Apache Kafka Streams & Ksql Training Course: Real-time Data Mastery

Introduction

Dive into the world of real-time data processing with our comprehensive Apache Kafka Streams and KSQL Training Course. This program is meticulously designed to equip you with the essential skills to effectively utilize Kafka's powerful tools for real-time data streaming and processing. In today's fast-paced digital landscape, mastering Kafka Streams and KSQL is crucial for building scalable and responsive applications that can handle high-velocity data streams. Our Kafka training course provides hands-on experience and in-depth knowledge, enabling you to extract valuable insights and drive real-time decision-making.

This Kafka Streams training delves into the core concepts of stream processing, covering topics such as stateful stream processing, windowing, and aggregations. You'll gain proficiency in using KSQL for querying and transforming data streams, enabling you to build real-time data pipelines with ease. Whether you're a data engineer, developer, or analyst, this KSQL training will empower you to leverage the full potential of Kafka's powerful tools for real-time data streaming and processing.

Target Audience:

• Data Engineers
• Software Developers
• Data Analysts
• System Architects
• DevOps Engineers
• Big Data Professionals
• Anyone needing real-time data processing skills

Course Objectives:

• Understand the fundamentals of Apache Kafka Streams and KSQL.
• Develop and deploy real-time data processing applications using Kafka Streams.
• Utilize KSQL for querying and transforming data streams.
• Implement stateful stream processing and windowing techniques.
• Perform real-time aggregations and data enrichment using Kafka Streams.
• Integrate Kafka Streams and KSQL with other data sources and sinks.
• Optimize Kafka Streams applications for performance and scalability.
• Troubleshoot and debug Kafka Streams and KSQL
• Implement fault-tolerant and resilient real-time data pipelines.
• Apply best practices for designing and developing Kafka Streams
• Understand how to monitor and manage Kafka Streams and KSQL
• Explore advanced features of KSQL for complex data transformations.
• Apply real world use cases for Kafka Streams and KSQL.

Duration

10 Days

Course content

Module 1: Introduction to Apache Kafka Streams

• Fundamentals of stream processing and Kafka Streams.
• Architecture and components of Kafka Streams.
• Developing basic Kafka Streams applications.
• Understanding key concepts like state stores and processors.
• Setting up development environment.

Module 2: Kafka Streams API Deep Dive

• Detailed exploration of the Kafka Streams API.
• Implementing data transformations and filters.
• Using key-value stores and state management.
• Handling different data formats and serialization.
• Implementing custom processors and transformers.

Module 3: State Management and Windowing

• Understanding stateful stream processing.
• Implementing windowing techniques (tumbling, hopping, sliding).
• Managing state stores and handling state migrations.
• Implementing aggregations and joins with state.
• Advanced state management techniques.

Module 4: KSQL Fundamentals

• Introduction to KSQL and its use cases.
• Querying and transforming data streams with KSQL.
• Creating streams and tables in KSQL.
• Performing data filtering and aggregations.
• Implementing joins and windowed aggregations.

Module 5: Advanced KSQL Techniques

• Advanced KSQL functions and operators.
• Implementing user-defined functions (UDFs) in KSQL.
• Using KSQL for data enrichment and transformations.
• Optimizing KSQL queries for performance.
• Implementing complex stream processing logic with KSQL.

Module 6: Kafka Streams and KSQL Integration

• Integrating Kafka Streams and KSQL in real-time pipelines.
• Using KSQL for data preprocessing and transformations.
• Implementing real-time dashboards and monitoring.
• Handling data consistency and data quality.
• Architecting combined systems.

Module 7: Kafka Streams Performance Optimization

• Optimizing Kafka Streams applications for performance.
• Tuning Kafka Streams configurations.
• Monitoring and troubleshooting performance issues.
• Implementing efficient data partitioning strategies.
• Resource management for optimal performance.

Module 8: Fault Tolerance and Resiliency

• Implementing fault-tolerant Kafka Streams applications.
• Handling data recovery and state restoration.
• Designing resilient real-time data pipelines.
• Understanding and implementing retry mechanisms.
• Implementing dead letter queues and error handling.

Module 9: Kafka Streams and External Systems

• Integrating Kafka Streams with databases and data stores.
• Connecting to external data sources and sinks.
• Implementing data ingestion and extraction.
• Handling data formats and serialization.
• Advanced connector configurations.

Module 10: KSQL and Data Governance

• Implementing data governance policies with KSQL.
• Data lineage tracking and data quality management.
• Securing sensitive data in KSQL applications.
• Compliance considerations for KSQL deployments.
• Implementing auditing and reporting.

Module 11: Real-Time Analytics with Kafka Streams

• Building real-time analytics dashboards.
• Implementing real-time alerting and monitoring.
• Utilizing Kafka Streams for anomaly detection.
• Implementing real-time decision-making systems.
• Developing real time scoring systems.

Module 12: Kafka Streams and Cloud Deployments

• Deploying Kafka Streams on cloud platforms.
• Managing cloud resources for Kafka Streams.
• Cloud-specific performance tuning.
• Security considerations for cloud deployments.
• Cost optimization for cloud based systems.

Module 13: Advanced KSQL Stream Processing

• Advanced windowing techniques in KSQL.
• Complex joins and aggregation in KSQL.
• Implementing complex data patterns.
• Advanced schema management.
• Complex event processing using KSQL.

Module 14: Kafka Streams and Machine Learning

• Integrating Kafka Streams with machine learning models.
• Implementing real-time feature engineering.
• Deploying machine learning models in Kafka Streams.
• Real time model scoring.
• Advanced techniques for streaming machine learning.

Module 15: Kafka Streams and Future Trends

• Emerging trends in Kafka Streams and KSQL.
• Integrating Kafka Streams with AI and advanced analytics.
• Advanced techniques for real time data processing.
• Advanced techniques for large language models within Kafka streams.
• Future of real time data processing.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.