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2021-02-06 15:11:18
30-Day Money-Back Guarantee
Business Business Analytics & Intelligence Apache Kafka

Apache Kafka Series - Kafka Streams for Data Processing

Learn the Kafka Streams API with Hands-On Examples, Learn Exactly Once, Build and Deploy Apps with Java 8
Bestseller
Rating: 4.6 out of 54.6 (3,277 ratings)
26,734 students
Created by Stephane Maarek | AWS Certified Solutions Architect & Developer Associate
Last updated 3/2021
English
Italian [Auto], Portuguese [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Write four Kafka Streams application in Java 8
  • Configure Kafka Streams to use Exactly Once Semantics
  • Scale Kafka Streams applications
  • Program with the High Level DSL of Kafka Streams
  • Build and package your application
  • Write tests for your Kafka Streams Topology
  • And so much more!
Curated for the Udemy for Business collection

Requirements

  • Good knowledge of Apache Kafka
  • A recent computer (Windows / Linux / Mac OS X) with 4GB of RAM
  • Good knowledge of Java 8 Programming Language

Description

The new volume in the Apache Kafka Series!

Learn the Kafka Streams data processing library, for Apache Kafka. Join hundreds of knowledge savvy students into learning one of the most promising data processing library on Apache Kafka.


Kafka Streams
is the easiest way to write your applications on top of Kafka:

> Easiest way to transform your data using the High Level DSL
> Exactly Once semantics support out of the box!
> Deploy and Scale your Kafka Streams application without a cluster!
> Perform Aggregations, joins, and any operations you may think of using only a few lines of code!
> Built on top of Kafka, for fault tolerance, scalability and resiliency


Instructor

Stephane Maarek is the instructor of this course. He is a Kafka Expert, and the author of the highly-rated Apache Kafka Series on Udemy, having taught already to 40000+ students and received 12000+ reviews.

He shares all his Kafka knowledge on the platform, taking the time to explain every concept and provide students with both theoretical and practical dimensions. You are in good hands!


Hands On & Theory Based Course

Note: This course is based on Java 8, and will include one example in Scala. Kafka Streams is Java based, and therefore is not suited for any other programming language. 

Each section can be either theoretical, or a practice section. 

> Through practice, you will be challenged by writing your own Kafka Streams application. The solutions will be thoroughly explained, and you will learn some tips on how to use Kafka Streams the best way.

> Through theory, you will learn about all the available API, the inner workings of the library, as well as some exciting concepts such as Exactly Once Semantics!

This course is the first and only available Kafka Streams course on the web. Get it now to become a Kafka expert!


Section outline:

  1. Kafka Streams - First Look: Let's get Kafka started and run your first Kafka Streams application, WordCount

  2. End-to-End Kafka Streams Application : Write the code for the WordCount, bring in the dependencies, build and package your application, and learn how to scale it. This is a complete end to end example

  3. KStream and KTable Simple Operations: Learn all the stateless operations available for the KStream and KTable API

  4. Practice Exercise - Favourite Colour: Practice your newly acquired skills by writing your own Kafka Streams application, Favourite Colour. It will be challenging! Includes a Scala version of the example

  5. KStream and KTable Advanced Operations: Learn all the stateful operations available for the KStream and KTable API

  6. Exactly Once Semantics - Theory: Learn what EOS (Exactly Once Semantics) is, how Kafka 0.11 enables it, and how to activate them in Kafka Streams

  7. Exactly Once - Practice Exercise - Bank Balance: Practice your newly acquired knowledge by writing your own Kafka Streams Exactly Once application, to compute a running Bank Balance for your customers

  8. Testing your Kafka Streams Application: Learn how to test the WordCount Kafka Streams Topology with Kafka Streams v1.1.0


This Course Also Comes With:

  • Lifetime Access to All Future Updates

  • A responsive instructor in the Q&A Section

  • Links to interesting articles, and lots of good code to base your next applications onto

  • Udemy Certificate of Completion Ready for Download

  • A 30 Day "No Questions Asked" Money Back Guarantee!


Learn The Hottest Kafka Data Processing Library Now!

Kafka is increasingly becoming a must-have skill, and this course will set you up for fast success using the Kafka Streams API. The job market will need people with your newly acquired skillset!

"Take This Course" risk free and learn Kafka Streams now!


Who is the target audience?

  • This course is for developers and devops who would like to learn how to write, package, deploy and run a Kafka Streams applications

  • This course is for architects who would like to understand how Kafka Streams work and its position in the Kafka-centered data pipeline and enterprise architecture

  • You will need some good understanding of Kafka before starting this course

Who this course is for:

  • Developers and devops who would like to learn how to write, package, deploy and run a Kafka Streams applications
  • Architects who would like to understand how Kafka Streams work and its position in the Kafka-centered data pipeline and enterprise architecture
  • People who fully understand the basics of Kafka
  • Java 8 and Scala developers only

Featured review

Gautam Singh
Gautam Singh
38 courses
9 reviews
Rating: 4.5 out of 5a year ago
The course was really good in providing insights on Kafka Streams and I really enjoyed it and learned from it. Some guidance on deployment strategies for Streams application would have been very helpful

Course content

11 sections • 76 lectures • 4h 50m total length

  • What is Kafka Streams?
    Preview04:46
  • Preview04:11
  • About your Instructor: Stephane Maarek
    02:20
  • Running your first Kafka Streams Application: WordCount
    Preview12:52
  • Kafka Streams vs other stream processing libraries (Spark Streaming, NiFI, Flink
    Preview03:00

  • Code Download
    00:14

  • Section Objective
    01:45
  • Kafka Streams Core Concepts
    03:28
  • Environment and IDE Setup: Java 8, Maven, IntelliJ IDEA
    04:03
  • Starter Project Setup
    07:56
  • Kafka Streams Application Properties
    07:25
  • Java 8 Lambda Functions - quick overview
    02:55
  • Preview14:07
  • Printing the Kafka Streams Topology
    01:33
  • Kafka Streams Graceful Shutdown
    02:03
  • Running Application from IntelliJ IDEA
    09:22
  • Debugging Application from IntelliJ IDEA
    04:06
  • Internal Topics for our Kafka Streams Application
    03:47
  • Packaging the application as Fat Jar & Running the Fat Jar
    04:33
  • Scaling our Application
    03:59
  • Section Wrap-Up
    01:40

  • Section Objectives
    01:14
  • KStream & KTables
    03:39
  • Stateless vs Stateful Operations
    01:41
  • MapValues / Map
    01:35
  • Filter / FilterNot
    01:22
  • FlatMapValues / FlatMap
    02:09
  • Branch
    02:45
  • SelectKey
    01:14
  • Reading from Kafka
    02:16
  • Writing to Kafka
    01:52
  • Streams Marked for Re-Partition
    02:52
  • Refresher on Log Compaction
    17:44
  • KStream and KTables Duality
    02:20
  • Transforming a KTable to a KStream
    00:41
  • Transforming a KStream to a KTable
    01:24
  • Section Summary
    00:47

  • FavouriteColour - Practice Exercise Description & Guidance
    03:20
  • Stuck? Here are some Hints!
    02:39
  • Java Solution
    08:33
  • Running the application
    05:46
  • Scala Solution
    06:20

  • Section Objective
    01:00
  • KTable groupBy
    01:46
  • KGroupedStream / KGroupedTable Count
    02:05
  • KGroupedStream / KGroupedTable Aggregate
    04:12
  • KGroupedStream / KGroupedTable Reduce
    01:40
  • KStream peek
    02:08
  • KStream Transform / TransformValues
    01:12
  • What if I want to write to an external System?
    01:40
  • Summary Diagram
    01:03

  • What's Exactly Once?
    06:07
  • Exactly Once in Kafka 0.11
    02:41
  • What's the problem with at least once anyway?
    01:29
  • How to do exactly once in Kafka Streams
    02:04

  • BankBalance - Exercise Overview
    02:14
  • Kafka Producer Guidance
    01:41
  • Kafka Producer Solution
    14:17
  • Kafka Streams Guidance & Hints
    01:54
  • Kafka Streams Solution
    09:12
  • Running the BankBalance Application
    04:42
  • Section Summary
    00:56

  • What are joins in Kafka Streams?
    02:49
  • Join Constraints and GlobalKTables
    02:53
  • The different types of joins: Inner Join, Left Join, Outer Join
    02:45
  • Creating a join with UserEnrich Kafka Streams App
    12:33
  • All the joins explained - Blog Post
    00:04
  • Running the Kafka Streams Join application
    05:07

  • Disclaimer: Advanced Lectures
    00:16
  • Testing in Kafka Streams
    04:02
  • Setup your Kafka Streams project
    03:58
  • Hands-On: Test your WordCount application
    14:28
  • Self-Guided Practice Exercises
    00:09

Instructor

Stephane Maarek | AWS Certified Solutions Architect & Developer Associate
Best Selling Instructor, Kafka Guru, 9x AWS Certified
Stephane Maarek | AWS Certified Solutions Architect & Developer Associate
  • 4.7 Instructor Rating
  • 225,232 Reviews
  • 730,505 Students
  • 38 Courses

Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Big Data, Cloud & API. He's also a many-times best seller instructor on Udemy for his courses in Apache Kafka and AWS.

[See FAQ below to see in which order you can take my courses]

Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world.

He also loves Apache Kafka. He sits on the 2019 Program Committee organizing the Kafka Summit in New York, London and San Francisco. He is also an active member of the Apache Kafka community, authoring blogs on Medium and a guest blog for Confluent.  

During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!

FAQ: In which order should you learn?...

AWS Cloud: Start with AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing. Once ready, you can learn AWS Lambda and AWS CloudFormation in depth, or do the AWS Big Data certification.

Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you're a developer, and Setup and Monitoring courses if you're an admin. Both tracks are needed to pass the Confluent Kafka certification.

gRPC: First do the protocol buffers course, then move on to gRPC Java or gRPC Golang course.


In order to share knowledge I am not able to respond to private messages on Udemy. If you're a student, please ask questions inside the course. Thanks for understanding!

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