Welcome to our
no-nonsense easy to learn Kafka Beginner Course!
The
world has progressed from big data to smart data, requiring data in
real-time to make altering decisions for people and the company. This
has prompted more real-time data analytic software to take center
stage. The importance of data has made it crucial that data needs to
be streamed faster and better. This is where Kafka can help.
Apache
Kafka was introduced by Linkedin where it was originally used as a
means to solve the low-latency ingestion of large amounts of event
data from the LinkedIn website and infrastructure into a lambda
architecture that harnessed Hadoop and real-time event processing
systems. From there, it has now become a full time product that is
used by many prominent companies such as Airbnb, Netflix and Uber to
handle their large amounts of data.
Kafka
stands apart from other streaming platforms because it offers
benefits such as real time data, easy scalability and also easy to
distribute. Now, you can add this amazing technology to
our list of accomplishments with our course!
Our
easy to learn and no-nonsense course can help you become a Kafka
expert in a no time. We can help you break down the essentials of
Kafka, making it simple to learn. Since it has a steep learning
curve, Kafka is a little complicated to grasp. This is why we have
built a course with expert instructors to help simplify Kafka’s
complex concepts and fundamental principles.
The
course will start with a detailed introduction into Kafka and
Zookeeper, following with helping you learn how to install both the
platforms and set up the environments. From there, we will cover the
core components and architecture of Kafka, also learning how to
manipulate and replicate data. You will also learn about Kafka’s
CLI and get hands-on with Producer & Consumer API, as well as the
Streaming API. All of this and so much more awaits you in this
course.
If
you want to master Kafka, then this is the course you need! Enroll
now and transform yourself into the expert of your dreams!