Data Stream Development with Apache Spark, Kafka, and Spring Boot [Video]

3 (2 reviews total)
By Anghel Leonard
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About this video

Today, organizations have a difficult time working with huge numbers of datasets. In addition, data processing and analyzing need to be done in real time to gain insights. This is where data streaming comes in. As big data is no longer a niche topic, having the skillset to architect and develop robust data streaming pipelines is a must for all developers. In addition, they also need to think of the entire pipeline, including the trade-offs for every tier.

This course starts by explaining the blueprint architecture for developing a completely functional data streaming pipeline and installing the technologies used. With the help of live coding sessions, you will get hands-on with architecting every tier of the pipeline. You will also handle specific issues encountered working with streaming data. You will input a live data stream of Meetup RSVPs that will be analyzed and displayed via Google Maps.

By the end of the course, you will have built an efficient data streaming pipeline and will be able to analyze its various tiers, ensuring a continuous flow of data.

All the code and supporting files for this course are available at https://github.com/PacktPublishing/-Data-Stream-Development-with-Apache-Spark-Kafka-and-Spring-Boot

Publication date:
November 2018
Publisher
Packt
Duration
7 hours 51 minutes
ISBN
9781789539585

About the Author

  • Anghel Leonard

    Anghel Leonard is a Chief Technology Strategist and independent consultant with 20+ years of experience in the Java ecosystem. In daily work, he is focused on architecting and developing Java distributed applications that empower robust architectures, clean code, and high-performance. Also passionate about coaching, mentoring and technical leadership. He is the author of several books, videos and dozens of articles related to Java technologies.

    Browse publications by this author

Latest Reviews

(2 reviews total)
While this guy may know what he is talking about, the video is full of really bad mispronunciations which made the appreciation of this course very difficult
Good content helps learning technology

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Data Stream Development with Apache Spark, Kafka, and Spring Boot [Video]
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