Kafka Training Certification

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Kafka Training Certification Course Overview

Cloudera Kafka Training by Multisoft Systems is designed to help professionals master real-time data streaming and event-driven architectures. Apache Kafka is an open-source distributed event streaming platform used by enterprises for building high-performance data pipelines, real-time analytics, and event-driven applications. This training provides hands-on experience in configuring, deploying, and managing Kafka clusters efficiently. Participants will gain in-depth knowledge of Kafka architecture, including producers, consumers, topics, partitions, brokers, and Zookeeper. The course covers essential topics such as message serialization, fault tolerance, replication, and real-time data processing using Kafka Streams. Additionally, learners will explore integration with Cloudera’s big data ecosystem and best practices for performance tuning and security implementation. Ideal for data engineers, architects, and DevOps professionals, this training equips learners with the skills to handle high-throughput data streaming environments. Through hands-on exercises and real-world use cases, participants will develop expertise in designing scalable messaging systems.

By completing this Cloudera Kafka Training, professionals can enhance their ability to process real-time data efficiently, optimize enterprise data architectures, and prepare for Cloudera certifications. Whether you are looking to upskill or advance your career in data engineering, this training is a valuable investment. Enroll today!

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Kafka Training Certification Course curriculum

Curriculum Designed by Experts

Cloudera Kafka Training by Multisoft Systems is designed to help professionals master real-time data streaming and event-driven architectures. Apache Kafka is an open-source distributed event streaming platform used by enterprises for building high-performance data pipelines, real-time analytics, and event-driven applications. This training provides hands-on experience in configuring, deploying, and managing Kafka clusters efficiently. Participants will gain in-depth knowledge of Kafka architecture, including producers, consumers, topics, partitions, brokers, and Zookeeper. The course covers essential topics such as message serialization, fault tolerance, replication, and real-time data processing using Kafka Streams. Additionally, learners will explore integration with Cloudera’s big data ecosystem and best practices for performance tuning and security implementation. Ideal for data engineers, architects, and DevOps professionals, this training equips learners with the skills to handle high-throughput data streaming environments. Through hands-on exercises and real-world use cases, participants will develop expertise in designing scalable messaging systems.

By completing this Cloudera Kafka Training, professionals can enhance their ability to process real-time data efficiently, optimize enterprise data architectures, and prepare for Cloudera certifications. Whether you are looking to upskill or advance your career in data engineering, this training is a valuable investment. Enroll today!

  • Learn about Kafka clusters, brokers, topics, partitions, producers, consumers, and Zookeeper.
  • Set up Kafka clusters, configure settings, and manage resources effectively.
  • Work with producers and consumers to enable real-time data streaming.
  • Utilize Kafka Streams for real-time data processing and analytics.
  • Learn about fault tolerance, replication, and durability in Kafka clusters.
  • Apply tuning techniques for high throughput and low latency.
  • Connect Kafka with Hadoop, Spark, and Cloudera Data Platform (CDP).
  • Understand authentication, authorization, and encryption in Kafka.

Course Prerequisite

  • Basic knowledge of Big Data concepts
  • Familiarity with Apache Kafka architecture 
  • Understanding of distributed systems and messaging

Course Target Audience

  • Data Engineers
  • Big Data Professionals
  • DevOps Engineers
  • IT Administrators
  • System Engineers
  • Data Architects
  • AI/ML Engineers
  • Enterprise Architects
  • IT Managers
  • Database Administrators (DBAs)

Course Content

  • High-Level Architecture
  • Common Use Cases
  • Cloudera's Distribution of Apache Kafka

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  • System Requirements and Dependencies
  • Service Roles
  • Planning Your Deployment Deploying Kafka Services
  • Exercise: Preparing the Exercise Environment
  • Exercise: Installing the Kafka Service with Cloudera Manager
  • Exercise (optional): Create Metrics Dashboards
  • Exercise (optional): Using the CM API

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  • Create and Manage Topics
  • Running Producers and Consumers

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  • Streams Messaging Manager Overview
  • Producers, Topics, and Consumers
  • Data Explorer
  • Brokers
  • Topic Management
  • Exercise: Managing Topics using the CLI
  • Exercise: Connecting Producers and Consumers from the Command Line

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  • Overview of Kafka's APIs
  • Topic Management from the Java API
  • Exercise (optional): Managing Kafka Topics Using the Java API
  • Using Producers and Consumers from the Java API

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  • Replication
  • Exercise: Observing Downtime Due to Broker Failure
  • Considerations for the Replication Factor
  • Exercise: Adding Replicas to Improve Availability

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  • Partitioning
  • How Messages are Partitioned
  • Exercise: Observing How Partitioning Affects Performance
  • Consumer Groups
  • Exercise: Implementing Consumer Groups
  • Consumer Rebalancing
  • Exercise: Using a Key to Control Partition Assignment

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  • Delivery Semantics
  • Demonstration (optional): ISRs vs. ACKs
  • Producer Delivery
  • Exercise: Idempotent Producer
  • Transactions
  • Exercise: Transactional Producers and Consumers
  • Handling Consumer Failure
  • Offset Management
  • Exercise: Detecting and Suppressing Duplicate Messages
  • Exercise: Handling Invalid Records
  • Handling Producer Failure

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  • End-to-End Latency
  • Notifiers
  • Alert Policies
  • Use Cases

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  • Monitoring Overview
  • Monitoring using Cloudera Manager
  • Charts and Reports in CM
  • Monitoring Recommendations
  • Metrics for Troubleshooting
  • Diagnosing Service Failure
  • Exercise: Monitoring Kafka

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  • Managing Kafka Topic Storage
  • Demonstration (optional): Message Retention Period
  • Log Cleanup and Collection
  • Rebalancing Partitions
  • Cruise Control
  • Exercise: Installing Cruise Control
  • Exercise: Troubleshooting Kafka Topics
  • Unclean Leader Election
  • Exercise: Unclean Leader Election
  • Adding and Removing Brokers
  • Exercise: Adding and Removing Brokers
  • Best Practices

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  • Message Structure
  • Schema Registry
  • Defining Schemas
  • Schema Evolution and Versioning
  • Schema Registry Client
  • Exercise: Using an Avro Schema

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  • Message Size
  • Batching
  • Compression
  • Exercise: Observing How Compression Affects Performance

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  • Performance Tuning Strategies for the Administrator
  • Cluster Sizing
  • Exercise: Planning Capacity Needed for a Use Case

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  • Encryption
  • Authentication
  • Authorization
  • Auditing

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Kafka Certification Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

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  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Kafka Training Certification FAQ's

Cloudera Kafka Training by Multisoft Systems is a specialized course designed to teach real-time data streaming using Apache Kafka within the Cloudera ecosystem. It covers Kafka architecture, message processing, fault tolerance, security, and performance optimization.

This training is ideal for Data Engineers, Big Data Professionals, DevOps Engineers, Cloud Architects, IT Administrators, System Engineers, and Software Developers who want to enhance their knowledge of real-time data streaming.

Participants should have a basic understanding of Big Data concepts, distributed systems, Linux commands, networking, and system administration. Familiarity with Java or Python is beneficial for working with Kafka Streams.

Yes, the course includes practical labs and real-world projects to help learners gain hands-on experience in configuring, deploying, and managing Kafka clusters.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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