This Apache Kafka Online Course will introduce you to the concepts of Apache Kafka and help you understand how it can be used to build data pipelines and real-time applications.

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.

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&rsquo;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.

Course Overview

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&rsquo;t worry, you&rsquo;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.

How It Works

You will: <li>Basic understanding of Apache Hadoop and big data.</li><li>Basic Linux operating system knowledge.</li><li>Basic understanding of the Scala, Python, R, or Java programming languages.</li>

Skills You Will Gain

<li>Individuals keen to learn data pipelines with Apache Kafka.</li><li>College graduates who want to start their career in Apache Kafka.</li><li>Data scientists seeking to upskill.</li>

Who Should Enroll On This Course

<li>Basic math and statistical knowledge.</li><li>Basic computer skills.</li><li>Basic Python programming knowledge.</li>

Prerequisites

Simplifying data pipelines with Apache Kafka - SkillUp Online

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.

What will I Iearn during this Simplifying Data Pipelines and Apache Kafka course?

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 resum&eacute;.

Will I be issued a certificate once I've completed this course?

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.

Is this Simplifying Data Pipelines and Apache Kafka course completely online?

This IBM-certified course comprises five purposely designed modules that take you on a carefully defined learning journey.

How many modules are there in this course?

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.

What are the prerequisites for taking this course?

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.

Is this Simplifying Data Pipelines and Apache Kafka course mentored?

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.

Q1 What will I Iearn during this Simplifying Data Pipelines and Apache Kafka course?

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 resum&eacute;.

Q2 Will I be issued a certificate once I've completed this course?

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.

Q3 Is this Simplifying Data Pipelines and Apache Kafka course completely online?

This IBM-certified course comprises five purposely designed modules that take you on a carefully defined learning journey.

Q4 How many modules are there in this course?

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.

Q5 What are the prerequisites for taking this course?

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.