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Suzhou, Jinghope Plaza

11/F, 11/F, Tower 2, 88 Hua Chi Street, SIP, Suzhou, China, 215021

Situated right in the core of the Suzhou industry zone, The Regus Centre is on the 11th floor of Jinghope Plaza. Jinghope Plaza is a mixed use complex comprising a high-end shopping mall, 5 star hotel and international Grade A office building. It is one of the most prestigious landmarks in the financial center of Suzhou. Advanced facilities and central location attract many Fortune 500 companies such as Nokia, Philips and 3M. Jinghope Plaza has easy access to excellent facilities and amenities in Suzhou. Metro Line 1 Times Square station is just in the basement of the complex. The high-speed train station which provides easy transportation to Shanghai and Nanjing is only a 5 minutes drive from the centre.

Jinhe Plaza

11th Floor, No. 2, 88 Huachi Street, Industrial Park, Suzhou, China, 215021

The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza provides easy access to all major core areas of Suzhou. Metro Line 1 Times Square Station is located on the basement of the building, while the High Speed ​​Rail Station to Shanghai and Nanjing is a 5-minute drive away.

Explore Our Courses

Confluent Apache Kafka: Cluster Operations and Configuration

 16 Hours

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.
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Administration of Confluent Apache Kafka

 21 Hours

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.
Read more...

Kafka Fundamentals for Java Developers

 14 Hours

This instructor-led, live training in SuZhou (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.
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Administration of Kafka Message Queue

 14 Hours

This instructor-led, live training in SuZhou (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.
  • Produce and consume messages using Kafka.
  • Monitor and manage Kafka as a message queue.
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Administration of Kafka Topic

14 Hours

This instructor-led, live training in SuZhou (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.
  • Implement security measures for Kafka topics.
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Apache Kafka and Spring Boot

 7 Hours

This instructor-led, live training in SuZhou (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.
  • Integrate Kafka with Spring Boot.
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Apache Kafka for Developers

 21 Hours

This instructor-led, live training in SuZhou (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.
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Apache Kafka Connect

 7 Hours

This instructor-led, live training in SuZhou (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.
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Building Kafka Solutions with Confluent

 14 Hours

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.
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Building Data Pipelines with Apache Kafka

 7 Hours

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.

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Distributed Messaging with Apache Kafka

 14 Hours

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.

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Kafka for Administrators

 21 Hours

This instructor-led, live training in SuZhou (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.

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Apache Kafka for Python Programmers

 7 Hours

This instructor-led, live training in SuZhou (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.

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Microservices with Spring Cloud and Kafka

 21 Hours

This instructor-led, live training in SuZhou (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...

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Testimonials (6)

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

Good prepared testing envoirment

Maciej Grabski

Course - Distributed Messaging with Apache Kafka

I liked his pace for training, it was optimum.

Edwards Mukasa - AFRINIC Ltd.

Course - Microservices with Spring Cloud and Kafka

Upcoming Courses

Apache Kafka for Python Programmers

2026-07-15 09:30
7 hours
Suzhou, Jinghope Plaza

Kafka Fundamentals for Java Developers

2026-07-29 09:30
14 hours
Jinhe Plaza

Building Data Pipelines with Apache Kafka

2026-08-12 09:30
7 hours
Suzhou, Jinghope Plaza

Building Data Pipelines with Apache Kafka

2026-08-26 09:30
7 hours
Jinhe Plaza

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