A Practical Introduction to Stream Processing Training Course

Confluent Apache Kafka is a distributed event streaming platform built for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led, live training (delivered online or on-site) is designed for intermediate-level system administrators and DevOps professionals who want to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

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

Course Format

• Interactive lectures and group discussions.
• Abundant exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this course, please get in touch with us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, and more.

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

• Use Kafka Connect to ingest large amounts of data from databases into Kafka topics.
• Ingest log data generated by application servers into Kafka topics.
• Make all collected data available for stream processing.
• Export data from Kafka topics into secondary systems for storage and analysis.

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 on-site) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimise 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.

Course Format

• Interactive lecture and discussion.
• Plenty of exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training (delivered online or on-site) is designed for engineers who wish 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.
• Utilise Confluent's management tools and services to streamline Kafka operations.
• Store and process incoming stream data.
• Optimise and manage Kafka clusters.
• Secure data streams.

Course Format

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

Course Customisation Options

• This course is based on the open-source version of Confluent: Confluent Open Source.
• To request a customised training arrangement for this course, please contact us.

Apache Kafka is a distributed streaming platform. It is the de facto standard for building data pipelines and addresses a wide range of data processing use cases: it can be used as a message queue, distributed log, stream processor, and more.

We'll begin with an overview of the theory behind data pipelines in general, then move on to the core concepts underpinning Kafka. We'll also explore key components such as Kafka Streams and Kafka Connect.

This course is designed for enterprise architects, developers, system administrators, and anyone seeking to understand and utilise a high-throughput distributed messaging system. If you have more specific requirements (for example, focusing solely on system administration), this course can be tailored to better suit your needs.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner-level, intermediate-level, or 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 New Zealand (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 New Zealand (online or on-site) is designed for data engineers, data scientists, and programmers who aim to leverage Apache Kafka capabilities for data streaming using Python.

By the end of this training, participants will be equipped to utilise Apache Kafka to monitor and manage conditions within continuous data streams through Python programming.

This instructor-led, live training in New Zealand (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 New Zealand (online or on-site) 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 message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka as a message queue.

This instructor-led, live training in New Zealand (online or on-site) is intended for software testers who want to integrate robust network security measures into an Apache Kafka application.

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

• Deploy Apache Kafka on a cloud-based server.
• Implement SSL encryption to mitigate potential attacks.
• Integrate ACL authentication to monitor and control user access.
• Ensure that trusted clients can securely access Kafka clusters using SSL and SASL authentication.

This training offers a hands-on introduction to building scalable data processing and Machine Learning workflows using PySpark. Participants will learn how Apache Spark functions within modern Big Data ecosystems and how to efficiently process large datasets using distributed computing principles.

In this instructor-led, live training in New Zealand, participants will learn how to combine Python and Spark to analyse big data through hands-on exercises.

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

• Learn how to use Spark with Python to analyse Big Data.
• Work on exercises that mirror real-world scenarios.
• Apply various tools and techniques for big data analysis using PySpark.

Stratio is a data-centric platform that brings together big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led, live training (available online or on-site) is designed for intermediate-level data professionals who want to effectively use the Rocket and Intelligence modules in Stratio with PySpark, with a focus on looping structures, user-defined functions, and advanced data logic.

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

• Navigate and work within the Stratio platform using the Rocket and Intelligence modules.
• Apply PySpark in the context of data ingestion, transformation, and analysis.
• Use loops and conditional logic to control data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

Course Format

• Interactive lectures and discussions.
• Plenty of exercises and hands-on practice.
• Live-lab implementation in a real-world environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.