Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

In-Person Training
Professional Kafka development

Jesse Anderson (Big Data Institute)
Monday, March 25 & Tuesday, March 26, 9:00am - 5:00pm
Secondary topics:  Streaming, realtime analytics, and IoT
Average rating: ***..
(3.00, 1 rating)

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Tuesday.

Jesse Anderson leads a deep dive into Apache Kafka. You'll learn how Kafka works and how to create real-time systems with it. You'll also discover how to create consumers and publishers in Kafka and how to use Kafka Streams, Kafka Connect, and KSQL as you explore the Kafka ecosystem.

What you'll learn, and how you can apply it

  • Learn how to create large-scale real-time systems using Apache Kafka
  • Understand how real-time distributed systems are different from batch systems
  • Learn how to create Kafka producers and consumers
  • Discover how to use Apache Avro with Kafka for truly enterprise-grade solutions
  • Learn how to use Kafka Streams to create data pipelines
  • Understand how to configure Kafka Connect to put data into and take out of Kafka
  • Find out how to use your existing SQL skills with KSQL
  • Explore best practices and common architectural patterns when creating solutions with Kafka

This training is for you because...

  • You're a software engineer, data engineer, or data scientist.

Prerequisites:

  • A working knowledge of programming in Java
  • A basic understanding of big data technologies (useful but not required)

Hardware and/or installation requirements:

  • A laptop (at least 3 GB of free RAM, 10 GB of free disk space, and a 64-bit processor with VT-X enabled) with VirtualBox installed

Jesse Anderson leads a deep dive into Apache Kafka. You’ll learn how Kafka works and how to create real-time systems with it. You’ll also discover how to create consumers and publishers in Kafka and how to use Kafka Streams, Kafka Connect, and KSQL as you explore the Kafka ecosystem.

Outline

Day 1

Data at scale

  • Data movement concepts
  • Moving data at scale

Kafka concepts

  • Kafka system
  • Basic concepts
  • Advanced concepts

Developing with Kafka

  • Using Apache Maven
  • Kafka APIs
  • Kafka API caveats

Advanced Kafka development

  • Advanced consumers and producers
  • Advanced offset handling
  • Transactions
  • Multithreading consumers

Day 2

Kafka and Avro

  • Why serialize
  • Avro and serialization formats

Kafka Connect

  • Using Kafka Connect
  • Importing from JDBC
  • Exporting to HDFS

Kafka Streams

  • Kafka Streams
  • The Kafka Streams API

KSQL

  • Using KSQL

Wrap-up and Q&A

About your instructor

Photo of Jesse Anderson

Jesse Anderson is a data engineer, creative engineer, and managing director of the Big Data Institute. Jesse trains employees on big data—including cutting-edge technology like Apache Kafka, Apache Hadoop, and Apache Spark. He has taught thousands of students at companies ranging from startups to Fortune 100 companies the skills to become data engineers. He’s widely regarded as an expert in the field and recognized for his novel teaching practices. Jesse is published by O’Reilly and Pragmatic Programmers and has been covered in such prestigious media outlets as the Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. You can learn more about Jesse at Jesse-Anderson.com.

Twitter for jessetanderson

Conference registration

Get the Platinum pass or the Training pass to add this course to your package.

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Comments

Picture of Jesse Anderson
Jesse Anderson | MANAGING DIRECTOR
11/27/2018 1:21am PST

You’ll need an intermediate level of Java knowledge. The Kafka API won’t push your knowledge of Java. As long you know how to program, you should be to at least understand the code and system creation.

Diego Labrador | DATA ARCHITECT
11/27/2018 1:13am PST

Hi, can you please be more specific about the java level needed to really take the best of this training?

Regards