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Description

Data Engineering course using Kafka and Spark Structured Streaming. In this course, you will learn how to build a streaming pipeline by integrating Kafka and Spark Structured Streaming. Let’s go through the details of what is covered in the course. First, we need to have a suitable environment for building a streaming pipeline using Kafka and Spark Structured Streaming on Hadoop or any other distributed file system. As part of the course, you will start by setting up a self-supporting lab with all key components such as Hadoop, Hive, Spark and Kafka on a single-node Linux-based system. After setting up the environment, you will review the details of getting started with Kafka. As part of this process, you will create a Kafka topic, generate messages into the topic, and also consume messages from the topic.

What you will learn in the Data Engineering using Kafka and Spark Structured Streaming course

  • Setting up a self-supporting lab with Hadoop (HDFS and YARN), Hive, Spark and Kafka An overview of Kafka for building a streaming pipeline to receive data to Kafka topics using Kafka Connect using a file source Receiving data to HDFS using Kafka Connect with Using the HDFS 3 Connector Plugin Overview of Spark Structured Streaming to process data as part of a streaming pipeline Incremental data processing using Spark Structured Streaming using file source and file target Integrating Kafka and Spark Structured Streaming – Reading data from Kafka topics

This course is suitable for people who

  • Experienced ETL developers who want to learn Kafka and Spark to build streaming pipelines Experienced PL/SQL developers who want to learn Kafka and Spark to build streaming pipelines Beginner or experienced data engineers who want Kafka and Spark to build a streaming pipeline

Data Engineering using Kafka and Spark Structured Streaming course specifications

Course topics on 12/2023

 Data Engineering using Kafka and Spark Structured Streaming

Course prerequisites

  • Laptop with decent configuration
  • Decent internet speed to watch the lessons
  • Self Support lab (instructions will be provided as part of the course) or ITVersity labs
  • Knowledge about Functional Programming (preferably Python or Scala)
  • Knowledge or experience using Spark

Course images

Data Engineering using Kafka and Spark Structured Streaming

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: English

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 710 MB

File(s) password: www.downloadly.ir

File size

3.7 GB

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