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What's New in Apache Kafka 3.0

This course will teach you how to take advantage of the Apache Kafka 3.0 features.

Apache Kafka is one of the most popular streaming platforms today. In this course, What's New in Apache Kafka 3.0, you’ll learn to use the new features developed as a part of the 3.0 release. First, you’ll explore the release cycle of Apache Kafka. Next, you’ll discover the newly released Kafka Improvement Proposals. Finally, you’ll learn how the RAFT protocol has been applied in order to deploy a Kafka cluster without Zookeeper. When you’re finished with this course, you’ll have the skills and knowledge of Apache Kafka needed to experience the new features.

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Apache Kafka 3.0 Kafka Improvement Proposals RAFT Protocol Stream Processing Distributed Systems

What's inside

Syllabus

Course Overview

Understanding Kafka Releases

Exploring KRaft Protocol

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines recently released Kafka Improvement Proposals

Suitable for individuals with some experience in Apache Kafka

Teaches how RAFT protocol is used in deploying Kafka clusters without Zookeeper

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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 What's New in Apache Kafka 3.0 with these activities:

Write a Blog Post on Kafka Improvements

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Enhance your understanding of Kafka improvements by summarizing and explaining them in a blog post, reinforcing your knowledge and helping others learn.

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Gather information and research the new features in Apache Kafka 3.0.
Write a clear and concise blog post outlining the benefits and use cases of these improvements.
Publish your blog post on a platform where others can access and benefit from your insights.
Share your blog post on social media or relevant online communities.

Build a Kafka Streaming Application

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Develop a project that involves building a streaming application using Kafka to solidify your knowledge of data ingestion, processing, and real-time analysis.

Browse courses on Real-Time Data Processing

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Identify a problem or use case that can be addressed using Kafka streaming.
Design and implement a Kafka streaming pipeline that includes producers, consumers, and data transformations.
Test and iterate on your application to optimize performance and reliability.
Deploy your application to a production-like environment.
Monitor and maintain your application to ensure ongoing functionality.

Show all two activities

Career center

Learners who complete What's New in Apache Kafka 3.0 will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers ensure that data is available, reliable, consistent, and available at any given point in time. They use various programming languages and tools, including Apache Kafka, to develop and maintain data pipelines. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data pipeline, increasing your efficiency and making you a more effective Data Engineer.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design, build, and maintain data systems that meet the needs of an organization. They use their knowledge of data management and architecture to ensure that data is organized, accessible, and secure. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data architecture, helping you to design and build more efficient and effective data systems.

See salaries and explore the career path for Data Architect

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. They use Apache Kafka to stream data for real-time analysis and to build machine learning models. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data science projects, helping you to build more accurate and effective models.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. They use Apache Kafka to build distributed systems, stream data, and process events in real-time. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your software development projects, helping you to build more scalable and reliable systems.

See salaries and explore the career path for Software Engineer

Cloud Engineer

Cloud Engineers design, build, and maintain cloud-based systems. They use Apache Kafka to stream data to and from the cloud, and to build event-driven architectures. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your cloud engineering projects, helping you to build more efficient and scalable cloud-based systems.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. They use Apache Kafka to build continuous delivery pipelines and to monitor and manage distributed systems. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your DevOps projects, helping you to build more efficient and reliable systems.

See salaries and explore the career path for DevOps Engineer

Big Data Engineer

Big Data Engineers design, build, and maintain big data systems. They use Apache Kafka to stream and process large volumes of data in real-time. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your big data projects, helping you to build more scalable and efficient systems.

See salaries and explore the career path for Big Data Engineer

Business Analyst

Business Analysts use data to help businesses make better decisions. They use Apache Kafka to stream data from various sources and to build dashboards and reports. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your business analysis projects, helping you to make more informed decisions.

See salaries and explore the career path for Business Analyst

Data Warehouse Engineer

Data Warehouse Engineers design, build, and maintain data warehouses. They use Apache Kafka to stream data into the data warehouse and to build data pipelines. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data warehouse projects, helping you to build more efficient and scalable data warehouses.

See salaries and explore the career path for Data Warehouse Engineer

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They use Apache Kafka to stream data for real-time training and to build event-driven machine learning pipelines. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your machine learning projects, helping you to build more accurate and effective models.

See salaries and explore the career path for Machine Learning Engineer

Data Platform Engineer

Data Platform Engineers design, build, and maintain data platforms. They use Apache Kafka to build data pipelines, stream data, and process events in real-time. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data platform projects, helping you to build more scalable and reliable data platforms.

See salaries and explore the career path for Data Platform Engineer

Data Governance Specialist

Data Governance Specialists develop and implement data governance policies and procedures. They use Apache Kafka to track data lineage and to ensure data is used ethically and responsibly. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data governance projects, helping you to build more effective and compliant data governance programs.

See salaries and explore the career path for Data Governance Specialist

Systems Analyst

Systems Analysts design, build, and maintain computer systems. They use Apache Kafka to build distributed systems, stream data, and process events in real-time. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your systems analysis projects, helping you to build more efficient and reliable systems.

See salaries and explore the career path for Systems Analyst

Data Integration Engineer

Data Integration Engineers design, build, and maintain data integration systems. They use Apache Kafka to stream data between different systems and to build data pipelines. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your data integration projects, helping you to build more efficient and reliable data integration systems.

See salaries and explore the career path for Data Integration Engineer

Database Administrator

Database Administrators design, build, and maintain databases. They use Apache Kafka to stream data into and out of databases and to build event-driven database applications. In this course, What's New in Apache Kafka 3.0, you will learn about the new features of Kafka 3.0 and how to apply it to your database administration projects, helping you to build more efficient and reliable databases.

See salaries and explore the career path for Database Administrator

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in What's New in Apache Kafka 3.0.

Kafka: The Definitive Guide

Save

Provides a comprehensive overview of Apache Kafka, covering its architecture, key concepts, and use cases. It valuable resource for anyone looking to gain a deeper understanding of Kafka, including those taking this course.

Kafka: The Definitive Guide: Real-Time Data and...

Paperback

Building an Event-Driven Data Mesh

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Provides a comprehensive overview of Apache Kafka, covering its architecture, key concepts, and use cases. It valuable resource for anyone looking to gain a deeper understanding of Kafka.

Building an Event-Driven Data Mesh: Patterns for...

Paperback

Building an Event-Driven Data Mesh

Kindle Edition

Kafka: The Definitive Guide

Save

An in-depth guide to Apache Kafka, covering its internals, administration, and best practices. Provides valuable insights for system architects and administrators.

Kafka: The Definitive Guide: Real-Time Data and...

Paperback

Kafka: The Definitive Guide

Kindle Edition

Designing Data-Intensive Applications

Save

Provides a broader perspective on designing data-intensive applications, covering topics such as data modeling, distributed systems, and fault tolerance. Offers foundational knowledge for understanding Apache Kafka's role in such systems.

Designing Data-Intensive Applications: The Big...

Paperback

Designing Data-Intensive Applications: The Big...

Kindle Edition

Secret Colors

Save

Provides a comprehensive overview of designing and building data-intensive applications. It covers a wide range of topics, including data modeling, storage, and processing.

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Time

52 hours

Level

Introductory

Via

Pluralsight

Instructor

Bogdan Sucaciu

Language

English

Good to know

Examines recently released Kafka Improvement Proposals

Suitable for individuals with some experience in Apache Kafka

Teaches how RAFT protocol is used in deploying Kafka clusters without Zookeeper

Share and help others discover this course.

Facebook

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