Apache Kafka - An Introduction
Master the fundamentals of Apache Kafka - learn stream processing, real-time data exchange, and cluster management for efficient data pipelines.
Master the fundamentals of Apache Kafka - learn stream processing, real-time data exchange, and cluster management for efficient data pipelines.
This comprehensive introduction to Apache Kafka provides essential knowledge of stream processing and real-time data analysis. Led by instructor Soheil Haddadi, the course covers Kafka's core architecture, cluster management, and practical applications. Students learn to configure Kafka clusters, manage topics and partitions, and implement stream processing applications. The curriculum balances theoretical concepts with hands-on practice, making it ideal for developers, data engineers, and IT professionals looking to enhance their data processing capabilities. The course emphasizes real-world applications and best practices for building efficient data pipelines.
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What you'll learn
Describe Apache Kafka's architecture and its components
Configure and manage Kafka clusters effectively
Implement topics, publishers, and subscribers for data exchange
Develop stream processing applications using Kafka Streams
Ensure high availability and fault tolerance in clusters
Optimize data pipeline efficiency using Kafka tools
Skills you'll gain
This course includes:
51 Minutes PreRecorded video
1 assignment, 2 discussion prompts
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There is 1 module in this course
This comprehensive course introduces learners to Apache Kafka, a powerful open-source stream processing platform. The curriculum covers core concepts and architecture of Kafka, including topics, partitions, publishers, and subscribers. Students learn practical skills in cluster configuration, data pipeline management, and stream processing applications. The course emphasizes real-world applications and includes hands-on experience with Kafka Streams for addressing modern data processing challenges.
Apache Kafka - An Introduction
Module 1 · 1 Hours to complete
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Instructor
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
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