We may earn an affiliate commission when you visit our partners.
Eugene Meidinger

Kafka can do more than just storing streaming data. This course will teach you to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams.

Read more

Kafka can do more than just storing streaming data. This course will teach you to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams.

There is plenty of value in learning how to turn Kafka into a stream analytics engine. In this course, Building ETL Pipelines from Streaming Data with Kafka and KSQL, you’ll learn to shape and transform your Kafka streaming data. First, you’ll explore how ksqlDB and Kafka Streams both solve this problem. Next, you’ll discover how to transform your streams. Finally, you’ll learn how to aggregate and enrich data. When you’re finished with this course, you’ll have the skills and knowledge of ksqlDB and Kafka Streams needed to extract insights from Kafka streaming data.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Overview
What Are ksqlDB and Kafka Streams?
Configuring ksqlDB and CLI
Deploying ksqlDB Queries
Read more
Understanding Advanced Stream Processing
Creating a Kafka Streams Application
Aggregating and Enriching Data with Kafka Streams

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on ksqlDB and Kafka Streams, making it a good fit for learners interested in deep expertise in these topics
Taught by Eugene Meidinger, an expert on the subject matter
Provides hands-on practice with ksqlDB and Kafka Streams
Builds a foundation for learners new to stream analytics
Develops expertise for experienced learners looking to enhance their knowledge of stream analytics
Covers advanced stream processing, suitable for learners with existing knowledge of stream analytics

Save this course

Save Building ETL Pipelines from Streaming Data with Kafka and ksqlDB to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building ETL Pipelines from Streaming Data with Kafka and ksqlDB with these activities:
Course Notes Organization
Improve your learning experience by organizing and reviewing your course notes.
Show steps
  • Create a system for organizing your notes
  • Regularly review and update your notes
Create a Kafka cluster and produce data
Reinforce your understanding of Kafka's core functionality by setting up a cluster and working with data.
Show steps
  • Install Kafka and create a cluster with ZooKeeper.
  • Use a command-line tool to produce data to a Kafka topic.
  • Monitor the Kafka cluster using metrics and dashboards.
Read Kafka: The Definitive Guide
Build a strong foundation in Kafka's architecture and key concepts by reviewing this reference book.
Show steps
  • Review the chapters on Kafka architecture and data model.
  • Understand the basics of Kafka Streams and ksqlDB for stream processing.
  • Explore use cases and best practices for working with Kafka in real-time data pipelines.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Study Group Discussions
Join a study group to discuss the course material and collaborate on projects.
Show steps
  • Find or create a study group
  • Regularly meet with your group to discuss the material
Complete the official Kafka Streams tutorial
Deepen your understanding of stream processing concepts by following the official Kafka Streams tutorial.
Show steps
  • Set up your development environment and create a Kafka Streams application.
  • Implement a simple data transformation pipeline using Kafka Streams.
  • Deploy and test your Kafka Streams application.
Write a blog post or article on Kafka stream processing
Consolidate your learning by creating a blog post or article that shares your insights on Kafka stream processing.
Browse courses on Technical Writing
Show steps
  • Choose a specific topic related to Kafka stream processing.
  • Research and gather information on the topic.
  • Write a well-structured and informative blog post or article.
  • Publish your blog post or article on a relevant platform.
Kafka Streams Tutorial
Solidify your understanding of Kafka Streams by following along with an official tutorial.
Show steps
  • Explore the official Apache Kafka Streams tutorial
  • Implement the code examples in your own environment
Data Visualization
Create a data visualization tool that aggregates and analyzes data from Kafka streams.
Browse courses on Data Visualization
Show steps
  • Choose a data visualization library
  • Design the visualization
  • Implement the data visualization
Participate in a Kafka hackathon
Challenge yourself and showcase your skills by participating in a Kafka hackathon.
Browse courses on Innovation
Show steps
  • Find a Kafka hackathon and register your team.
  • Develop a creative solution that leverages Kafka's capabilities.
  • Present your solução at the hackathon and compete for prizes.
Mentor junior engineers on Kafka
Share your knowledge and expertise by mentoring others in the field.
Browse courses on Mentoring
Show steps
  • Identify junior engineers who are interested in learning about Kafka.
  • Provide guidance and support on Kafka concepts and best practices.
  • Review their work and provide feedback.

Career center

Learners who complete Building ETL Pipelines from Streaming Data with Kafka and ksqlDB will develop knowledge and skills that may be useful to these careers:
Data Architect
Data Architects design, build, and maintain data management systems. They ensure that data is accessible, reliable, and secure. This course can help you build a foundation for a career as a Data Architect by teaching you how to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams. You'll also learn how to transform your streams and enrich data.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with data from a variety of sources to create data sets that can be used for analysis and decision-making. This course can help you build a foundation for a career as a Data Engineer by teaching you how to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams. You'll also learn how to transform your streams and enrich data.
Data Scientist
Data Scientists use data to solve problems and make decisions. They work with data from a variety of sources to create models that can be used to predict future outcomes. This course can help you build a foundation for a career as a Data Scientist by teaching you how to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams. You'll also learn how to transform your streams and enrich data.
Database Administrator
Database Administrators design, build, and maintain databases. They ensure that databases are accessible, reliable, and secure. This course can help you build a foundation for a career as a Database Administrator by teaching you how to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams. You'll also learn how to transform your streams and enrich data.
Software Engineer
Software Engineers design, build, and maintain software systems. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course can help you build a foundation for a career as a Software Engineer by teaching you how to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams. You'll also learn how to transform your streams and enrich data.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building ETL Pipelines from Streaming Data with Kafka and ksqlDB.
Provides a comprehensive overview of Apache Kafka, covering its architecture, key concepts, and use cases. It valuable reference for understanding the fundamentals of Kafka and how it can be used to build scalable and reliable data pipelines.
Provides a comprehensive overview of Apache Flink, with a focus on how to use it to build scalable and reliable streaming data pipelines. It would be a valuable resource for anyone who wants to learn more about Apache Flink or use it in their own projects.
Provides a comprehensive overview of statistical learning with R. It covers everything from the basics of statistical learning to advanced topics such as supervised learning and unsupervised learning.
Provides a comprehensive overview of data science from scratch. It covers everything from the basics of data science to advanced topics such as machine learning and deep learning.
Provides a comprehensive overview of applied predictive analytics. It covers everything from the basics of predictive analytics to advanced topics such as model selection and evaluation.
Provides a comprehensive overview of data-intensive text processing with MapReduce. It covers everything from the basics of MapReduce to advanced topics such as natural language processing and machine learning.
Provides a gentle introduction to Apache Kafka. It covers topics such as Kafka's architecture, key concepts, and use cases. It good starting point for developers who want to learn the basics of Kafka.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Building ETL Pipelines from Streaming Data with Kafka and ksqlDB.
Handling Streaming Data with a Kafka Cluster
Most relevant
Processing Streaming Data Using Apache Spark Structured...
Most relevant
Structured Streaming in Apache Spark 2
Most relevant
Creating a Streaming Data Pipeline With Apache Kafka
Most relevant
Conceptualizing the Processing Model for the AWS Kinesis...
Most relevant
Data Engineering using Kafka and Spark Structured...
Most relevant
Handling Streaming Data with Azure Databricks Using Spark...
Most relevant
Apache Kafka Series - Learn Apache Kafka for Beginners v3
Most relevant
Handling Streaming Data with AWS Kinesis Data Analytics...
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser