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.
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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.
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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.
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Learning Objectives: Learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics.
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Learning Objectives: Learn about tuning Kafka to meet your high-performance needs
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Learning Objectives: Learn about Kafka Multi-Cluster Architectures, Kafka Brokers, Topic, Partitions, Consumer Group, Mirroring, and ZooKeeper Coordination in this module.
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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.
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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.
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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 due to 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.
My special thanks to the trainer for his dedication and patience. I learned many things from him. I would also thank the support team for their help. It was well-organised, great work Knowledgehut team!
KnowledgeHut is a great platform for beginners as well as experienced professionals who want to get into the data science field. Trainers are well experienced and participants are given detailed ideas and concepts.
The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions were precise and comprehenisve. Thanks to KnowledgeHut. Looking forward to more such workshops.
I really enjoyed the training session and am extremely satisfied. All my doubts on the topics were cleared with live examples. KnowledgeHut has got the best trainers in the education industry. Overall the session was a great experience.
This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.
I was impressed by the way the trainer explained advanced concepts so well with examples. Everything was well organized. The customer support was very interactive.
Knowledgehut is among the best training providers in the market with highly qualified and experienced trainers. The course covered all the topics with live examples. Overall the training session was a great experience.
The workshop was practical with lots of hands on examples which has given me the confidence to do better in my job. I learned many things in that session with live examples. The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.
While there are no prerequisites as such, knowledge of Java basics will help you grasp Kafka concepts faster.
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:
On successful completion of the Kafka course, you will be able to gain mastery in:
KnowledgeHut’s training is intended to enable you to turn into an effective Apache Kafka developer. After learning this course, you will be able to-
The following are the skills required to master Apache Kafka:
The Apache Kafka training conducted at 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, 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.
KnowledgeHut is known for its latest, course-relevant, and high-quality real-world projects as a major aspect of the Apache Kafka training program. The real-life projects will let you test your practical knowledge and grow your learning to stay afloat with the industries. During Apache Kafka training, a candidate can work on the following projects:
The New York Times uses Apache Kafka to produce content for a number of different systems.
At Pinterest, they use Kafka Streams API to provide inflight spend data to thousands of ads servers in fewer seconds.
Trivago is a global hotel search platform. They are focused on reshaping the way travelers search for and compare hotels.
All our technology programs are hands-on sessions. You will be building 2 sample projects during the training and at the end, you will get evaluated through assignment by the trainer after which you receive the course completion certification.
We will provide you with the Environment/Server access in your system to ensure that every student should have a real-time experience by offering all the facilities required for the detailed understanding of the course. For more queries, while implementing your project you can reach our support team anytime.
The trainer for this Apache Kafka certification has broad experience in developing and delivering the Hadoop ecosystems and many years of experience in training the professionals in Apache Kafka. Our coaches are very encouraging and provide a friendly working environment for the students who are trying to take a big leap in their career.
Yes, you can attend a demo session before getting yourself enrolled for the Apache Kafka training.
All our Online instructor-led training is an interactive session. Any point of time during the session you can unmute yourself and ask the doubts/ queries related to the course topics.
If you miss any lecture, you have either of the two options:
The online Apache Kafka course recordings will be available to you with lifetime validity.
Yes, the students will be able to access the coursework anytime even after the completion of their course.
Apache Kafka course is one of the most popularly used messaging systems in the world and there are huge opportunities for professionals with Kafka skills. Due to its various features like website activity tracking, messaging, log aggregation, and stream processing making it more renowned among the giant companies like PayPal, Oracle, Netflix, Mozilla, Uber, Cisco, Spotify, Twitter, Airbnb, etc. The Apache Kafka training is most-sought for the following reasons:Kafka is a highly scalable and fault-tolerant messaging system with petabyte scale message real-time processing
This will be live interactive training led by an instructor in a virtual classroom.
We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us
We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.
We accept the following payment options:
KnowledgeHut offers a 100% money-back guarantee if the candidates withdraw from the course right after the first session. To learn more about the 100% refund policy, visit our refund page.
If you find it difficult to cope, you may discontinue within the first 48 hours of registration and avail a 100% refund (please note that all cancellations will incur a 5% reduction in the refund amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of a written request for refund. Learn more about our refund policy here.
Typically, KnowledgeHut’s training is exhaustive and the mentors will help you in understanding the concepts in-depth.
However, if you find it difficult to cope, you may discontinue and withdraw from the course right after the first session as well as avail 100% money back. To learn more about the 100% refund policy, visit our Refund 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 following link:
https://www.knowledgehut.com/contact-us
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.
Yes, you can pay the course fee in installments. To avail, please get in touch with us at https://www.knowledgehut.com/contact-us. Our team will brief you on the process of installment process and the timeline for your case.
Mostly the installments vary from 2 to 3 but have to be fully paid before the completion of the course.
Visit the following to register yourself for the Apache Kafka Training:
https://www.knowledgehut.com/big-data/apache-kafka-training/schedule
You can check the schedule of the Apache Kafka Training by visiting the following link:
https://www.knowledgehut.com/big-data/apache-kafka-training/schedule
We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us
We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.
Yes, there will be other participants for all the online public workshops and would be logging in from different locations. Learning with different people will be an added advantage for you which will help you fill the knowledge gap and increase your network.
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 refer to more of a logical system or as Kafka as a whole.
Kafka has great integration with big data analytics which is used for Real-time prediction in the field of Machine Learning and Big Data engineering. Considering the boom in Big data analytics, it is only natural that Kafka has reached the peak of its popularity.
Fault Tolerant, Durability, Zero Downtime, High Performance, and Replication.
Kafka's main architectural components include Producers, Topics, Consumers, Consumer Groups, Clusters, Brokers, Partitions, Replicas, Leaders, and Followers.
Zookeeper is a centralized service and is used to maintain naming and configuration data and to provide flexible and robust synchronization within distributed systems.
Kafka is a distributed system and uses Zookeeper to track status of Kafka cluster nodes. It also keeps track of Kafka topics, partitions, etc.
Kafka uses Zookeeper for the following:
No, Kafka cannot be used without a zookeeper. Apache Kafka is a distributed system that uses Zookeeper to keep a track status of the Kafka cluster nodes. Along with Kafka cluster nodes, it keeps a track of Kafka topics, partitions, etc.
Apache Kafka is an open-source stream processing platform built by LinkedIn and written in Scala and Java programming languages. It was donated by LinkedIn to the Apache Software Foundation.
Scala and Java because of their nativity.
Topic is where data (messages) gets published by a producer and consumed by the consumer.
The popularity of Apache Kafka is exploding. The applications of Apache Kafka are as follows:
Kafka Producer API,Kafka Connect Source API,Kafka Streams API / KSQL,Kafka Consumer API,Kafka Connect Sink API.
Yes, Kafka is required for Big Data to make streaming more scalable. Kafka can be integrated with Spark Streaming, Flume to ingest huge amounts of data in Hadoop clusters.
Apache Kafka is an open-sourced, stream-processing software platform that has been developed by LinkedIn and donated to the Apache Software Foundation. It is written in Java and Scala.
Most often, Kafka is used in building real-time streaming data architectures to provide real-time analytics to the users. Apache Kafka is used with Real-Time ingestion and Monitoring of application logs.
Real-time streaming data architectures to provide real-time analytics. Apache Kafka is robust, scalable, and highly reliable to capture real-time events. The use of Apache Kafka is growing exponentially. Here are some of the popular use cases where Apache Kafka is used:
Kafka is most often used in streaming real-time data architectures to provide real-time analytics. Given below are some of the strong points explaining the benefits of Apache Kafka and why it is used worldwide:
Kafka is able to handle high-volume, high-velocity data, and support message throughput of thousands of messages per second. The other benefits of Apache Kafka are:
Companies that have used Kafka or using Kafka to build the applications are:
The various use-cases of Apache Kafka are:
.\bin\windows\kafka-server-start.bat .\config\server.properties
Apache Kafka needs following system requirements to run Apache Kafka:
ZooKeeper Installation:
Setting Up Kafka:
Running a Kafka Server:
Important: Please ensure that your ZooKeeper instance is up and running before starting a Kafka server.
.\bin\windows\kafka-server-start.bat .\config\server.properties
You can verify by starting zookeeper or by creating topics.
To learn Apache Kafka, you can read some books, tutorials, and you can take up a course. Any investments you have made in learning Apache Kafka will pay you rich returns. The Apache Kafka course will help you master all the tools that will make your resume more marketable. Enrol in this course to upgrade your skills.
As a beginner, you can opt for online tutorials, videos, and blogs available online to learn Apache.
A few tutorials that you can opt for are:
After getting your basics cleared, you can always choose to opt for KnowledgeHut’s training
If you are a professional who is keen on learning Apache Kafka, then the following resources might help you do so:
Apache Kafka tutorials:
Getting Started with Apache Kafka
Apache Kafka Series - Learn Apache Kafka for Beginners
Apache Kafka Series - Kafka Streams for Data Processing
Apache Kafka Series - Kafka Cluster Setup & Administration
Apache Kafka Books:
Kafka: The Definitive GuideLearning Apache KafkaApache Kafka CookbookBuilding Data Streaming Applications with Apache KafkaStreaming Architecture
You can become certified in Apache Kafka in by taking up certification course. Here is the list of the best training providers:
Most of the industry experts suggest taking up the Apache Kafka course at KnowledgeHut. It provides you with the best quality training that is hands-on and comprehensive. KnowledgeHut has one of the most detailed courses on Apache Kafka.
KnowledgeHut will provide the Apache Kafka certification which will help you master the complete architecture of Kafka and make you a successful Kafka Big Data Developer.
The certification provided for Apache Kafka by Knowledgehut is valid for lifetime.
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:
According to Payscale report, the average salary for a Kafka certified professional is $119k per annum.
Today, Apache Kafka is used in almost all industries including Finance, Retail, Technical, Telecommunications, Media & Internet, Healthcare, Education, Transportation, Insurance, etc. Fortune 500 companies and start-up companies like LinkedIn, Twitter, Netflix, Paypal, Uber, Airbnb, Cisco, Oracle, DataDog, LinkSmart, etc. are hiring Kafka developers so that they can apply their expertise in handling big volumes of data on the web.
