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Data Stream Development via Spark, Kafka and Spring Boot (Udemy.com)

Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline

4.5
136 reviews

Created by: Packt Publishing

Last updated February 2019

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What you will learn

  • Attain a solid foundation in the most powerful and versatile technologies involved in data streaming: Apache Spark and Apache Kafka
  • Form a robust and clean architecture for a data streaming pipeline
  • Implement the correct tools to bring your data streaming architecture to life
  • Isolate the most problematic tradeoff for each tier involved in a data streaming pipeline
  • Query, analyze, and apply machine learning algorithms to collected data
  • Display analyzed pipeline data via Google Maps on your web browser
  • Discover and resolve difficulties in scaling and securing data streaming applications

How it compares

Against the other 150 rated Udemy courses in Hadoop on CourseDuck:

  • Rating4.5 out of 5higher than 68% of them
  • Reviews136#105 of 151 by number of reviews
  • Length7.8 hourslonger than 62% of them
  • Last updatedFebruary 2019earlier than 75% of them

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Course Description

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.

About the Author

Anghel Leonard is currently a Java chief architect. He is a member of the Java EE Guardians with 20+ years’ experience. He has spent most of his career architecting distributed systems. He is also the author of several books, a speaker, and a big fan of working with data.
Read More Beginner Beginner Level product length iconTime: 7.8h

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Instructor Details

Packt Publishing

Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.


Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.


We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.

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Reviews

4.5

136 ratings on Udemy

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By Maneesh on 9/30/2024

It is good match for me and enough for me to understand in better way.

By Srinivas Reddy on 2/19/2023

not good content and example streaming wc website do not work.. just reading from a book...

By Martin McAlroy on 9/18/2020

Very useful and informative for an introduction into this topic. Perhaps more practical examples along with the conceptual information would also help e.g. specific code snippets shown alongside the concept and used as a way to explain what is going on by comparing the more abstract ideas with the more low-level, intricate code in use.

By William Alvarez on 6/4/2020

Good, in detail where needed, no light talk. In sumary, amazing!

By Nicholas Ocket on 2/18/2020

after part 1 i can say it looks really interesting. The author has a thick accent, but can keep the content interesting, which is awesome!

By Christian Straight on 1/12/2020

Excellent course except the lecturer in spite of having a very good vocabulary and command of the English language he is not a native English speaker and was sometime difficult to follow due to pronunciation. Otherwise the course is super good with valuable information from a lecturer who obviously has excellent command of the data streaming topics.

By John Boyd on 11/10/2019

Except for his mispronunciation of certain words in english like tier (which is pronounced in a way similar to crying i.e. tears), the course is pretty good..

By Zvonko Pino on 7/23/2019

Theory and concepts are very well explained. Also he deeps into several useful related subjects in order to improve the topics understanding.

By Ahmed Bham on 3/18/2019

very easy to follow, and very comprehensive coverage of topic, end-to-end

By Will Gordon on 12/26/2018

This was a very thorough walk thru of Spark, Kafka, and Spring Boot.

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Overall Score : 90 / 100

Data Stream Development via Spark, Kafka and Spring Boot
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  • Video Duration: icon 7.8h
  • Price: $44.99
  • Provider: icon Udemy
  • Updated: icon February 2019
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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