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DEMO - Kafka Essential Training
DEMO - Kafka Essential Training Big Data Courses |
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Superadmin | 31.05.17 | 554 | No Rating | |
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Developed at LinkedIn, Apache Kafka is a distributed streaming platform that provides scalable, high-throughput messaging systems in place of traditional messaging systems like JMS. In this course, examine all the core concepts of Kafka. Ben Sullins kicks off the course by making the case for Kafka, and explaining who's using this efficient platform and why. He then shares Kafka workflows to provide context for core concepts, explains how to install and test Kafka locally, and dives into real-world examples. By the end of this course, you'll be prepared to achieve scalability, fault tolerance, and durability with Apache Kafka. Topics include: Understanding the Kafka log Creating topics Partitioning topics across brokers Installing and testing Kafka locally Sending and receiving messages Setting up a multibroker cluster Testing fault tolerance Introduction Welcome What you should know Exercise files 1. Why Use Kafka? ETL is dead. Long live streams. Who is using Kafka and how? What is the log? Efficiency and implication 2. Core Concepts Architecture Topics and brokers Producers Consumers 3. Workflows Hardware specs Typical operational tasks Monitor in Kafka Audit in Kafka 4. Installing and Testing Kafka Locally Kafka local installation Create topics Send and receive messages 5. Real-World Examples Set up a multibroker cluster Test fault-tolerance Import and export data Stream data processing 6. Distributions and Packaging Major vendor options Confluent Conclusion Next steps |
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