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Kafka

Price
2,100 USD
3
EJBD-110
Classroom Training, Online Training
Apache Training and Certification - 0

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Course Description

Overview

This course will teach Apache Kafka – a popular distributed messaging system. We will cover streaming.
 

Objectives

During the Kafka course, students will learn:
  • Streaming technologies and architecture
  • Kafka concepts and architecture
  • Programming using Kafka API
  • Kafka Streams API
  • Kafka Connect
  • KSQL
  • Monitoring Kafka
  • Tuning / Troubleshooting Kafka
  • Best practices
  • Use cases

Audience

Developers, Architects
 

Prerequisites

    • Recommended: Comfortable with Java programming language and Java development tools (Eclipse, Maven) – programming exercises are in Java
    • Nice to have: Comfortable in Linux environment (be able to navigate Linux command line, run commands)

Topics

Introduction to Streaming Systems
  • Understanding Fast data
  • Streaming terminologies
  • Understanding at-least-once / at-most-once / exactly-once processing patterns
  • Popular streaming architectures
  • Lambda architecture
  • Streaming platforms overview
Introducing Kafka
  • Comparing Kafka with other queue systems (JMS / MQ)
  • Kafka Architecture
  • Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, commit logs
  • Kafka & Zookeeper
  • Producing messages
  • Consuming messages
  • Consumers, Consumer Groups
  • Message retention
  • Scaling Kafka
  • Labs : Getting Kafka up and running; Using Kafka utilities
Using Kafka APIs
  • Commits, Offset
  • Configuration parameters
  • Producer API – sending messages to Kafka
  • Consumer API – consuming messages from Kafka
  • Producer send modes
  • Message compression
  • s, Seeking
  • Managing offsets – auto-commit / manual commit
  • Labs : Writing Produc; Clickstream processing hemes; Managing offsets
Kafka Streams API
  • Introduction to Kafka Streams library
  • Features and design
  • Streams concepts : KStream / KTable / KStore
  • Streaming operations (transformations, filters, joins, aggregations)
  • Using Streams API : foreach / filter / map / groupby
  • Labs: Kafka Streaming APIs
Monitoring and Instrumenting Kafka
  • Monitoring Kafka metrics
  • Introduction to Metrics library
  • Instrumenting Kafka applications with the Metrics library
  • Using Grafana to visualize metrics
  • Labs: Monitor Kafka cluster; Instrument Kafka applications with the metrics library
Confluent Kafka Platform
  • Introduction to Confluent platform
  • KSQL
  • KSQLdb
  • Avro Schema Registry
Kafka Connect
  • Connect ecosystem
  • Popular connectors
  • Sample configurations
Kafka Best Practices
  • Avoiding common mistakes
  • Hardware selection
  • Cluster sizing
  • Partition sizing
  • Zookeeper settings
  • Compression and batching
  • Message sizing
  • Monitoring and instrumenting
  • Troubleshooting
Kafka Case Studies
  • This section will feature case studies from various companies using Kafka solve real world problems.
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