This full course video on Apache Spark 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. Now, let’s get started and learn Apache Spark in detail.
Below topics are explained in this Apache Spark Full Course:
- Animated Video 01:15
- History of Spark 06:48
- What is Spark 07:28
- Hadoop vs spark 08:32
- Components of Apache Spark 14:14
- Spark Architecture 33:26
- Applications of Spark 40:05
- Spark Use Case 42:08
- Running a Spark Application 44:08
- Apache Spark insallation on Windows 01:01:03
- Apache Spark insallation on Ubuntu 01:31:54
- What is Spark Streaming 01:49:31
- Spark Streaming data sources 01:50:39
- Features of Spark Streaming 01:52:19
- Working of Spark Streaming 01:52:53
- Discretized Streams 01:54:03
- caching/persistence 02:02:17
- checkpointing in spark streaming 02:04:34
- Demo on Spark Streaming 02:18:27
- What is Spark MLlib 02:47:29
- What is Machine Learning 02:49:14
- Machine Learning Algorithms 02:51:38
- Spark MLlib Tools 02:53:01
- Spark MLlib Data Types 02:56:42
- Machine Learning Pipelines 03:09:05
- Spark MLlib Demo 03:18:38
- What is Spark SQL 04:01:40
- Spark SQL Features 04:03:52
- Spark SQL Architecture 04:07:43
- Spark SQL Data Frame 04:09:59
- Spark SQL Data Source 04:11:55
- Spark SQL Demo 04:23:00
- What is PySpark 04:52:03
- PySpark Features 04:58:02
- PySpark with Python and Scala 04:58:54
- PySpark Contents 05:00:35
- PySpark Subpackages 05:40:10
- Companies using PySpark 05:41:16
- PySpark Demo 05:41:49
- Spark Interview Questions 05:50:43
#bigdata #apache #spark #apache-spark
8.75 GEEK