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Using Kafka on Confluent

Offered By: Edureka via Coursera

Tags

Apache Kafka Courses Distributed Systems Courses Data Management Courses Data Streaming Courses Data Replication Courses Kafka Streams Courses Kafka Connect Courses

Course Description

Overview

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Welcome to Using Kafka on Confluent, where you'll embark on a journey to acquire practical expertise in data handling and management through Confluent Kafka, which is later used to handle different Kafka application functionalities. Throughout this course, you'll explore the industry-specific applications of and delve into various features and functionalities. By the end of this course, you will be able to: 1. Know the architecture of Kafka and Confluent. 2. Explain the importance of Kafka Connect used to connect to other data sources. 3. Assess the capabilities of producers for publishing data records and consumers for retrieving data. 4. Applying concepts of Kafka to manage data. 5. Interpret replication and Kafka streams on Confluent. 6. Explore Kafka's full data handling capabilities on Confluent. Prior experience with RDBMS applications and data management concepts can be beneficial when working with Confluent. This course is designed for a diverse audience: Freshers, IT Professional, Data Architects, and Project Managers who are looking to enhance their skills in Confluent. Join us on this journey to enhance your data management skills and elevate your application-building capabilities.

Syllabus

  • Getting Started with Confluent
    • In this module, you will learn about the importance of Confluent Kafka and it's emergence in handling data. Set up a confluent account for creating topics, and partitions for handling data in clusters.
  • Kafka Operations and Core Concepts
    • In this module, Learn to manage data through core operations prevalent in Kafka. Create data ingestion models with consumers and data creation models with producers to handle large clusters of data
  • Kafka Security and Monitoring
    • In the third week of the course, learners will learn to secure data in Kafka while monitoring data for inconsistencies. They will also integrate data mesh principles in Kafka, which offers organizations a scalable and resilient foundation for decentralized data management and processing.
  • Course Project
    • This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on Confluent.

Taught by

Edureka

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