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 is run 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, understand Kafka API streams, learn how it is developed on Java and eventually develop cutting-edge big data solutions using 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 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.
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.
It is not mandatory for you to have a prior knowledge of Kafka to take up Apache Kafka training. However, as a participant you are expected to know the core concepts of Java or Python to attend this course.
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training!
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be applied effectively in the real world.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
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.
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.
Learning Objectives: Learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics.
Learning Objectives: Learn about tuning Kafka to meet your high-performance needs
Learning Objectives: Learn about Kafka Multi-Cluster Architectures, Kafka Brokers, Topic, Partitions, Consumer Group, Mirroring, and ZooKeeper Coordination in this module.
Learning Objectives: Learn about the Kafka Streams API in this module. Kafka Streams is a client library for building mission-critical real-time applications and microservices, where the input and/or output data is stored in Kafka Clusters.
Learning Objectives: Learn about Apache Hadoop, Hadoop Architecture, Apache Storm, Storm Configuration, and Spark Ecosystem. In addition, configure Spark Cluster, Integrate Kafka with Hadoop, Storm, and Spark.
At The New York Times they have a number of different systems that are used for producing content. Furthermore, given 161 years of journalism and 21 years of publishing content online, they have huge archives of content that still need to be available online.
At Pinterest, they use Kafka Streams API to provide inflight spend data to thousands of ads servers in mere seconds. But in some areas they were facing issues like Over delivery. Over delivery occurs when free ads are shown for out-of-budget advertisers. This problem is difficult to solve because of two reasons Real time spend Data and predictive spend.
Trivago is a global hotel search platform. They are focused on reshaping the way travellers search for and compare hotels. As of 2017, they offer access to approximately 1.8 million hotels and other accommodations in over 190 countries. They use Kafka, Kafka Connect, and Kafka Streams to enable our developers to access data freely in the company.
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Big Data analytics has proven to provide significant business benefits and more 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 enrol for this course.
This course will prepare you for everything you need to learn about Big Data while gaining practical experience on Apache Kafka.
After completing our course, you will be able to understand:
There are no restrictions but participants would benefit if they have basic computer knowledge.
Yes, KnowledgeHut offers this training online.
Your instructors are Kafka experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
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