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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache.
Register for this course and see more details by visiting:
OpenCourser.com/course/s9aaf3/creating
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What's inside
Syllabus
Creating a Streaming Data Pipeline With Apache Kafka
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores industry-standard Apache Kafka technologies
Provides hands-on experience with the Kafka Streams API
Facilitates building end-to-end data pipelines with Apache Kafka
Suitable for learners seeking practical knowledge of data streaming with Kafka
Requires prior understanding of Java programming
May be most beneficial for learners with an interest in data engineering or streaming data
Save this course
Save Creating a Streaming Data Pipeline With Apache Kafka 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 Creating a Streaming Data Pipeline With Apache Kafka with these
activities:
Review Java
Show steps
Improve understanding of Java fundamentals for a smoother course experience
Browse courses on
Java
Show steps
-
Review Java syntax and data structures.
-
Practice writing simple Java programs.
Follow Apache Kafka Tutorials
Show steps
Gain practical experience with Kafka Streams and Apache Kafka through guided tutorials
Browse courses on
Kafka Streams API
Show steps
-
Find online tutorials or documentation on Kafka Streams API.
-
Follow the tutorials step-by-step, implementing the concepts in your own code.
-
Debug and troubleshoot any issues encountered during the tutorials.
Practice with Kafka Code Exercises
Show steps
Sharpen your coding skills and apply your Kafka knowledge through programming exercises
Browse courses on
Kafka Streams API
Show steps
-
Find online coding exercises or challenges related to Kafka Streams API.
-
Attempt to solve the exercises using Java.
-
Review your solutions and identify areas for improvement.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a Kafka Data Pipeline Architecture
Show steps
Gain a comprehensive understanding of Kafka's role in data pipelines by designing your own architecture
Show steps
-
Define the requirements and goals of your data pipeline.
-
Research and identify the components and services needed.
-
Design the architecture, including the data flow, components, and interactions.
Develop a Kafka Streams Application
Show steps
Apply your learning by designing and implementing a simple Kafka Streams application
Browse courses on
Kafka Streams API
Show steps
-
Identify a problem or use case that can be addressed with Kafka Streams.
-
Design the architecture and implementation plan for your application.
-
Implement your application using Java and the Kafka Streams API.
-
Test and deploy your application.
Participate in Kafka-Related Hackathons
Show steps
Challenge yourself and showcase your skills in a competitive environment centered around Kafka
Browse courses on
Kafka Streams API
Show steps
-
Identify and register for Kafka-related hackathons.
-
Form a team or work individually on a project that utilizes Kafka Streams API.
-
Develop and refine your project during the hackathon.
-
Present your project to judges and receive feedback.
Mentor Junior Developers on Kafka
Show steps
Deepen your understanding of Kafka by guiding junior developers and sharing your knowledge
Browse courses on
Mentorship
Show steps
-
Connect with junior developers or students who are interested in learning about Kafka.
-
Provide guidance and support on Kafka concepts and implementation.
-
Review code and offer suggestions for improvement.
Contribute to Open-Source Kafka Projects
Show steps
Enhance your understanding of Kafka's internals and contribute to the community
Browse courses on
Open Source
Show steps
-
Identify open-source Kafka projects that align with your interests.
-
Review the project's documentation and codebase.
-
Contribute bug fixes, new features, or documentation improvements.
Review Java
Show steps
Improve understanding of Java fundamentals for a smoother course experience
Browse courses on
Java
Show steps
Show steps
Show steps
- Review Java syntax and data structures.
- Practice writing simple Java programs.
Follow Apache Kafka Tutorials
Show steps
Gain practical experience with Kafka Streams and Apache Kafka through guided tutorials
Browse courses on
Kafka Streams API
Show steps
Show steps
Show steps
- Find online tutorials or documentation on Kafka Streams API.
- Follow the tutorials step-by-step, implementing the concepts in your own code.
- Debug and troubleshoot any issues encountered during the tutorials.
Practice with Kafka Code Exercises
Show steps
Sharpen your coding skills and apply your Kafka knowledge through programming exercises
Browse courses on
Kafka Streams API
Show steps
Show steps
Show steps
- Find online coding exercises or challenges related to Kafka Streams API.
- Attempt to solve the exercises using Java.
- Review your solutions and identify areas for improvement.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a Kafka Data Pipeline Architecture
Show steps
Gain a comprehensive understanding of Kafka's role in data pipelines by designing your own architecture
Show steps
Show steps
Show steps
- Define the requirements and goals of your data pipeline.
- Research and identify the components and services needed.
- Design the architecture, including the data flow, components, and interactions.
Develop a Kafka Streams Application
Show steps
Apply your learning by designing and implementing a simple Kafka Streams application
Browse courses on
Kafka Streams API
Show steps
Show steps
Show steps
- Identify a problem or use case that can be addressed with Kafka Streams.
- Design the architecture and implementation plan for your application.
- Implement your application using Java and the Kafka Streams API.
- Test and deploy your application.
Participate in Kafka-Related Hackathons
Show steps
Challenge yourself and showcase your skills in a competitive environment centered around Kafka
Browse courses on
Kafka Streams API
Show steps
Show steps
Show steps
- Identify and register for Kafka-related hackathons.
- Form a team or work individually on a project that utilizes Kafka Streams API.
- Develop and refine your project during the hackathon.
- Present your project to judges and receive feedback.
Mentor Junior Developers on Kafka
Show steps
Deepen your understanding of Kafka by guiding junior developers and sharing your knowledge
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Connect with junior developers or students who are interested in learning about Kafka.
- Provide guidance and support on Kafka concepts and implementation.
- Review code and offer suggestions for improvement.
Contribute to Open-Source Kafka Projects
Show steps
Enhance your understanding of Kafka's internals and contribute to the community
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source Kafka projects that align with your interests.
- Review the project's documentation and codebase.
- Contribute bug fixes, new features, or documentation improvements.
Career center
Learners who complete Creating a Streaming Data Pipeline With Apache Kafka will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure. This course may be useful in your career as it helps build a foundation in Apache Kafka, a widely-used streaming platform for building and managing real-time data pipelines. The course content covers the fundamentals of Kafka Streams API, enabling you to develop and deploy streaming data pipelines efficiently. By gaining proficiency in Kafka through this course, you can enhance your skills as a Data Engineer and contribute effectively to building and maintaining data pipelines.
Data Platform Engineer
Data Platform Engineer
A Data Platform Engineer is responsible for designing and managing data platforms and infrastructure. This course may be useful in your career as it provides a hands-on understanding of Apache Kafka, a powerful streaming platform used for building and managing real-time data pipelines. By learning about Kafka Streams API and its use cases, as covered in this course, you can contribute to the design and implementation of scalable and reliable data platform solutions, enhancing your expertise as a Data Platform Engineer.
Data Analytics Engineer
Data Analytics Engineer
A Data Analytics Engineer is responsible for designing, developing, and maintaining data analytics solutions. This course may be useful in your career as it provides a practical understanding of Apache Kafka, a widely-used streaming platform for real-time data processing. By learning about Kafka Streams API and its applications, as covered in this course, you can contribute to the development of robust and scalable data analytics solutions that leverage streaming data, enhancing your skills as a Data Analytics Engineer.
DevOps Engineer
DevOps Engineer
As a DevOps Engineer, you work on bridging the gap between development and operations teams to ensure smooth software delivery. This course may be useful in your career as it provides hands-on experience with Apache Kafka, a critical technology for building and managing real-time data pipelines. By learning about Kafka Streams API and its use cases, as covered in this course, you can contribute to the design and implementation of reliable and scalable streaming pipelines, enhancing your proficiency as a DevOps Engineer.
Software Architect
Software Architect
A Software Architect is responsible for designing and developing software systems. This course may be useful in your career as it provides a deep dive into Apache Kafka, a widely-used streaming platform for real-time data processing. By learning about Kafka Streams API and its applications, as covered in this course, you can design and implement scalable and reliable software systems that leverage streaming data, enhancing your expertise as a Software Architect.
Big Data Architect
Big Data Architect
A Big Data Architect designs and manages big data systems and solutions. This course may be useful in your career as it provides a practical understanding of Apache Kafka, a powerful streaming platform for handling big data. By learning about Kafka Streams API and how to utilize it effectively, as covered in this course, you can contribute to the design and implementation of scalable and efficient big data systems, enhancing your expertise as a Big Data Architect.
Cloud Architect
Cloud Architect
In the role of a Cloud Architect, you are responsible for designing, implementing, and managing cloud computing solutions. This course may be useful in your career as it provides a practical understanding of Apache Kafka, a popular streaming platform widely used in cloud computing environments. Through this course, you can learn how to leverage Kafka's capabilities to build scalable and reliable streaming data pipelines in the cloud, enhancing your expertise as a Cloud Architect.
Data Integration Engineer
Data Integration Engineer
A Data Integration Engineer is responsible for integrating data from multiple sources into a unified platform. This course may be useful in your career as it provides a deep dive into Apache Kafka, a widely-used streaming platform for real-time data integration. By learning about Kafka Streams API and its applications, as covered in this course, you can develop and deploy scalable and reliable data integration solutions, enhancing your expertise as a Data Integration Engineer.
Solution Architect
Solution Architect
A Solution Architect is responsible for designing and implementing technical solutions for customers. This course may be useful in your career as it provides a deep dive into Apache Kafka, a popular streaming platform used for building real-time data pipelines. By learning about Kafka Streams API and its applications, as covered in this course, you can develop and deploy scalable and reliable streaming data solutions for your customers, enhancing your expertise as a Solution Architect.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. This course may be useful in your career as it provides a foundation in Apache Kafka, a widely-used streaming platform for real-time data processing. By learning about Kafka Streams API and its applications, as covered in this course, you can integrate streaming data into your machine learning pipelines, enabling real-time predictions and enhancing the accuracy and efficiency of your models.
Software Engineer
Software Engineer
In the role of a Software Engineer, you are responsible for overseeing the design, implementation, testing, and maintenance of software systems. This course may be useful in your career as it aids you in understanding the core concepts of Kafka, a popular distributed streaming platform used for building real-time data pipelines and applications. By learning about Apache Kafka and its Streams API through this course, you can gain valuable practical experience that can help you excel as a Software Engineer working with streaming data pipelines.
Enterprise Architect
Enterprise Architect
An Enterprise Architect is responsible for designing and managing the overall architecture of an organization's IT systems. This course may be useful in your career as it provides a broad understanding of Apache Kafka, a popular streaming platform used for real-time data processing. By learning about Kafka Streams API and its applications, as covered in this course, you can better plan and implement enterprise-wide streaming data solutions, enhancing your expertise as an Enterprise Architect.
Technical Program Manager
Technical Program Manager
A Technical Program Manager is responsible for planning, executing, and delivering complex technical projects. This course may be useful in your career as it provides a practical understanding of Apache Kafka, a widely-used streaming platform for real-time data processing. By learning about Kafka Streams API and its applications, as covered in this course, you can better manage and coordinate projects that involve streaming data pipelines, enhancing your effectiveness as a Technical Program Manager.
Data Scientist
Data Scientist
As a Data Scientist, you are involved in analyzing large datasets to extract meaningful insights and make predictions. This course may be useful in your career as it helps build a foundation in Apache Kafka, a powerful streaming platform for handling real-time data. By understanding how to use Kafka Streams API, as covered in this course, you can develop streaming data pipelines that enable real-time data analysis and contribute to more accurate and timely predictions as a Data Scientist.
For more career information including salaries, visit:
OpenCourser.com/course/s9aaf3/creating
Reading list
We've selected eight 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
Creating a Streaming Data Pipeline With Apache Kafka.
Is written by three of the original creators of Apache Kafka and covers the architecture, design, and implementation of Kafka. An invaluable tool for understanding Kafka in depth.
Provides a practical guide to building real-time data pipelines with Kafka. It covers everything from designing and implementing pipelines to monitoring and troubleshooting them.
Save
Covers the core principles and patterns for designing, building, and maintaining scalable, reliable, and maintainable distributed systems.
Save
Covers the principles of reactive programming and how to build microservices using Java and Apache Kafka. A valuable resource for learning how to build scalable and responsive applications.
Provides a concise and easy-to-follow introduction to Kafka. It's a great resource for anyone who wants to learn the basics of Kafka quickly and easily.
Provides a gentle introduction to Linux, covering its architecture, components, and use cases. It valuable resource for anyone who is new to Linux and wants to learn more about how to use it to manage servers and other systems.
Provides a gentle introduction to Python for data science, covering its libraries, tools, and use cases. It valuable resource for anyone who is new to Python and wants to learn more about how to use it for data science.
Provides a gentle introduction to artificial intelligence, covering its history, techniques, and use cases. It valuable resource for anyone who is new to artificial intelligence and wants to learn more about how it is used to solve real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/s9aaf3/creating
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Effort
45 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Explores industry-standard Apache Kafka technologies
Provides hands-on experience with the Kafka Streams API
Facilitates building end-to-end data pipelines with Apache Kafka
Suitable for learners seeking practical knowledge of data streaming with Kafka
Requires prior understanding of Java programming
May be most beneficial for learners with an interest in data engineering or streaming data
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