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

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About this video
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
Publication date:
February 2022
Publisher
Packt
Duration
4 hours 34 minutes
ISBN
9781803246543

About the Author
  • Scholar Nest

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