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Real Time Spark Project for Beginners: Hadoop, Spark, Docker
Introduction
1. Introduction to Apache Spark (32:27)
2. Real Time Spark Project Overview: Building End to End Streaming Data Pipeline (8:40)
Environment Setup
3. Setting up Docker Environment (9:54)
4. Create Single Node Kafka Cluster on Docker (8:15)
5. Create Single Node Apache Hadoop and Spark Cluster on Docker (35:06)
6. Setting up IntelliJ IDEA Community Edition(IDE) (21:00)
7. Setting up PyCharm Community Edition(IDE) (16:40)
8. Setting up Django Web Framework (7:09)
Development Project Code Walk Through
9. Event Simulator using Python(Server Status Detail) (19:15)
10. Building Streaming Data Pipeline using Scala - Spark Structured Streaming (30:57)
11. Building Streaming Data Pipeline using PySpark-Spark Structured Streaming (28:53)
12. Setting up PostgreSQL Database(Events_Database) (4:55)
13. Building Dashboard using Django Web Framework and Flexmonster - Visualization (22:20)
Complete Project Demo
14. Real Time Spark Project Demo (14:31)
15. Running_Real_Time_Streaming_Data_Pipeline_using_Spark_Cluster_On_Docker (10:10)
Bonus Tutorial - Docker Tutorial for Beginners
16. Introduction to Docker (11:37)
17. Install Docker on Ubuntu 18.04 (9:56)
18. Docker Commands - Commonly Used (10:33)
19. Create First Docker Image and Container (9:48)
20. Create MySQL Docker Container (10:58)
21. Cassandra on Docker Container (9:04)
22. MongoDB on Docker Container (8:00)
23. Setting up Docker Compose (18:34)
24. How to create Docker Volume (35:25)
16. Introduction to Docker
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