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Kafka Fundamentals

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LearnKartS

Welcome to the Kafka Fundamentals course!

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Welcome to the Kafka Fundamentals course!

The course is designed to provide you with a comprehensive understanding of Apache Kafka, a distributed streaming platform used for building real-time data pipelines and streaming applications. Whether you are new to Kafka or seeking to solidify your foundational knowledge, this course will equip you with the skills needed to effectively utilize Kafka in various real-world scenarios.

This course requires a basic understanding of distributed systems and familiarity with Java or Python programming languages.

This course is ideal for software developers, data engineers, system administrators, and IT professionals who are looking to leverage Kafka for data streaming and real-time analytics. The course provides a comprehensive introduction to key big data concepts and messaging systems, laying a solid foundation for understanding data processing dynamics.

By the end of this course, you will be able to:

- Understand data evolution, big data significance, analytics applications, and messaging systems.

- Learn Kafka's key features, components, architecture, and industry use cases.

- Set up Kafka environments and install Zookeeper and Kafka.

- Master Kafka producer and consumer basics, configurations, and operations.

- Work with serializers and deserializers and manage offsets and rebalancing.

This course contains engaging videos, hands-on demonstrations, readings, and assessments to ensure a comprehensive understanding of Apache Kafka.

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What's inside

Syllabus

Getting Started with Big Data and Apache Kafka

This module provides an overview of Big Data, messaging systems, and Apache Kafka, including installation and setup demonstrations. By the end of this, learners will be able to install and configure the Kafka environment.

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Kafka Producer

This module provides an overview of Kafka Producer, covering its architecture and configuration. By completing this module, learners will be able to create and configure Kafka Producers, handle message serialization, and manage partitioning.

Kafka Consumer

This module introduces Kafka Consumer fundamentals, including consumer groups, offset management, and deserialization techniques. By completing this module, learners will gain the ability to create Kafka Consumers, effectively manage offsets, and implement custom deserializers for efficient data processing.

Good to know

Know what's good

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, and possible dealbreakers

Develops skills and knowledge core for big data and data streaming applications

Introduces learners to Kafka's architecture, components, and use cases

Builds a strong foundation for understanding data evolution and big data concepts

Offers hands-on practice with Kafka producer and consumer basics

Assumes some background knowledge in Java or Python programming

May require additional setup and configuration of Zookeeper and Kafka

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Kafka Fundamentals with these activities:

Read 'Kafka: The Definitive Guide'

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Provides a comprehensive overview of Kafka's architecture, concepts, and use cases, enriching your theoretical understanding.

View Kafka: The Definitive Guide: Real-Time Data and... on Amazon

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Purchase or borrow a copy of the book
Read the book thoroughly
Take notes and highlight key concepts

Create a small streaming pipeline

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Helps you grasp the basic concepts of Kafka by implementing a simple streaming pipeline.

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Set up your Kafka environment
Create a Kafka producer and consumer
Write a simple data producer
Write a simple data consumer

Practice using Kafka producer and consumer APIs

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Reinforces your understanding of Kafka's producer and consumer APIs through hands-on practice.

Browse courses on API

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Create a Java/Python program using the Kafka producer API
Create a Java/Python program using the Kafka consumer API
Test your programs by sending and receiving messages

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Career center

Learners who complete Kafka Fundamentals will develop knowledge and skills that may be useful to these careers:

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Effort

3 weeks of study, 1-2 hours/week

Level

Intermediate

Via

Coursera

Institution

LearnKartS

Instructor

LearnKartS

Session

August 5, 2024 - September 2, 2024

Language

English

Good to know

Develops skills and knowledge core for big data and data streaming applications

Introduces learners to Kafka's architecture, components, and use cases

Builds a strong foundation for understanding data evolution and big data concepts

Offers hands-on practice with Kafka producer and consumer basics

Assumes some background knowledge in Java or Python programming

May require additional setup and configuration of Zookeeper and Kafka

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