Real-Time Analytics - Apache Kafka, Flink and Stream Processing
Training on building advanced real-time analytics pipelines that deliver immediate business insights using enterprise-wide stream processing. The program includes practical application of Apache Flink, Kafka Streams and complex event processing techniques. Participants gain hands-on experience in implementing a modern streaming architecture. The stream-first methodology ensures a complete understanding of real-time data processing principles.
Issues
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Stream processing
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Apache Flink
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Kafka Streams
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Real-time analytics
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Processing of complex events
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Time windows
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State management
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Event time processing
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Fault tolerance
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Performance tuning
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Scalability patterns
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Monitoring and alerting
Benefits
- The ability to produce immediate business insights, enabling real-time decision-making and achieving significant competitive advantage
- They will develop proactive decision-making skills through the use of advanced predictive analytics based on data streams
- They will achieve a market advantage by being able to respond much faster to dynamic changes in the business environment
- They will improve the operational efficiency of the organization by implementing advanced real-time automated monitoring systems
- They will significantly improve the customer experience by implementing personalization systems that respond immediately to user behavior
- They will optimize operational costs through efficient use of resources based on detailed real-time metrics
- They will discover new innovation opportunities by developing business models fully based on processing data streams
Who is this training for?
Prerequisites
- Participants should have solid experience in the data engineering field and a working knowledge of distributed systems
- Familiarity with the Apache Kafka platform and a deep understanding of message streaming concepts is essential
- Advanced skills in working with big data tools and popular analytical frameworks are required
- Basic knowledge of real-time systems architecture and practical performance optimization techniques are welcome
Training program
Principles of Data Mesh1. Foundations of stream processing
- Batch vs stream
- Apache Kafka basics
- Flink architecture
- Use cases
Implementation
- Streaming ingesta
- Processing patterns
- Time window strategies
- State management
analytical applications
- Real-time dashboards
- Alert systems
- ML on streams
- Processing of complex events
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Real-Time Analytics - Apache Kafka, Flink and Stream Processing training for?
The target audience includes data engineers, analysis teams, and technical architects. Level: advanced.
How long is the Real-Time Analytics - Apache Kafka, Flink and Stream Processing training?
The training lasts 3 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.