More than one-third of fortune five hundred companies today, are using Kafka. Have you ever wondered why this technology is exploding so much? Kafka has gained its popularity due to its simplicity of operations.
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It is easy to set up and use. Kafka works well with big data streams.
It is used for website activity tracking, real-time analytics, collection of metrics, data feed into Spark, and Hadoop. Kafka is used by many companies like Uber, Twitter, LinkedIn, Yelp and many more fortune five hundred companies. Kafka can integrate diverse data like page clicks, searches, orders, shopping carts etc. into a predictive engine for analyzing consumer behaviour.
What is Kafka?
LinkedIn originally developed Kafka in 2011 and later donated the technology to the Apache software foundation. It is an open-source data streaming software to handle real-time data feeds. The beauty of this software is its incredible speed, scalability, and fault-tolerant nature.
That is why thousands of companies use Apache Kafka for their data architecture streaming. It is interesting to note that recently LinkedIn has deployed 1.1 trillion messages per day, which is the largest deployment of Kafka in any company.
Why you should undertake the Kafka course?
Apache Kafka certification course will provide a plethora of benefits to learners. Here are the top ten reasons why you should undertake Kafka course.
- Scalability: Apache Kafka is highly scalable for any amount of data requirement without downtime.
- Durability: The open-source system is highly durable as it places the messages in intra-cluster replication.
- Reliability: The software is reliable as the information can be retrieved anytime without losing any part of the data.
- Exceptional performance: The software exhibits incredible speed for subscribing and publishing very large data
- Ingestion into Hadoop and Spark: The data can be fed easily into Hadoop and Spark to obtain real-time insights
- Amalgamation: Kafka can be integrated into any Apache program without any hassle.
- Fault tolerance: One of the best features of Kafka is fault tolerance. The software can resist machine failure within a cluster.
- Distributed architecture: The distributed architecture of the software makes it scalable in replication and partitioning of data.
- Handling real-time data: The prime reason why Kafka has become so popular is that it can handle real-time data from the source applications.
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- Low latency: This amazing software can handle large amounts of messages in milliseconds as demanded by the new use cases.
A course in Kafka is useful for all those developers who want to accelerate their career in the big data domain. This course is also helpful for testers who work on messaging systems. Basic knowledge of Java is desirable to learn Apache Kafka.
A basic course will give insights on brokers, partitions, consumers, producers, architecture, use cases, etc. It’s an excellent way to start your career with Apache Kafka to enter into the fantastic world of big data for real-time data streaming and analytics. Apache Kafka will grow exponentially shortly and it’s time to make hay while the sun shines.