Online or onsite, instructor-led live Apache Kafka training courses demonstrate through interactive discussion and hands-on practice how to set up and operate a Kafka message broker.
Kafka training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Wisconsin onsite live Apache Kafka trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Kafka training courses cover integration of Kafka with other Big Data systems as well as how to set up real-time data pipelines for streaming applications.
NobleProg -- Your Local Training Provider
Milwaukee, WI - Downtown Milwaukee
250 E Wisconsin Ave 18th floor, Milwaukee, United States, 53202
This Regus centre is located on the 18th floor of Two‑Fifty in downtown Milwaukee, with excellent car access via I‑43 or I‑794 and secure paid underground parking within the building. From General Mitchell International Airport (MKE), take I‑94 West to I‑794, then exit onto East Wisconsin Avenue; the taxi or rideshare ride typically takes 15–20 minutes. Public transit users can use MCTS bus routes along Wisconsin Avenue or nearby stops such as Cathedral Square—followed by a short walk into the building’s lobby.
Madison, WI - Regus - Madison East - Park Bank Plaza
2810 Crossroads Dr #4000, Madison, United States, 53718
The venue occupies the 4th floor of Park Bank Plaza, a modern office tower in East Madison’s High Crossing district at 2810 Crossroads Drive. It is convenient by car via I‑90/94 and Highway 51, with secure covered parking on-site. From Dane County Regional Airport (MSN), head west on US 12/18, merge onto I‑90/94, exit at Crossroads Drive for a 15-minute taxi or rideshare ride. Metro Transit buses stop directly at Crossroads Drive; it’s just a short walk from the bus stop to the Regus entrance.
Middleton, WI - Regus - Middleton Greenway
8383 Greenway Blvd #600, Middleton, United States, 53562
The Regus centre at Middleton Greenway is situated in the award-winning Smith & Gesteland Building at 8383 Greenway Boulevard. It’s easily accessible by car via I‑90/I‑94 and Highway 51, with secure covered parking on-site and ample surface spaces. From Dane County Regional Airport (MSN), travel south on Highway 51 and merge onto I‑90/I‑94, exiting at Greenway Boulevard—taxi or rideshare typically takes about 20 minutes. Public transit users can take Metro Transit routes to the Greenway Boulevard stop just outside the building; the entrance is a short walk from the bus stop.
Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.
By the end of this training, participants will be able to:
Install, configure, and operate Confluent Kafka clusters with multiple brokers.
Design high-availability setups using Zookeeper and replication techniques.
Tune performance, monitor metrics, and apply recovery strategies.
Secure, scale, and integrate Kafka with enterprise environments.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Confluent Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data pipelines and real-time analytics.
This instructor-led, live training (online or onsite) is aimed at intermediate-level system administrators and DevOps professionals who wish to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.
By the end of this training, participants will be able to:
Understand the components and architecture of Confluent Kafka.
Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
Configure advanced features including security, replication, and performance tuning.
Use management tools to monitor and maintain Kafka clusters.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.
By the end of this training, participants will be able to:
Understand the architecture and core components of Kafka.
Set up and configure a Kafka cluster.
Produce and consume messages using Java.
Implement Kafka Streams for real-time data processing.
Ensure fault tolerance and scalability in Kafka applications.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at intermediate-level system administrators who wish to harness Kafka's message queuing features effectively.
By the end of this training, participants will be able to:
Understand Kafka's message queuing capabilities and architecture.
Configure Kafka topics for message queuing scenarios.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing.
By the end of this training, participants will be able to:
Understand Kafka topic fundamentals and architecture.
Create, configure, and manage Kafka topics.
Monitor Kafka topics for health, performance, and availability.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at intermediate-level developers who wish to learn the fundamentals of Kafka and integrate it with Spring Boot.
By the end of this training, participants will be able to:
Understand Kafka and its architecture.
Learn how to install, configure, and set up a basic Kafka environment.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.
By the end of this training, participants will be able to:
Develop Kafka producers and consumers to send and read data from Kafka.
Integrate Kafka with external systems using Kafka Connect.
Write streaming applications with Kafka Streams & ksqlDB.
Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
Gain practical experience through hands-on exercises and real-world use cases.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.
By the end of this training, participants will be able to:
Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
Ingest log data generated by an application servers into Kafka topics.
Make any collected data available for stream processing.
Export data from Kafka topics into secondary systems for storage and analysis.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications.
By the end of this training, participants will be able to:
Install and configure Confluent Platform.
Use Confluent's management tools and services to run Kafka more easily.
Store and process incoming stream data.
Optimize and manage Kafka clusters.
Secure data streams.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
This course is based on the open source version of Confluent: Confluent Open Source.
To request a customized training for this course, please contact us to arrange.
Apache Kafka is a distributed streaming platform. It is de facto a standard for building data pipelines and it solves a lot of different use-cases around data processing: it can be used as a message queue, distributed log, stream processor, etc.
We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.
In this instructor-led, live training in Wisconsin (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.
By the end of this training, participants will be able to:
Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
Understand and select the most appropriate framework for the job.
Process of data continuously, concurrently, and in a record-by-record fashion.
Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
Integrate the most appropriate stream processing library with enterprise applications and microservices.
This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot Kafka clusters.
By the end of this training, participants will be able to: explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application.
By the end of this training, participants will be able to:
Deploy Apache Kafka onto a cloud based server.
Implement SSL encryption to prevent attacks.
Add ACL authentication to track and control user access.
Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.
Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing.
In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.
By the end of this training, participants will be able to:
Understand Kafka Streams features and advantages over other stream processing frameworks
Process stream data directly within a Kafka cluster
Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
Write concise code that transforms input Kafka topics into output Kafka topics
Build, package and deploy the application
Audience
Developers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Notes
To request a customized training for this course, please contact us to arrange
This instructor-led, live training in Wisconsin (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions.
By the end of this training, participants will be able to:
Implement a data pipeline architecture for processing big data.
Develop a cluster infrastructure with Apache Mesos and Docker.
This instructor-led, live training in Wisconsin (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis.
By the end of this training, participants will be able to:
Set up the necessary development environment for building microservices.
Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
Transform monolithic and SOA services to microservice based architecture.
Adopt a DevOps approach to developing, testing and releasing software.
Ensure high concurrency among microservices in production.
Monitor microservices and implement recovery strategies.
Carry out performance tuning.
Learn about future trends in microservices architecture.
Read more...
Last Updated:
Testimonials (8)
Possibility to perform independent exercises in the training environment.
Tomasz - PKO Zycie Towarzystwo Ubezpieczen S.A.
Course - Kafka for Administrators
The trainer tried to make the most complicated topics , explain it in simpler way
Calvin Raj Antony - SICPA SA
Course - Administration of Kafka Message Queue
Could throw questions at him and he would jump to slides or example to try and show and answer all our questions
Johannes - Canon Medical Informatics Europe B.V.
Course - Administration of Kafka Topic
Very practical examples. The trainer has tried to keep a pace where everybody is able to go with even though the group was quite inhomogeneous regarding the knowhow. He has provided a lot of support to basically everybody who asked for it :)
Georgi - BMW SA
Course - Apache Kafka for Developers
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Good prepared testing envoirment
Maciej Grabski
Course - Distributed Messaging with Apache Kafka
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
I liked his pace for training, it was optimum.
Edwards Mukasa - AFRINIC Ltd.
Course - Microservices with Spring Cloud and Kafka
Online Kafka training in Wisconsin, Kafka training courses in Wisconsin, Weekend Apache Kafka courses in Wisconsin, Evening Apache Kafka training in Wisconsin, Kafka instructor-led in Wisconsin, Apache Kafka instructor in Wisconsin, Apache Kafka instructor-led in Wisconsin, Kafka classes in Wisconsin, Kafka one on one training in Wisconsin, Online Apache Kafka training in Wisconsin, Apache Kafka on-site in Wisconsin, Kafka boot camp in Wisconsin, Evening Apache Kafka courses in Wisconsin, Weekend Kafka training in Wisconsin, Kafka trainer in Wisconsin, Kafka coaching in Wisconsin, Apache Kafka private courses in Wisconsin
