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

You're reading from Real-Time Stream Processing Using Apache Spark 3 for Python Developers Learn to create real-time stream processing applications using Apache Spark

Product type Video

Published in Feb 2022

Publisher Packt

ISBN-13 9781803246543

Length 4hrs 34mins

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Data Science

Author (1):

ScholarNest

View More author details

Table of Contents (7) Chapters

1. Before you Start FREE CHAPTER

2. Setup your Environment

3. Getting Started with Spark Structured Streaming

4. Spark Streaming with Kafka

5. Windowing and Aggregates

6. Stream Processing and Joins

7. Keep Learning

Final Word

You have been reading a chapter from

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

Published in: Feb 2022

Publisher: Packt

ISBN-13: 9781803246543

© 2022 Packt Publishing Limited All Rights Reserved

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Authors (1)

ScholarNest

ScholarNest

ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills. Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects. It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.

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