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Real-Time Stream Processing Using Apache Spark 3 for Python Developers
Real-Time Stream Processing Using Apache Spark 3 for Python Developers

Real-Time Stream Processing Using Apache Spark 3 for Python Developers: Learn to create real-time stream processing applications using Apache Spark

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€93.99
Video Feb 2022 4hrs 34mins 1st Edition
Video
€93.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon ScholarNest
Arrow right icon
€93.99
Video Feb 2022 4hrs 34mins 1st Edition
Video
€93.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€93.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Learn real-time stream processing concepts
  • Understand Spark structured streaming APIs and architecture
  • Work with file streams, Kafka source, and integrating Spark with Kafka

Description

Take your first steps towards discovering, learning, and using Apache Spark 3.0. We will be taking a live coding approach in this carefully structured course and explaining all the core concepts needed along the way. In this course, we will understand the real-time stream processing concepts, Spark structured streaming APIs, and architecture. We will work with file streams, Kafka source, and integrating Spark with Kafka. Next, we will learn about state-less and state-full streaming transformations. Then cover windowing aggregates using Spark stream. Next, we will cover watermarking and state cleanup. After that, we will cover streaming joins and aggregation, handling memory problems with streaming joins. Finally, learn to create arbitrary streaming sinks. By the end of this course, you will be able to create real-time stream processing applications using Apache Spark. All the resources for the course are available at https://github.com/PacktPublishing/Real-time-stream-processing-using-Apache-Spark-3-for-Python-developers

Who is this book for?

This course is designed for software engineers and architects who are willing to design and develop big data engineering projects using Apache Spark. It is also designed for programmers and developers who are aspiring to grow and learn data engineering using Apache Spark. For this course, you need to know Spark fundamentals and should be exposed to Spark Dataframe APIs. Also, you should know Kafka fundamentals and have a working knowledge of Apache Kafka. One should also have programming knowledge of Python programming.

What you will learn

  • Explore state-less and state-full streaming transformations
  • Windowing aggregates using Spark stream
  • Learn Watermarking and state cleanup
  • Implement streaming joins and aggregations
  • Handling memory problems with streaming joins
  • Learn to create arbitrary streaming sinks

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 25, 2022
Length: 4hrs 34mins
Edition : 1st
Language : English
ISBN-13 : 9781803246543
Category :
Languages :
Concepts :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Feb 25, 2022
Length: 4hrs 34mins
Edition : 1st
Language : English
ISBN-13 : 9781803246543
Category :
Languages :
Concepts :

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Table of Contents

7 Chapters
Before you Start Chevron down icon Chevron up icon
Setup your Environment Chevron down icon Chevron up icon
Getting Started with Spark Structured Streaming Chevron down icon Chevron up icon
Spark Streaming with Kafka Chevron down icon Chevron up icon
Windowing and Aggregates Chevron down icon Chevron up icon
Stream Processing and Joins Chevron down icon Chevron up icon
Keep Learning Chevron down icon Chevron up icon
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