. Thank you.

[vinodwagh]

The first question answer which was ask by u on time 5:40 -> answer is option 1

[karelkoekemoer]

Fascinating, an exelent and inspirational tutorial. Would love to watch a tutorial of SMACK Stack

[nivitus]

Spark vs PySpark is same or not? If not should i learn scala for learning Apache Spark?

[davidk]

Vvvvelcome to another tech tutorial sir.

[ileska]

Thank you so much for the tutorial sir

[himanshutanwani_]

Can you please make a video explicitly for pyspark, a long one?

[pavankumar-zkvd]

Can you please provide the slides that you have to revise ?

[ramgopalselvaraj]

Where can i find the slides from this video

[harshjain]

Can you plz give us full course of Animation designing or graphic designing ....

[nanthakr]

How 40 exabytes is generated by single mobile user?

[MrMikomi]

How do people find the time to make these massive courses and to make them available for free? 🤔