ratings
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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Last Updated
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
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- 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
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- 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
- 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
- Students will build an end-to-end application simulating web traffic and send metrics to Grafana. 00:00:00
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ashar hafeez
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Pak
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