Confluent Developer Skills for Apache Kafka®
The lessons and activities in this course enable participants to build the skills to write Producers and Consumers, integrate Kafka with external systems using Kafka Connect, write streaming applications with Kafka Streams & ksqlDB, and integrate a Kafka client application with Confluent Cloud. Hands-on lab exercises follow the story of building and upgrading a driver location app, applying concepts directly to a working application. Exercises are available in Java, C# and Python.
Ce que vous allez apprendre
- Write Producers and Consumers to send data to 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
Prérequis
- Familiarity with developing professional apps in Java (preferred), C#, or Python.
- A working knowledge of the Apache Kafka architecture, either through prior experience or by taking the Confluent Fundamentals for Apache Kafka course.
Public cible
- Application developers and architects who want to write applications that interact with Apache Kafka.
Programme de la Formation
9 modules pour maîtriser les fondamentaux
Sujets abordés
- →Write code to connect to a Kafka cluster
- →Distinguish between leaders and followers and work with replicas
- →Explain what a segment is and explore retention
- →Use the CLI to work with topics, producers, and consumers
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Prochaines sessions
Former plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance