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Apache Kafka Series – Kafka Streams for Data Processing

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Apache Kafka Series – Kafka Streams for Data Processing, available at $109.99, has an average rating of 4.56, with 78 lectures, based on 5959 reviews, and has 54310 subscribers.

You will learn about 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! This course is ideal for individuals who are Developers and devops who would like to learn how to write, package, deploy and run a Kafka Streams applications or Architects who would like to understand how Kafka Streams work and its position in the Kafka-centered data pipeline and enterprise architecture or People who fully understand the basics of Kafka or Java 8 and Scala developers only It is particularly useful for Developers and devops who would like to learn how to write, package, deploy and run a Kafka Streams applications or Architects who would like to understand how Kafka Streams work and its position in the Kafka-centered data pipeline and enterprise architecture or People who fully understand the basics of Kafka or Java 8 and Scala developers only.

Enroll now: Apache Kafka Series – Kafka Streams for Data Processing

Summary

Title: Apache Kafka Series – Kafka Streams for Data Processing

Price: $109.99

Average Rating: 4.56

Number of Lectures: 78

Number of Published Lectures: 76

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 76

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will 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!

Who Should Attend

  • 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

Target Audiences

  • 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

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 Streamsis 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

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


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Instructor

My name is Stephane Maarek, and I’ll be your instructor in this course. I teach about Apache Kafka, the Kafka ecosystem and Kafka Certifications with my focus always on helping my students improve their professional proficiencies. I am also the co-founder of Conduktor: an enterprise Apache Kafka platform & UI to help everyone use Kafka.

Throughout my career in designing and delivering these certifications and courses, I have already taught 1,000,000+ students and gotten 350,000+ reviews!

With Apache Kafka becoming much more than a buzzword out there, I’ve decided it’s time for students to properly learn how to be a Kafka professional. So, let’s kick start the course! You are in good hands!

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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

This is the course that could improve your career!

Apache Kafka is a skill in high demand and there are not enough people to fulfill all the open positions. You can boost your income, take on new roles and fun challenges. Many of my students are now the Kafka experts of their companies! You can be the next!

I hope to see you inside the course!

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Note:Looking for more advanced Kafka concepts? There are many volumes in the Apache Kafka Series:

  • Learn Kafka for Beginners v2 (great to start)

  • Kafka Connect Hands On Learning

  • Kafka Streams for Data Processing

  • KSQL on ksqlDB – Hands On!

  • Kafka Cluster Setup & Administration

  • Confluent Schema Registry & Kafka REST Proxy

  • Kafka Security (SSL SASL ACL)

  • Kafka Monitoring and Operations

Happy learning!

Course Curriculum

Chapter 1: Kafka Streams – First Look

Lecture 1: What is Kafka Streams?

Lecture 2: Course Objective / Prerequisites / Target Students

Lecture 3: About your Instructor: Stephane Maarek

Lecture 4: Running your first Kafka Streams Application: WordCount

Lecture 5: Kafka Streams vs other stream processing libraries (Spark Streaming, NiFI, Flink

Chapter 2: Code Download

Lecture 1: Code Download

Chapter 3: End to End Kafka Streams Application – Word Count

Lecture 1: Section Objective

Lecture 2: Kafka Streams Core Concepts

Lecture 3: Environment and IDE Setup: Java 8, Maven, IntelliJ IDEA

Lecture 4: Starter Project Setup

Lecture 5: Kafka Streams Application Properties

Lecture 6: Java 8 Lambda Functions – quick overview

Lecture 7: Word Count Application Topology

Lecture 8: Printing the Kafka Streams Topology

Lecture 9: Kafka Streams Graceful Shutdown

Lecture 10: Running Application from IntelliJ IDEA

Lecture 11: Debugging Application from IntelliJ IDEA

Lecture 12: Internal Topics for our Kafka Streams Application

Lecture 13: Packaging the application as Fat Jar & Running the Fat Jar

Lecture 14: Scaling our Application

Lecture 15: Section Wrap-Up

Chapter 4: KStreams and KTables Simple Operations (Stateless)

Lecture 1: Section Objectives

Lecture 2: KStream & KTables

Lecture 3: Stateless vs Stateful Operations

Lecture 4: MapValues / Map

Lecture 5: Filter / FilterNot

Lecture 6: FlatMapValues / FlatMap

Lecture 7: Branch

Lecture 8: SelectKey

Lecture 9: Reading from Kafka

Lecture 10: Writing to Kafka

Lecture 11: Streams Marked for Re-Partition

Lecture 12: Refresher on Log Compaction

Lecture 13: KStream and KTables Duality

Lecture 14: Transforming a KTable to a KStream

Lecture 15: Transforming a KStream to a KTable

Lecture 16: Section Summary

Chapter 5: Practice Exercise – FavouriteColour

Lecture 1: FavouriteColour – Practice Exercise Description & Guidance

Lecture 2: Stuck? Here are some Hints!

Lecture 3: Java Solution

Lecture 4: Running the application

Lecture 5: Scala Solution

Chapter 6: KStreams and KTables Advanced Operations (Stateful)

Lecture 1: Section Objective

Lecture 2: KTable groupBy

Lecture 3: KGroupedStream / KGroupedTable Count

Lecture 4: KGroupedStream / KGroupedTable Aggregate

Lecture 5: KGroupedStream / KGroupedTable Reduce

Lecture 6: KStream peek

Lecture 7: KStream Transform / TransformValues

Lecture 8: What if I want to write to an external System?

Lecture 9: Summary Diagram

Chapter 7: Exactly Once Semantics – Theory

Lecture 1: What's Exactly Once?

Lecture 2: Exactly Once in Kafka 0.11

Lecture 3: What's the problem with at least once anyway?

Lecture 4: How to do exactly once in Kafka Streams

Chapter 8: Exactly Once Semantics – Practice Exercise – BankBalance

Lecture 1: BankBalance – Exercise Overview

Lecture 2: Kafka Producer Guidance

Lecture 3: Kafka Producer Solution

Lecture 4: Kafka Streams Guidance & Hints

Lecture 5: Kafka Streams Solution

Lecture 6: Running the BankBalance Application

Lecture 7: Section Summary

Chapter 9: Joins – KStream to GlobalKTable example

Lecture 1: What are joins in Kafka Streams?

Lecture 2: Join Constraints and GlobalKTables

Lecture 3: The different types of joins: Inner Join, Left Join, Outer Join

Lecture 4: Creating a join with UserEnrich Kafka Streams App

Lecture 5: All the joins explained – Blog Post

Lecture 6: Running the Kafka Streams Join application

Chapter 10: Testing your Kafka Streams Application

Lecture 1: Disclaimer: Advanced Lectures

Lecture 2: Testing in Kafka Streams

Lecture 3: Setup your Kafka Streams project

Lecture 4: Hands-On: Test your WordCount application

Lecture 5: Self-Guided Practice Exercises

Chapter 11: Next Steps

Lecture 1: Congratulations and next steps

Lecture 2: THANK YOU!

Lecture 3: Bonus Lecture

Instructors

Rating Distribution

  • 1 stars: 38 votes
  • 2 stars: 69 votes
  • 3 stars: 414 votes
  • 4 stars: 2091 votes
  • 5 stars: 3347 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


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