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20 Hours of Hands-on Training on Apache Kafka
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Apache Kafka is an open-source messaging infrastructure designed by LinkedIn and used by several major SaaS (Software as a Service) applications that we use on a daily basis. Kafka was designed to work with large scale data movements and offer seamless performance and reliability. Today when most IT professionals are dealing with a data deluge in the form of hundreds of billions of message, Kafka is the big data solution that you need!
Apache Kafka training will take you through the architectural design of Kafka that enables it to process large strings of data in real-time. Kafka stores, processes, and publishes streams of data records seamlessly as they occur and in a durable manner. The speed and performance of Kafka can be attributed to the fact that it runs as a cluster on multiple servers, enabling it to span across several data centers.
IT professionals can use Kafka certification to dive into the intrinsic architecture of Apache Kafka. Moreover, it helps to understand Kafka API streams, learn how it is developed on Java, and eventually develop cutting-edge big data solutions using Kafka.
Benefits of Apache Kafka:
Kafka course can enable organizations and professionals to process huge volumes of data and leverage the benefits of Big Data Analytics efficiently. Over 30% of today’s Fortune 500 companies, like LinkedIn, Yahoo, Netflix, Twitter, PayPal, Airbnb, etc. use Apache Kafka.
According to PayScale, a Kafka professional can earn an average of $140,642 p.a. The salary range varies based on the experience, skills, and designation of an individual.
Organization benefits:
Learning Objectives:
Understand where Kafka fits in the Big Data space, and learn about Kafka Architecture. Also, learn about Kafka Cluster, its Components, and how to configure a Cluster.
Topics:
Hands-on:
Learning Objectives:
Learn how to construct a Kafka Producer, send messages to Kafka, send messages Synchronously & Asynchronously, configure Producers, serialize using Apache Avro and create & handle Partitions.
Topics:
Hands-on:
Learning Objectives:
Learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics.
Topics:
Hands-on:
Learns the basics of Kafka messaging system in Big Data, Kafka architecture, and its configuration.
Know about Kafka and its components, and how Kafka technology helps in processing real-time data.
Learn ways to construct and process messages in Kafka APIs such as producers, consumers, etc.
Learn how to design and develop robust messaging and subscribe topics on various platforms.
Learn about Kafka cluster and how it integrates with other Big Data Frameworks like Hadoop.
Understand and learn various methods and the importance to Integrate Kafka with Storm, Spark.
While there are no prerequisites as such, knowledge of Java basics will help you grasp Kafka concepts faster.
Kafka is a durable, scalable, and reliable messaging system which has integration with Hadoop and Spark. Big Data analytics has proven to provide significant business benefits, and more organizations are seeking to hire professionals who can extract crucial information from structured and unstructured data. Hadoop for many years was the undisputed leader in data analytics but a technology that has now proven itself to be faster and more efficient is Apache Kafka. Developed in the labs of LinkedIn, it is written in Java and Scala and is fast, scalable and distributed by design. As more and more organizations are reaping the benefits of data analysis through Kafka, there is a huge demand for Kafka experts. And hence this is the right time to enroll for this course.
Kafka course is designed for professionals who want to learn Kafka techniques and apply it to Big Data clusters. It is highly recommended for:
Following are the system requirements to learn Apache Kafka course online:
The Apache Kafka training conducted at upGrad KnowledgeHut is customized according to the preferences of the learner. The training is conducted in three ways:
The Apache Kafka training takes 35 hours of instructor-led training to complete the course.
The primary requirement to attend the Kafka course is to have a basic knowledge of Java programming language. The attendee should be aware of any messaging system and Linux and Unix based systems. In addition to this, an individual needs specific system requirements in order to attend the online Kafka classes and these are:
Yes, upGrad KnowledgeHut has well-equipped labs with industry-relevant hardware and software. We provide Cloudlabs for the course categories like Web development, Cloud Computing, and Data Science to explore every feature of Kafka with our hands-on training. Cloudlabs provide an environment that lets you build real-world scenarios and practice from anywhere and anytime across the globe. You will have live hands-on coding sessions and will be given practice assignments to work on once the class is over.
We accept the following payment options:
At upGrad KnowledgeHut, we strive diligently to make sure that your learning experience with us is second to none and you are assured of the highest standards of quality. However, if for any reason your expectations are not met, we will process refunds in accordance with our Cancellation, Refund, and Deferment Policy.
At upGrad KnowledgeHut, we strive diligently to make sure that your learning experience with us is second to none and you are assured of the highest standards of quality. However, if for any reason your expectations are not met, we will process refunds in accordance with our Cancellation, Refund, and Deferment Policy.
Yes, we have scholarships available for Students and Veterans. We do provide grants that can vary up to 50% of the course fees.
To avail scholarships, feel free to get in touch with us at the link:
The team shall send across the forms and instructions to you. Based on the responses and answers that we receive, the panel of experts takes a decision on the Grant. The entire process could take around 7 to 15 days.
Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. It is a publish-subscribe messaging system.
It will perform all Messaging operations like the publish-subscribe system.
Apache Kafka is an open-source framework, used to build real-time data pipelines and streaming apps. It is fast, horizontally scalable, provides uninterrupted service to the companies to run the code in production frequently.
Kafka consists of records, topics, consumers, producers, brokers, logs, partitions, and clusters. Records can have keys (optional), values, and timestamps. Kafka records are immutable. A Kafka Topic is a stream of records ("/orders", "/user-signups"). You can think of a topic as a feed name. A topic has a log which is the topic’s storage on disk. A topic log is broken up into partitions and segments. The Kafka Producer API is used to produce streams of data records. The Kafka Consumer API is used to consume a stream of records from Kafka. A broker is a Kafka server that runs in a Kafka cluster. Kafka brokers form a cluster. The Kafka cluster consists of many Kafka brokers on many servers. Broker sometimes refers to more of a logical system or as Kafka as a whole.
We will provide complete practical knowledge in the form of topic end exercises and real time projects. These will give you the practical experience and knowledge that you need to clear job interviews. This will help a lot in landing a job as an Apache Kafka expert.
Being well versed in Apache Kafka can help you land jobs as a:
After completion of the course, you will learn the following:
Today, many companies are using Apache Kafka which has raised the demand for Kafka experts in the industry. Currently, Apache Kafka is being used in real-time ingestion and it is predicted to use it as MicroServices integrated with Docker instance. Let us take a look at various points that will explain the future scope of Kafka professionals: