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Master Data Streams with Confluent Kafka

Learn to manage real-time data streams using Apache Kafka on Confluent Platform. Master data handling, security, and monitoring for scalable applications.

Learn to manage real-time data streams using Apache Kafka on Confluent Platform. Master data handling, security, and monitoring for scalable applications.

This comprehensive course teaches the fundamentals of using Apache Kafka on the Confluent Platform for effective data stream management and processing. Students learn to design and implement scalable data streaming solutions, starting with basic Kafka concepts and progressing to advanced topics. The curriculum covers essential components including producers, consumers, Kafka Connect, Schema Registry, and data mesh principles. Participants gain hands-on experience with cluster management, security implementation, and performance monitoring while working with real-world scenarios and practical applications. The course emphasizes both theoretical knowledge and practical skills needed for building robust data streaming solutions.

Instructors:

English

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Master Data Streams with Confluent Kafka

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

What you'll learn

  • Design and implement Kafka data streams for application scaling

  • Master Kafka Connect for external system integration

  • Implement Schema Registry for data consistency

  • Configure and manage Kafka clusters on Confluent Platform

  • Apply security protocols and monitoring practices

  • Utilize data mesh principles for distributed data management

Skills you'll gain

kafka
confluent
data streaming
big data
kafka connect
schema registry
data mesh
data security
real-time processing
event streaming

This course includes:

247 Minutes PreRecorded video

14 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course provides a thorough introduction to Apache Kafka on the Confluent Platform, focusing on practical implementation and real-world applications. Students learn core concepts including Kafka architecture, producers and consumers, data streaming, and cluster management. The curriculum progresses through essential topics such as Kafka Connect, Schema Registry, security protocols, and monitoring practices. Special emphasis is placed on hands-on experience with creating and managing data streams, implementing security measures, and utilizing data mesh principles for scalable solutions.

Getting Started with Confluent

Module 1 · 3 Hours to complete

Kafka Operations and Core Concepts

Module 2 · 3 Hours to complete

Kafka Security and Monitoring

Module 3 · 4 Hours to complete

Course Project

Module 4 · 42 Minutes to complete

Fee Structure

Payment options

Financial Aid

Instructor

Edureka
Edureka

44,228 Students

47 Courses

Leading Online Learning Platform Specializing in IT Education with Extensive Course Offerings and 24/7 Support

Edureka is a leading online learning platform that specializes in IT education, offering a comprehensive range of courses designed to help professionals enhance their skills and stay relevant in the rapidly evolving technology landscape. Established with a commitment to providing high-quality, industry-relevant training, Edureka has gained recognition for its extensive library of courses, which includes topics such as data science, cloud computing, artificial intelligence, and cybersecurity.

Master Data Streams with Confluent Kafka

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.