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The need for real-time data and processing has become a must for many industries across the internet. With the importance of data, it has become crucial that big data needs to be streamed faster and better. This is where Kafka makes its presence known.
Apache Kafka was grown in a LinkedIn computer lab, 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. Since, then it has evolved into a full time product that is used by many big-name companies such as Airbnb, Netflix and Uber to handle their large amounts of data.
Benefits of using Kafka include that this open-source stream processing platform offers real time data, is easy to scale and also distribute. Now, we can have big data that is also smart data.
Sounds like a great addition to your resume? The demand for Kafka cluster architects is currently high in demand and the payout for Kafka specialists is quite large.
If you want a no-nonsense course that helps you break down Kafka in a simple and easy to learn manner, then you've chosen the right course!
Kafka has quite a steep learning curve and includes some pretty complex concepts that methods. It requires extensive understanding about how distributed systems work. However, in this course you only need to know the fundamentals of UNIX and Java, and nothing else.
It doesn’t matter if you are a beginner or an intermediate learner– this course has something in store for you. This course has been designed to help you learn everything you need to know about Kafka, from how to download it, install it to even start designing your own cluster.
This amazing Kafka course has been designed with experts, and instructed by professionals to help you become an expert in Kafka.
Let’s look at what you will learn in this course:
All of that and so much more is waiting for you inside? What are you waiting for? Enroll now and become a Kafka expert!