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Working with Apache Kafka
Code:
TTDSKFKA2
Duration:
2 Day
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$1895
USD
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Apache Kafka is a real-time data pipeline processor. Its scalable, fault tolerance, has high execution speeds with fluid integrations are some of the key hallmarks that make Kafka an integral part of many Enterprise Data architectures. In this lab intensive two day course, you will learn how to use Kafka to build streaming solutions.
This course is available in the following formats:
Duration: 2 Day
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Delivery Format: Virtual Classroom
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$ 1895 |
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Delivery Format: Virtual Classroom
|
$ 1895 |
|
|
Delivery Format: Virtual Classroom
|
$ 1895 |
Join an engaging hands-on learning environment, where youll explore:
- Overview of Streaming technologies
- Kafka concepts and architecture
- Programming using Kafka API
- Kafka Streams
- Monitoring Kafka
- Tuning/Troubleshooting Kafka
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
Introduction to Streaming Systems
- Fast data
- Streaming architecture
- Lambda architecture
- Message queues
- Streaming processors
Introduction to Kafka
- Architecture
- Comparing Kafka with other queue systems (JMS / MQ)
- Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, and commit logs
- Kafka and Zookeeper
- Producing messages
- Consuming messages (Consumers and Consumer Groups)
- Message retention
- Scaling Kafka
Programming With Kafka
- Configuration parameters
- Producer API (Sending messages to Kafka)
- Consumer API (consuming messages from Kafka)
- Commits, Offsets, Seeking
- Schema with Avro
Kafka Streams
- Streams overview and architecture
- Streams use cases and comparison with other platforms
- Learning Kafka Streaming concepts (KStream, KTable, and KStore)
- KStreaming operations (transformations, filters, joins, and aggregations)
Administering Kafka
- Hardware/Software requirements
- Deploying Kafka
- Configuration of brokers/topics/partitions/producers/consumers
- Security: How secure Kafka cluster, and secure client communications (SASL and Kerberos)
- Monitoring: monitoring tools
- Capacity Planning: estimating usage and demand
- Trouble shooting: failure scenarios and recovery
Monitoring and Instrumenting Kafka
- Monitoring Kafka
- Instrumenting with Metrics library
- Instrument Kafka applications and monitor their performance