Udemy.Spark.Streaming.Stream.Processing.in.Lakehouse.PySpark.BOOKWARE-BLZiSO

Section

eBooks/Audiobooks

Group

BLZiSO

Size

11,66 GB

Files

86

Date

2026-03-29

NFO

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            █ Spark Streaming Stream Processing         █            ▀▀███▀▀
            █ in Lakehouse PySpark                      █            ▀▀███▀▀
          ▀▀█▀█▀▀                                  ▀▀▀▀▀█▀▀ ▀           █
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           ▀█ release date.: 29/03/26  disks........: 01                ▓
            █ supplier.....: Bill      os...........: Win               █
            ▓ cracker......: Bill      protection...: Bill            ▄ █
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       ▀▄▄▄   ▄▄█▓   ▀  .;Program info;.  ░                          ▀ 
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	About the Course

	I am creating Apache Spark and Databricks - Stream Processing in
	Lakehouse using the Python Language and PySpark API. This course
	will help you understand Real-time Stream processing using Apache
	Spark and Databricks Cloud and apply that knowledge to build
	real-time stream processing solutions. This course is example-
	driven and follows a working session-like approach. We will take
	a live coding approach and explain all the needed concepts.

	Capstone Project

	This course also includes an End-To-End Capstone project. The
	project will help you understand the real-life project design,
	coding, implementation, testing, and CI/CD approach.

	Who should take this Course?

	I designed this course for software engineers willing to develop
	a Real-time Stream Processing Pipeline and application using
	Apache Spark. I am also creating this course for data architects
	and data engineers who are responsible for designing and building
	the organizationÆs data-centric infrastructure. Another group of
	people is the managers and architects who do not directly work
	with Spark implementation. Still, they work with those implementing
	Apache Spark at the ground level.

	https://www.udemy.com/course/spark-streaming-using-python/
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