MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (2h 27m) | Size: 844.8 MB
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.
Learn Spark Structured Streaming on Databricks platform
Learn Azure Databricks - Spark Structure Streaming
Python Basic
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 Sennt Analysis
Databricks CLI
CLI setup on windows.
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 Sennt Analysis
Databricks CLI
CLI setup on windows.
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 Sennt Analysis
Databricks CLI
CLI setup on windows.
Data Professional
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