High-Performance Data Engineering with Kafka and Spark - Processing 1.2 Billion Records Per Hour

High-Performance Data Engineering with Kafka and Spark - Processing 1.2 Billion Records Per Hour

CodeWithYu via YouTube Direct link

Spark Job Optimisation and Statistics

11 of 13

11 of 13

Spark Job Optimisation and Statistics

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

High-Performance Data Engineering with Kafka and Spark - Processing 1.2 Billion Records Per Hour

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 High Level Architecture Whiteboard
  3. 3 Data Storage Estimation with workings!
  4. 4 Clean Architecture
  5. 5 System Architecture
  6. 6 System Architecture Setup and Coding
  7. 7 Python Producer 😩
  8. 8 Java Producer yay! 😁
  9. 9 300,000 records per second!
  10. 10 Apache Spark Consumer
  11. 11 Spark Job Optimisation and Statistics
  12. 12 Cluster Health issues
  13. 13 Part 1 Outro

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.