Apache Kafka Training in Belgrade

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 engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training, available online or onsite, targets intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

• Comprehend the architecture and components of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters effectively.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Belgrade (online or onsite) is tailored for intermediate-level Java developers seeking to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

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

• Grasp 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 Belgrade (online or onsite) targets intermediate-level system administrators looking to effectively leverage Kafka's message queuing features.

By the conclusion of this training, attendees will be able to:

• Comprehend the architecture and message queuing capabilities of Kafka.
• Configure Kafka topics to suit message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka in the context of message queuing.

This guided, live training in Belgrade (online or in-person) is designed for system administrators at beginner to intermediate levels who wish to master the effective management of Kafka topics for efficient data streaming and processing.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts and architecture of Kafka topics.
• Establish, configure, and oversee Kafka topics.
• Monitor Kafka topics to ensure their health, performance, and availability.
• Apply security protocols to Kafka topics.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level developers who want to master the fundamentals of Kafka and integrate it with Spring Boot.

Upon completion of this training, participants will be able to:

• Grasp the concepts and architecture of Kafka.
• Learn how to install, configure, and establish a basic Kafka environment.
• Integrate Kafka seamlessly with Spring Boot.

This instructor-led, live training in Belgrade (online or onsite) targets 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 guided, live training in Belgrade (online or on-site) is tailored for developers aiming to integrate Apache Kafka with their current databases and applications for tasks such as processing and analysis.

Upon completion of this training, participants will be capable of:

• Utilizing Kafka Connect to load significant volumes of data from databases into Kafka topics.
• Importing log data produced by application servers into Kafka topics.
• Ensuring collected data is accessible for stream processing.
• Exporting data from Kafka topics to secondary systems for storage and analysis.

Master the implementation of comprehensive big data streaming scenarios. Gain skills in real-time data preparation and maintenance using Informatica, Edge, Kafka, and Spark. This course is applicable to software versions 10.2.1 and later.

This instructor-led, live training (available online or onsite) is designed for engineers who want to leverage 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 the Confluent Platform.
• Utilize Confluent's management tools and services to operate Kafka more efficiently.
• Store and process incoming stream data.
• Optimize and manage Kafka clusters.
• Secure data streams.

Course Format

• Interactive lectures and discussions.
• Extensive 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 customized training for this course, please contact us to arrange.

Apache Kafka is a distributed streaming platform that has become the de facto standard for building data pipelines. It addresses a wide array of data processing use cases, serving effectively as a message queue, distributed log, stream processor, and more.

We begin with an exploration of the theoretical foundations of data pipelines, followed by an in-depth look at Kafka's core concepts. Additionally, we will examine key components such as Kafka Streams and Kafka Connect.

In this instructor-led live training at Belgrade (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 designed for enterprise architects, developers, system administrators, and anyone seeking to understand and implement a high-throughput distributed messaging system. If you have specific requirements, such as focusing solely on system administration, the course can be customized to better meet your needs.

This instructor-led, live training in Belgrade (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 Belgrade (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to apply Apache Kafka features for 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 Belgrade (online or onsite) is designed for software testers who want 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 that trusted clients have access to Kafka clusters using SSL and SASL authentication.

Kafka Streams is a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Traditionally, Apache Kafka has depended on Apache Spark or Apache Storm to handle data processing between message producers and consumers. By invoking the Kafka Streams API within an application, data can be processed directly inside Kafka, eliminating the necessity to route data to a separate cluster for processing.

In this instructor-led live training, participants will learn how to integrate Kafka Streams into sample Java applications that facilitate data transfer to and from Apache Kafka for stream processing.

Upon completion of this training, participants will be able to:

• Comprehend the features and advantages of Kafka Streams compared to 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

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Notes

• To request customized training for this course, please contact us to arrange

This instructor-led, live training in Belgrade (online or onsite) is designed for data scientists who intend to use the SMACK stack to build data processing platforms for big data solutions.

Upon completion of this training, participants will be able to:

• Implement a data pipeline architecture for processing big data.
• Develop cluster infrastructure using Apache Mesos and Docker.
• Analyze data with Spark and Scala.
• Manage unstructured data with Apache Cassandra.

This instructor-led live training in Belgrade (online or onsite) targets developers who wish to shift from traditional architecture to a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

Upon completing this training, participants will be equipped to:

• Configure the essential development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem utilizing Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Migrate monolithic and SOA services into a microservice-based architecture.
• Apply DevOps principles to software development, testing, and release processes.
• Maintain high concurrency among microservices in production environments.
• Monitor microservices and establish effective recovery strategies.
• Perform performance tuning.
• Explore future trends in microservices architecture.