Description

Duration

2 Days

12 CPD hours

This course is intended for

This in an Introductory and beyond level course is geared for experienced Java developers seeking to be proficient in Apache Kafka. Attendees should be experienced developers who are comfortable with Java, and have reasonable experience working with databases.

Overview

Working in a hands-on learning environment, students will explore
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning / Troubleshooting Kafka

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, students will learn how to use Kafka to build streaming solutions.

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, commit logs

Kafka & Zookeeper

Producing messages

Consuming messages (Consumers, 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, KStore)

KStreaming operations (transformations, filters, joins, 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, 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

Course Images

Working with Apache Kafka (for Developers) (TTDS6760)

By Nexus Human

Booking options

Highlights

Description

About The Provider

Tags

Reviews