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

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

By Anghel Leonard
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Video $130.99
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What do you get with a Packt Subscription?
This book & 7000+ ebooks & video courses on 1000+ technologies
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50+ new titles added every month on new and emerging tech
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Download this video in MP4 format, plus a monthly download credit
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50+ new titles added every month on new and emerging tech
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What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
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Download this book in EPUB and PDF formats
Access this title in our online reader
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Download this video in MP4 format
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What do you get with video?
Stream this video
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Access these resources with our interactive certification platform
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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 his daily work, he is focused on architecting and developing Java-distributed applications that empower robust architectures, clean code, and high performance. He is also passionate about coaching, mentoring, and technical leadership. He is the author of several books, videos, and dozens of articles related to Java technologies.

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