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Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures. In this lab intensive two-day course, you will learn how to use Kafka to build streaming solutions.

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March 3, 2021

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Certification

This “skills-centric” course is about 50% hands-on lab and 50% lecture, coupling the most current techniques with the soundest industry practices. In this course you will learn about:

· Overview of Streaming technologies

· Kafka concepts and architecture

· Programming using Kafka API

· Kafka Streams

· Monitoring Kafka

· Tuning / Troubleshooting Kafka

Course Curriculum

    • Fast data 00:00:00
    • Streaming architecture 00:00:00
    • Lambda architecture 00:00:00
    • Message queues 00:00:00
    • Streaming processors 00:00:00
    • Architecture 00:00:00
    • Comparing Kafka with other queue systems (JMS / MQ) 00:00:00
    • Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, commit logs 00:00:00
    • Kafka & Zookeeper 00:00:00
    • Producing messages 00:00:00
    • Consuming messages (Consumers, Consumer Groups) 00:00:00
    • Message retention 00:00:00
    • Scaling Kafka 00:00:00
    • Labs : Getting Kafka up and running; Using Kafka utilities 00:00:00
    • Configuration parameters 00:00:00
    • Producer API (Sending messages to Kafka) 00:00:00
    • Consumer API (consuming messages from Kafka) 00:00:00
    • Commits , Offsets, Seeking 00:00:00
    • Schema with Avro 00:00:00
    • Lab : Writing Kafka clients in Java; Benchmarking Producer APIs 00:00:00
    • Streams overview and architecture 00:00:00
    • Streams use cases and comparison with other platforms 00:00:00
    • Learning Kafka Streaming concepts (KStream, KTable, KStore) 00:00:00
    • KStreaming operations (transformations, filters, joins, aggregations) 00:00:00
    • Labs: Kafka Streaming labs 00:00:00
    • Hardware / Software requirements 00:00:00
    • Deploying Kafka 00:00:00
    • Configuration of brokers / topics / partitions / producers / consumers 00:00:00
    • Security: How secure Kafka cluster, and secure client communications (SASL, Kerberos) 00:00:00
    • Monitoring : monitoring tools 00:00:00
    • Capacity Planning : estimating usage and demand 00:00:00
    • Trouble shooting : failure scenarios and recovery 00:00:00
    • Monitoring Kafka 00:00:00
    • Instrumenting with Metrics library 00:00:00
    • Labs; Monitor Kafka cluster 00:00:00
    • Instrument Kafka applications and monitor their performance 00:00:00
    • Students will build an end-to-end application simulating web traffic and send metrics to Grafana. 00:00:00

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