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Data Streaming training courses
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This group contains JBI Training's Data Streaming courses, designed to help developers, data engineers, architects, and IT professionals build real-time data pipelines and event-driven applications using modern streaming and messaging technologies.

Courses in this group cover Apache Kafka, Apache Storm, RabbitMQ, Elasticsearch, event streaming, message brokers, stream processing, distributed messaging, real-time analytics, event-driven architectures, data ingestion, scalability, fault tolerance, and high-performance streaming solutions. Whether you're designing streaming platforms or integrating real-time data into enterprise systems, these courses provide practical, hands-on experience with today's leading data streaming technologies.

Browse the courses in this group to find the training that best matches your experience level and learning goals.

Data streaming is the continuous processing of data as it is generated, allowing organisations to analyse, transform, and react to information in real time rather than waiting for batch processing. It is widely used for applications such as fraud detection, IoT, financial transactions, monitoring, and real-time analytics.
Our Data Streaming courses cover leading technologies including Apache Kafka, RabbitMQ, Apache Storm, Elasticsearch, event-driven architectures, distributed messaging, stream processing, and real-time data integration. Individual courses focus on specific platforms as well as the principles behind modern streaming solutions.
These courses are suitable for software developers, data engineers, solution architects, DevOps engineers, cloud engineers, system administrators, and IT professionals who design, build, or maintain applications that process data in real time.
Not necessarily. We offer courses for different experience levels, from introductory training through to advanced implementation and administration. Individual course descriptions explain any recommended prerequisites.
Depending on the course you choose, you'll learn how to design event-driven systems, build scalable streaming pipelines, configure messaging platforms, process real-time data, optimise performance, improve reliability, and integrate streaming technologies into modern cloud and enterprise architectures.
Data streaming is used across many industries including finance, retail, telecommunications, healthcare, manufacturing, logistics, energy, and government. Organisations rely on streaming platforms to process live events, monitor systems, analyse customer behaviour, support IoT solutions, and deliver real-time business intelligence.

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