The Apache Kafka Certification Training Course is designed to provide learners with a comprehensive understanding of real-time data streaming using Apache Kafka. This course is ideal for data engineers, software developers, and big data professionals looking to master distributed messaging systems and real-time data pipelines with Kafka. Achieving this certification enhances career opportunities in data engineering, stream processing, and distributed systems.

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Instructor led live online Classes

Apache Kafka Certification Training Course

Instructor led live online Training (Weekday/Weekend)

Why Enroll in the Apache Kafka Certification Training Course?

Master Real-Time Data Streaming: Learn Kafka architecture, producers, consumers, and brokers.
Career Growth: Gain a globally recognized certification in stream processing and event-driven architecture.
Hands-on Labs: Work on real-world projects using Apache Kafka.
In-Demand Skills: Learn Kafka Streams, Kafka Connect, and integration with big data tools.
Globally Recognized Certification: Showcase your expertise in real-time messaging systems to employers worldwide.

Course Description

The Apache Kafka Certification Training Course validates your ability to build and manage real-time data pipelines using Apache Kafka.

1. Data Engineers building streaming data pipelines. 2. Software Developers working on event-driven applications. 3. Big Data Professionals implementing real-time analytics. 4. Beginners looking to start a career in stream processing and messaging systems.

1. Comprehensive curriculum covering Kafka core concepts and advanced integrations. 2. Hands-on practice with real-world streaming use cases. 3. 24/7 expert support for technical guidance.

What you'll learn

Introduction to Apache Kafka: Understanding Kafka architecture, topics, partitions, and brokers.

Kafka Producers and Consumers: Developing producer/consumer applications in Java and Python.

Kafka Streams and Kafka Connect: Building stream processing applications and integrating with data sources.

Kafka Cluster Management: Managing Kafka brokers, ZooKeeper, and configurations.

Security and Monitoring: Implementing authentication, authorization, and metrics tracking.

Requirements

Basic Programming Knowledge: Familiarity with Java or Python.
Understanding of Messaging or Big Data Concepts: Helpful but not mandatory.

Curriculum Designed by Experts

Introduction to Big Data
Big Data Analytics
Need for Kafka
What is Kafka?
Kafka Features
Kafka Concepts
Kafka Architecture
Kafka Components
ZooKeeper
Where is Kafka Used?
Kafka Installation
Kafka Cluster
Types of Kafka Clusters
Configuring Single Node Single Broker Cluster

Kafka Installation
Implementing Single Node-Single Broker Cluster

Configuring Single Node Multi Broker Cluster
Constructing a Kafka Producer
Sending a Message to Kafka
Producing Keyed and Non-Keyed Messages
Sending a Message Synchronously & Asynchronously
Configuring Producers
Serializers
Serializing Using Apache Avro
Partitions

Working with Single Node Multi Broker Cluster
Creating a Kafka Producer
Configuring a Kafka Producer
Sending a Message Synchronously & Asynchronously

Consumers and Consumer Groups
Standalone Consumer
Consumer Groups and Partition Rebalance
Creating a Kafka Consumer
Subscribing to Topics
The Poll Loop
Configuring Consumers
Commits and Offsets
Rebalance Listeners
Consuming Records with Specific Offsets
Deserializer

Creating a Kafka Consumer
Configuring a Kafka Consumer
Working with Offsets

Cluster Membership
The Controller
Replication
Request Processing
Physical Storage
Reliability
Broker Configuration
Using Producers in a Reliable System
Using Consumers in a Reliable System
Validating System Reliability
Performance Tuning in Kafka

Create topic with partition & replication factor 3 and execute it on multi-broker cluster
Show fault tolerance by shutting down 1 Broker and serving its partition from another broker

Use Cases - Cross-Cluster Mirroring
Multi-Cluster Architectures
Apache Kafka’s MirrorMaker
Other Cross-Cluster Mirroring Solutions
Topic Operations
Consumer Groups
Dynamic Configuration Changes
Partition Management
Consuming and Producing
Unsafe Operations

Topic Operations
Consumer Group Operations
Partition Operations
Consumer and Producer Operations

Considerations When Building Data Pipelines
Metric Basics
Kafka Broker Metrics
Client Monitoring
Lag Monitoring
End-to-End Monitoring
Kafka Connect
When to Use Kafka Connect?
Kafka Connect Properties

Kafka Connect

Stream Processing
Stream-Processing Concepts
Stream-Processing Design Patterns
Kafka Streams by Example
Kafka Streams: Architecture Overview

Kafka Streams
Word Count Stream Processing

Apache Hadoop Basics
Hadoop Configuration
Kafka Integration with Hadoop
Apache Storm Basics
Configuration of Storm
Integration of Kafka with Storm
Apache Spark Basics
Spark Configuration
Kafka Integration with Spark

Kafka integration with Hadoop
Kafka integration with Storm
Kafka integration with Spark

Flume Basics
Integration of Kafka with Flume
Cassandra Basics such as and KeySpace and Table Creation
Integration of Kafka with Cassandra
Talend Basics
Integration of Kafka with Talend

Kafka demo with Flume
Kafka demo with Cassandra
Kafka demo with Talend

Gathering messages from multiple sources

Implementing an end-to-end project

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Apache Kafka Certification Training Course

Read Review

Instructor led live online Classes

Apache Kafka Certification Training Course