Charlotte, NC – City Center

525 North Tryon Street, Suite 1600, Charlotte, United States, 28202

The venue is located in Uptown Charlotte’s City Center district at 525 North Tryon Street, easily reachable by car via I‑77, I‑85, or I‑277, with access to adjacent parking garages connected via pedestrian skywalks. From Charlotte Douglas International Airport (CLT), roughly 10 miles southwest, a taxi or rideshare takes approximately 15–20 minutes via I‑485, I‑77 North, then Trade Street. Public transit is convenient: the Lynx Blue Line light rail stops at 9th Street station two blocks away, and multiple CATS bus routes travel along Tryon and Trade streets—making it accessible for participants without cars.

Cary, NC – Regus at Regency Parkway

2500 Regency Pkwy, Cary, United States, 27518

The venue sits within the Regency Park campus at 2500 Regency Parkway, conveniently accessible by car via US 1/US 64 and I‑40, with free on-site parking and adjacent lots. From Raleigh–Durham International Airport (RDU), about 15 miles northwest, taxis or rideshares typically take 20–25 minutes via US 64 East. Public transit users can use GoCary and GoRaleigh bus routes; Cary Station is about 0.8 miles away, offering access via regional transport followed by a short walk or quick rideshare to the building.

Chapel Hill, NC – Regus at Environ Way

1340 Environ Way, Chapel Hill, United States, 27517

The venue is situated on Environ Way in Chapel Hill’s sustainably designed office park, easily reached by car via US‑15‑501 and NC‑54, with ample on-site and municipal lot parking. From Raleigh–Durham International Airport (RDU), approximately 12 miles northwest, taxis or rideshares typically take 20–25 minutes via I‑40 East and US‑15‑501 South. Public transit is convenient: Chapel Hill Transit buses stop nearby on East Franklin Street, and UNC’s campus is a short walk away—making the location ideal for attendees without cars.

Durham, NC – Regus at Shannon Road

3511 Shannon Road, 3rd Floor, Durham, United States, 27707

The venue is situated in a suburban business park with easy car access via I‑40 and NC‑147, and offers ample on-site parking. From Raleigh-Durham International Airport (RDU), about 7 miles northwest, taxis or rideshares typically take 15–20 minutes via I‑40 East. Public transit options include GoDurham and GoTriangle bus routes that serve nearby Shannon and Cornwallis Roads, with a short walk to the building entrance.

Raleigh, NC – Regus at Raleigh City Plaza

421 Fayetteville Street, Plaza Downtown, Suite 1100, Raleigh, United States, 27601

The venue is located in downtown Raleigh within the One City Plaza tower on Fayetteville Street, easily accessible by car via I‑40 or I‑440, with several public parking garages within a block. From Raleigh‑Durham International Airport (RDU), approximately 17 miles west, taxis or rideshares typically take 20–25 minutes via I‑40 East. For attendees using public transit, GoRaleigh bus routes stop on Fayetteville and Salisbury Streets directly in front of One City Plaza, offering convenient walkable access to the building.

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 for government. 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. - Extensive exercises and practice sessions. - 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, suitable for government applications requiring robust data management solutions.

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 for government use.

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 in a secure environment.
  • Configure advanced features including security, replication, and performance tuning to meet government standards.
  • Use management tools to monitor and maintain Kafka clusters effectively.

Format of the Course

  • Interactive lecture and discussion tailored to public sector workflows.
  • Lots of exercises and practice relevant to government operations.
  • Hands-on implementation in a live-lab environment simulating government scenarios.

Course Customization Options

  • To request a customized training for this course, tailored to specific government needs, please contact us to arrange.
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Kafka Fundamentals for Java Developers

 14 Hours
This instructor-led, live training (online or onsite) is designed for intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging. This training is particularly relevant for government agencies looking to enhance their data processing capabilities. 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 for government use.
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Administration of Kafka Message Queue

 14 Hours
This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level system administrators who wish to effectively leverage Kafka's message queuing features. By the end of this training, participants will be able to: - Understand Kafka’s message queuing capabilities and architecture. - Configure Kafka topics for various message queuing scenarios. - Produce and consume messages using Kafka. - Monitor and manage Kafka as a message queue, ensuring optimal performance and reliability for government applications.
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Administration of Kafka Topic

14 Hours
This instructor-led, live training in [location] (online or onsite) is designed for government system administrators at the beginner to intermediate level 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 the fundamentals and architecture of Kafka topics. - Create, configure, and manage Kafka topics. - Monitor Kafka topics to ensure health, performance, and availability. - Implement security measures for government Kafka topics.
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Apache Kafka and Spring Boot

 7 Hours
This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level developers who wish to learn the fundamentals of Apache Kafka and integrate it with Spring Boot for government applications. 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 to enhance data processing capabilities for government workflows.
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Apache Kafka for Developers

 21 Hours
This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka for government. 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 and 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 relevant to public sector workflows.
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Apache Kafka Connect

 7 Hours
This instructor-led, live training in North Carolina (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc., specifically for government projects. By the end of this training, participants will be able to: - Utilize Kafka Connect to efficiently ingest large volumes of data from a database into Kafka topics. - Integrate log data generated by application servers into Kafka topics. - Ensure that any collected data is readily available for stream processing. - Export data from Kafka topics into secondary systems for storage and analysis, enhancing data management capabilities for government operations.
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Big Data Streaming for Developers

 14 Hours
This training program is designed to equip participants with the skills necessary to implement end-to-end big data streaming use cases for government. It focuses on real-time data preparation and maintenance using Informatica, Edge, Kafka, and Spark. The curriculum covers software versions 10.2.1 and later, ensuring that attendees are well-versed in the latest tools and techniques essential for efficient data management and processing in a governmental context.
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Building Kafka Solutions with Confluent

 14 Hours

This instructor-led, live training (online or onsite) is designed for engineers who wish to use Confluent, a distribution of Kafka, to build and manage a real-time data processing platform for government applications.

By the end of this training, participants will be able to:

  • Install and configure the Confluent Platform.
  • Utilize Confluent's management tools and services to simplify Kafka operations.
  • Store and process incoming stream data efficiently.
  • Optimize and manage Kafka clusters effectively.
  • Ensure the security of data streams.

Format of the Course

  • Interactive lectures and discussions.
  • Extensive exercises and practice sessions.
  • 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 government, please contact us to arrange.
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Building Data Pipelines with Apache Kafka

 7 Hours
Apache Kafka is a distributed streaming platform that has become the de facto standard for constructing data pipelines. It addresses a wide array of use cases related to data processing, including its function as a message queue, distributed log, and stream processor. This overview will begin with an exploration of the theoretical foundations of data pipelines in general, followed by a detailed examination of the core concepts underlying Kafka. Additionally, we will delve into key components such as Kafka Streams and Kafka Connect, which are essential for government agencies and other organizations looking to leverage advanced data processing capabilities.
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A Practical Introduction to Stream Processing

 21 Hours
In this instructor-led, live training in North Carolina (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems and related software applications and microservices for government. By the end of this training, participants will be able to: - Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streams. - Understand and select the most appropriate framework for specific tasks. - Process data continuously, concurrently, and on a record-by-record basis. - Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc., ensuring seamless integration within government systems. - Choose and integrate the most suitable stream processing library with enterprise applications and microservices for government.
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Distributed Messaging with Apache Kafka

 14 Hours
This course is designed for government enterprise architects, developers, system administrators, and other professionals seeking to understand and utilize a high-throughput distributed messaging system. The content can be customized to address specific requirements, such as focusing solely on the system administration aspects, to better align with the unique needs of your agency or department.
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Kafka for Administrators

 21 Hours
This instructor-led, live training (offered online or onsite) is designed for system administrators who wish to set up, deploy, manage, and optimize an enterprise-grade Kafka cluster for government use. By the end of this training, participants will be able to: - Set up and administer a Kafka Cluster. - Evaluate the advantages and disadvantages of deploying Kafka on-premise versus in the cloud. - Deploy and monitor Kafka using various tools in both on-premise and cloud environments.
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Apache Kafka for Python Programmers

 7 Hours

This instructor-led, live training in North Carolina (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to leverage Apache Kafka features for data streaming with Python.

By the end of this training, participants will be able to utilize Apache Kafka to monitor and manage conditions in continuous data streams using Python programming, ensuring alignment with public sector workflows for government.

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Security for Apache Kafka

 7 Hours
This instructor-led, live training in North Carolina (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application for government use. 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 using SSL and SASL authentication.
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Stream Processing with Kafka Streams

 7 Hours
Kafka Streams is a client-side library designed for building applications and microservices that process data within the Kafka messaging system. Traditionally, Apache Kafka has relied on external systems like Apache Spark or Apache Storm for data processing between producers and consumers. By integrating the Kafka Streams API directly into an application, data can be processed efficiently within Kafka, eliminating the need to send it to a separate cluster. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into Java applications that handle data streaming to and from Apache Kafka. By the end of this training, participants will be able to: - Understand the features and advantages of Kafka Streams over other stream processing frameworks. - Process stream data directly within a Kafka cluster. - Develop a Java or Scala application or microservice that integrates with Kafka and Kafka Streams. - Write concise code to transform 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 extensive hands-on practice **Notes** - To request a customized training for government or other organizations, please contact us to arrange.
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SMACK Stack for Data Science

 14 Hours
This instructor-led, live training in North Carolina (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for government. By the end of this training, participants will be able to: - Implement a data pipeline architecture suitable for processing large-scale data. - Develop a cluster infrastructure using Apache Mesos and Docker. - Analyze data effectively with Spark and Scala. - Manage unstructured data efficiently with Apache Cassandra.
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Microservices with Spring Cloud and Kafka

 21 Hours
This instructor-led, live training (conducted either online or on-site) is designed for government 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 for government. - Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker, and Kubernetes. - Transform monolithic and SOA services into microservice-based architecture. - Adopt a DevOps approach to developing, testing, and releasing software for government applications. - Ensure high concurrency among microservices in production environments. - Monitor microservices and implement recovery strategies for optimal performance. - Conduct performance tuning to meet the stringent demands of public sector workflows. - Gain insights into future trends in microservices architecture relevant to government operations.
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Testimonials (9)

the deploy of Kafka and zookeeper was very useful to understand the problem perhaps to check the config files would be also useful for next trainings

Bolivar Alvarez - 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

The labs and the slides combine well with Jorge's knowledge and love for Kafka.

Willem - BMW SA

Course - Apache Kafka for Developers

very interactive...

Richard Langford

Course - SMACK Stack for Data Science

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

Grate skills, examples, very good exercises

Marek Konieczny - G2A.COM Limited

Course - Kafka for Administrators

That every topic was an extension of the previous. The trainer was very nice and helpful.

Pavel Ignatov - Pejsejf B"lgaria EOOD

Course - Microservices with Spring Cloud and Kafka

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.

Course - Building Stream Processing Applications with Kafka Streams

Informative and had correct level of detail I believe.

Asif Akhtar

Course - Distributed Messaging with Apache Kafka

Upcoming Courses

Apache Kafka for Developers

2026-04-27 09:30
21 hours
Cary, NC – Regus at Regency Parkway
$ 4054 (Online)
$ 5854 (Classroom)

A Practical Introduction to Stream Processing

2026-05-11 09:30
21 hours
Chapel Hill, NC – Regus at Environ Way
$ 4054 (Online)
$ 5854 (Classroom)

Confluent Apache Kafka: Cluster Operations and Configuration

2026-05-25 09:30
16 hours
Cary, NC – Regus at Regency Parkway
$ 4054 (Online)
$ 5254 (Classroom)

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