Kafka Integration with Spark


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description
Apache Kafka can easily integrate with Apache Spark to allow processing of the data entered into Kafka. In this course, you will discover how to integrate Kafka with Spark.

Target Audience
Developers, IT Operations engineers, and DevOPs engineers looking to implement and manage Apache Kafka

Prerequisites
None

Expected Duration (hours)
1.1

Lesson Objectives

Kafka Integration with Spark

  • start the course
  • install and configure the Spark Streaming package for Kafka
  • read data into Spark from Kafka
  • read data in parallel into Spark from Kafka
  • write data back to Kafka from Spark
  • write data back to Kafka from Spark in parallel
  • create a direct stream to access Kafka data from Spark
  • use LocationStrategies and ConsumerStrategies to improve performance
  • use an RDD in cases where batch processing would be a better solution
  • use offsets to handle exactly-once semantics
  • use Kafka and Spark to split words from sentences

    • Course Number:
    df_apka_a03_it_enus

    Expertise Level
    Intermediate