Learn Azure Databricks – Spark Structure Streaming

Learn Spark Structured Streaming on Databricks platform

You will learn about the processing model of Spark Structured Streaming, about the Databricks platform and features, and how it is runs on Microsoft Azure.

What you’ll learn

  • Learn Azure Databricks – Spark Structure Streaming.

Course Content

  • Introduction –> 6 lectures • 26min.
  • Setup Azure Databricks –> 6 lectures • 32min.
  • Data Source & Sink –> 3 lectures • 23min.
  • Streaming ETL Pipeline –> 6 lectures • 32min.
  • Twitter Sentiment Analysis –> 5 lectures • 26min.
  • Databricks CLI –> 2 lectures • 8min.

Learn Azure Databricks - Spark Structure Streaming

Requirements

  • Python Basic.

You will learn about the processing model of Spark Structured Streaming, about the Databricks platform and features, and how it is runs on Microsoft Azure.

You will see how to setup the environment, like workspace, clusters, and security; configure streaming sources and sinks, and see how Structured Streaming fault tolerance works.

Processing Streaming Data Using Apache Spark Structured Streaming, you’ll focus on integrating your streaming application with the Azure Event Hub

Source & Sink

Perform Twitter Sentiment Analysis

Databricks CLI

CLI setup on windows.

 

You will learn about the processing model of Spark Structured Streaming, about the Databricks platform and features, and how it is runs on Microsoft Azure.

You will see how to setup the environment, like workspace, clusters, and security; configure streaming sources and sinks, and see how Structured Streaming fault tolerance works.

Processing Streaming Data Using Apache Spark Structured Streaming, you’ll focus on integrating your streaming application with the Azure Event Hub

Source & Sink

Perform Twitter Sentiment Analysis

Databricks CLI

CLI setup on windows.

 

You will learn about the processing model of Spark Structured Streaming, about the Databricks platform and features, and how it is runs on Microsoft Azure.

You will see how to setup the environment, like workspace, clusters, and security; configure streaming sources and sinks, and see how Structured Streaming fault tolerance works.

Processing Streaming Data Using Apache Spark Structured Streaming, you’ll focus on integrating your streaming application with the Azure Event Hub

Source & Sink

Perform Twitter Sentiment Analysis

Databricks CLI

CLI setup on windows.