Learn Spark Structured Streaming on Databricks platform
What you’ll learn:
Learn Azure Databricks – Spark Structure Streaming
Requirements
Python Basic
Description
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.
Who this course is for
Data Professional
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