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Bogdan Sucaciu
This course will teach you how to take advantage of the Apache Kafka 3.0 features.
Read more
This course will teach you how to take advantage of the Apache Kafka 3.0 features.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/6tcfj4/what
What's inside
Syllabus
Course Overview
Understanding Kafka Releases
Exploring KRaft Protocol
Good to know
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
Save this course
Save What's New in Apache Kafka 3.0 to your list so you can find it easily later:
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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
Show steps
Enhance your understanding of Kafka improvements by summarizing and explaining them in a blog post, reinforcing your knowledge and helping others learn.
Show steps
-
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
Show steps
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
Show steps
-
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
Write a Blog Post on Kafka Improvements
Show steps
Enhance your understanding of Kafka improvements by summarizing and explaining them in a blog post, reinforcing your knowledge and helping others learn.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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 Scientist
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.
Machine Learning 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.
Business Analyst
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.
Data Architect
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.
Software Engineer
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.
Database Administrator
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.
Data Engineer
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.
Data Warehouse Engineer
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.
DevOps 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.
Cloud 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.
Data Governance Specialist
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.
Systems Analyst
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.
Big Data 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.
Data Integration Engineer
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.
Data Platform 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.
For more career information including salaries, visit:
OpenCourser.com/course/6tcfj4/what
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.
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.
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.
An in-depth guide to Apache Kafka, covering its internals, administration, and best practices. Provides valuable insights for system architects and administrators.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6tcfj4/what
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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
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