Apache Kafka is an open-source distributed event streaming platform that has become a cornerstone in the realm of big data and real-time data processing. Developed by the Apache Software Foundation, Kafka provides a highly scalable, fault-tolerant, and publish-subscribe messaging system. What sets Kafka apart is its ability to handle massive volumes of data streams in real-time, making it a preferred choice for building robust data pipelines and event-driven architectures. Its architecture is designed to allow seamless communication between different systems, enabling efficient data transfer and processing. Kafka's use cases range from real-time analytics, monitoring, and logging to building scalable and resilient applications in industries like finance, e-commerce, and telecommunications. With its strong durability guarantees and scalability, Apache Kafka has emerged as a crucial tool for organizations aiming to harness the power of streaming data in today's fast-paced and data-driven world.

Aarush IT stands as a leading provider of Apache Kafka online training, offering comprehensive courses designed to empower individuals and organizations with the skills needed to effectively utilize this powerful event streaming platform. Their training programs cover the fundamentals of Kafka architecture, messaging concepts, and the practical aspects of building scalable and resilient data pipelines. With experienced instructors and hands-on exercises, Aarush IT ensures that participants gain practical insights into deploying and managing Kafka clusters, understanding its key components, and optimizing its performance. Whether for developers, data engineers, or IT professionals, Aarush IT's Apache Kafka online training equips learners with the knowledge and expertise necessary to harness the full potential of this cutting-edge technology in the evolving landscape of data processing and real-time analytics.

Apache Kafka Online Training Course Content

Pre-requisites:

• Good knowledge on Linux Operating system
• Basic knowledge on how a messaging product works

Target Audience:

• People who are working professional and looking for a change to boost career with bigdata injection tools

Module 1: Introduction of kafka

• What is Apache Kafka
• Kafka Features and terminologies
• High-level kafka architecture
• Real-life Kafka Case Studies

Module 2: Kafka components - Theory

• Broker
• Zookeeper
• Topics
• Partition
• Replication factor
• Producer
• Consumer

Module 3: KafkaInstallation

• Pre-requisites and Environment setup
• Code download
• Single broker installation
• Zookeeper configuration and setup
• Kafka server configuration and setup

Module 4: Kafka Command Line Interface (CLI)

• Topics
• Replication factor
• Partitions
• Console Producer
• Console Consumer
• Console Consumer Groups

Module 5: Advanced Topics configuration

• Changing a topic configuration
• Segment and Indexes
• Log Cleanup policies
• Log Cleanup Delete
• Log compaction
• min.insync.replicas
• Unclean leader Election

Module 6: Kafka Multi Node cluster setup

Part 1: Zookeeper Quorum setup

• What is a zookeeper ?
• Zookeeper role in kafka cluster
• Zookeeper Quorum sizing
• Zookeeper configuration

Part 2: Broker Clustersetup

• Introduction and Architecture
• Kafka cluster size discussion
• Kafka Configuration
• Kafka Multi-broker setup

Module 7: Kafka Performance

• Disk (I/O)
• Network
• RAM
• CPU
• OS (Operating System)

Module 8: CMAK (Cluster Management for Apache Kafka)

• What is a Kafka Manager
• Managing Kafka with Kafka Manager
• Advantages of Kafka Manager

Module 9: Kafka Cluster upgrade

• Zero copy
• Up / Down conversions in Kafka
• Kafka Upgrade from 1.x to 2.x

Module 10: Kafka Security

• Kafka Broker vs Kafka Client
• Need of security encryption in Kafka
• SSL/TLS– setup
• Broker side setup
• Client-side setup
• Enabling Data encryption in between Kafka client and Broker