Hi, 
Simplifying Data Pipelines with Apache Kafka
Course
Simplifying Data Pipelines with Apache Kafka
Learn how to use Apache Kafka to stream data pipelines and applications in real-time. Explore its architecture and discover how to produce and consume messages with command line tools and Java APIs.
Build your knowledge of this key tool and gain sought-after skills for a big data career.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
2 weeks, online
3-4 hours/week
3-4 hours/week
Apache Kafka is a key tool in the field of big data. It is used for streaming data pipelines and applications real-time. Using Apache Kafka enables a pipeline or application to combine messaging, storage, and stream processing whilst facilitating the storage and analysis of historical and real-time data too. Thus, it’s an extremely useful tool in the world of big data. In this course, you will learn how Apache Kafka is used in the real world and you will explore its architecture and components. You will learn how to produce and consume messages using both command line tools and Java APIs. You will also get hands-on experience connecting Kafka to Spark and working with Kafka Connect. Once you have completed this course, you will understand how to use Apache Kafka in business. If you're keen to work in the fast-moving fields of big data and data science, therefore, this course will provide you with valuable skills you need to kick-start your career in this part of the domain.
For individuals keen to take their first step in the amazing world of AI, this Artificial Intelligence Program is an ideal place to start.
This IBM certified course comprises five purposely designed modules that take you on a carefully defined learning journey. It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don’t worry, you’re not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space. The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will: Basic understanding of Apache Hadoop and big data. Basic Linux operating system knowledge. Basic understanding of the Scala, Python, R, or Java programming languages.
Course Outline
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Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
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Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
You will learn how to stream data pipelines and applications in real time using Apache Kafka. You will be introduced to its architecture, and you will learn how to create and consume messages using command line tools and Java APIs as you explore the platform. This course will help you to expand your knowledge and build highly sought-after skills for a career in big data.
Yes, you will be issued an IBM Certificate once you have successfully completed the course. You can then upload it to your LinkedIn profile and add it to your resumé.
Yes. It is 100% online. It is also a self-paced course, so there's no set deadline for finishing modules or submitting assignments. The course is expected to be completed in 2 weeks if you work 3-4 hours per week. You can work at your own pace if you finish the course within the enrollment period. However, please do not think you are learning alone. The course discussion space will help you stay connected to your learning community and mentors.
This IBM-certified course comprises five purposely designed modules that take you on a carefully defined learning journey.
You should have a basic understanding of Apache Hadoop and big data before enrolling in Simplifying Data Pipelines and Apache Kafka. Additionally, you should be familiar with the Linux operating system. Plus, having a basic understanding of the programming languages Scala, Python, R, or Java will be an advantage.
Yes, with this course you will have the option to choose additional mentoring support. Throughout the course, you will have access to essential guidance and help. We provide a dedicated discussion space where you may ask questions, talk with your peers, and work out problems. However, you may also have access to live seminars and webinars, depending on your subscription plan. These sessions are a great way to address concerns with your mentor and ask questions.
Type of certificate
IBM Certificate
About this course
05 Modules
06 Skills
Includes
Discussion space
05 Hands-on labs
15 Videos
05 Review questions
01 Final exam
Create
Kafka producer using the Java API and send messages both synchronously and asynchronously.
Kafka consumer using the Java API.
Exercises to explore
Kafka environment setup
How to use Kafka and Spark Streaming together
Hands-on Lab 1 : Documentation
Kafka Command Line
Kafka Consumer Java API
Kafka Producer Java API
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