Real-Time Data Processing Training
Level
BeginnerDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedReal-Time Data Processing Training
The “Real-Time Data Processing” training is an intensive two-day course designed to provide participants with both theoretical knowledge and practical skills necessary to design and implement systems that process data in real time. The program dedicates 80% of the time to interactive workshops and 20% to discussing key theoretical concepts. Participants will gain competencies in using modern tools and technologies for analyzing incoming data streams, which are crucial in today’s business applications, social media, network monitoring, and more.
What You Will Learn
- Understand real-time data processing architecture – learn the key concepts and technologies behind real-time data handling
- Hands-on experience with Apache Kafka – implement and use Apache Kafka for efficient real-time data transfer
- Build stream processing applications – gain practical experience developing applications with Apache Flink
- Analyze and interpret real-time data – learn to process and analyze data streams and use insights for decision-making
Who is this training for?
The training is intended for developers, data analysts, system engineers, and anyone who wants to understand and learn how to design and implement real-time data processing systems. It is ideal for those seeking skills in the latest data processing technologies to increase application performance and responsiveness.
Training Program
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Day 1: Introduction to Real-Time Data Processing
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Theory: Basics of Real-Time Data Processing
- Overview of real-time system architectures
- Differences between batch and real-time processing
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Workshop: First Steps with Apache Kafka
- Installing and configuring Apache Kafka
- Creating simple producers and consumers
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Day 2: Advanced Technologies and Practices
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Theory: Advanced Concepts in Real-Time Processing
- Overview of real-time processing tools (Apache Storm, Apache Flink)
- Introduction to stream processing and real-time analytics
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Workshop: Implementing Stream Processing
- Working with Apache Flink
- Building data stream applications
- Real-time data analysis and applying results to practical use cases
