Why Learn Apache Kafka
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.
Individual Benefits:
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:
- It helps organizations to handle large volumes of data
- Enables transparent and seamless message handling while avoiding downtime
- Allows organizations to integrate with a variety of consumers
- Implementation of Kafka helps to handle real-time data pipeline
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What You Will Learn
1. Kafka Introduction
Learns the basics of Kafka messaging system in Big Data, Kafka architecture, and its configuration.
2. Kafka and Big Data
Know about Kafka and its components, and how Kafka technology helps in processing real-time data.
3. Kafka APIs
Learn ways to construct and process messages in Kafka APIs such as producers, consumers, etc.
4. Kafka Example
Learn how to design and develop robust messaging and subscribe topics on various platforms.
5. Cluster Architecture
Learn about Kafka cluster and how it integrates with other Big Data Frameworks like Hadoop.
6. Kafka Integration
Understand and learn various methods and the importance to Integrate Kafka with Storm, Spark.
Prerequisites
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.
Who should take up Apache Kafka Course
- Data scientists
- ETL developers
- Data analysts
- BI Analysts & Developers
- SAS Developers
- Big Data Professionals
- Big Data Architects
- Project Managers
- Research professionals
- Analytics professionals
- Professionals aspiring for a career in Big Data
- Messaging and Queuing System professionals
KnowledgeHut Experience
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Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Curriculum Designed by Experts
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Learn through Doing
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be applied effectively in the real world.
Mentored by Industry Leaders
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.
Curriculum
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:
- Introduction to Big Data
- Big Data Analytics
- Need for Kafka
- What is Kafka?
- Kafka Features
- Kafka Concepts
- Kafka Architecture
- Kafka Components
- ZooKeeper
- Where is Kafka Used?
- Kafka Installation
- Kafka Cluster
- Types of Kafka Clusters
Hands-on:
- Kafka Installation
- Implementing Single Node-Single Broker 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.
Topics:
- Configuring Single Node Single Broker Cluster
- Configuring Single Node Multi Broker Cluster
- Constructing a Kafka Producer
- Sending a Message to Kafka
- Producing Keyed and Non-Keyed Messages
- Sending a Message Synchronously & Asynchronously
- Configuring Producers
- Serializers
- Serializing Using Apache Avro
- Partitions
Hands-on:
- Working with Single Node Multi Broker Cluster
- Creating a Kafka Producer
- Configuring a Kafka Producer
- Sending a Message Synchronously & Asynchronously
Learning Objectives: Learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics.
Topics:
- Consumers and Consumer Groups
- Standalone Consumer
- Consumer Groups and Partition Rebalance
- Creating a Kafka Consumer
- Subscribing to Topics
- The Poll Loop
- Configuring Consumers
- Commits and Offsets
- Rebalance Listeners
- Consuming Records with Specific Offsets
- Deserializers
Hands-on:
- Creating a Kafka Consumer
- Configuring a Kafka Consumer
- Working with Offsets
Learning Objectives: Learn about tuning Kafka to meet your high-performance needs
Topics:
- Cluster Membership
- The Controller
- Replication
- Request Processing
- Physical Storage
- Reliability
- Broker Configuration
- Using Producers in a Reliable System
- Using Consumers in a Reliable System
- Validating System Reliability
- Performance Tuning in Kafka
Hands-on:
- Create a topic with partition & replication factor 3 and execute it on multi-broker cluster
- Show fault tolerance by shutting down 1 Broker and serving its partition from another broker
Learning Objectives: Learn about Kafka Multi-Cluster Architectures, Kafka Brokers, Topic, Partitions, Consumer Group, Mirroring, and ZooKeeper Coordination in this module.
Topics:
- Multi-Cluster Architectures
- Apache Kafka’s MirrorMaker
- Other Cross-Cluster Mirroring Solutions
- Topic Operations
- Consumer Groups
- Dynamic Configuration Changes
- Partition Management
- Consuming and Producing
- Unsafe Operations
Hands-on:
- Topic Operations
- Consumer Group Operations
- Partition Operations
- Consumer and Producer Operations
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.
Topics:
- Stream Processing
- Stream-Processing Concepts
- Stream-Processing Design Patterns
- Kafka Streams by Example
- Kafka Streams: Architecture Overview
Hands-on:
- Kafka Streams
- Word Count Stream Processing
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.
Topics:
- Apache Hadoop Basics
- Hadoop Configuration
- Kafka Integration with Hadoop
- Apache Storm Basics
- Configuration of Storm
- Integration of Kafka with Storm
- Apache Spark Basics
- Spark Configuration
- Kafka Integration with Spark
Hands-on:
- Kafka integration with Hadoop
- Kafka integration with Storm
- Kafka integration with Spark
Project
Content messaging queue in The New York Times
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.
Kafka stream API in Pinterest
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.
Analytical Pipeline using Kafka in Trivago
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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Apache Kafka Course
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:
- Developers, who want to gain acceleration in their career as "Kafka Big Data Developers"
- Testing Professionals, who are currently involved in Queuing and Messaging Systems
- Big Data Architects, who like to include Kafka in their ecosystem
- Project Managers, who are working on projects related to Messaging Systems
- Admins, who want to gain acceleration in their careers as "Apache Kafka Administrators”
Following are the system requirements to learn Apache Kafka course online:
- Windows/ Mac/ Linux machine
- Minimum 4GB of RAM
- 5GB of disk space
- i3 Processor or above
- An operating system of 64 bit
- Internet speed: Minimum 1 Mb/s
- The machines should support a 64-bit VirtualBox guest image
On successful completion of the Kafka course, you will be able to gain mastery in:
- Setting up an end-to-end Kafka clustering along with Hadoop and YARN cluster
- Integrate Kafka with real-time streaming systems like Spark.
- Kafka API of Java and Scala and understanding of Kafka Stream API.
- Real-World Use Cases of Kafka.
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-
- Understand the Kafka architecture and how its components work.
- Integrate Kafka with real-time streaming systems like Spark and Storm.
- Use Kafka to generate and consume messages from several real-time streaming sources like Twitter.
- Illustrate the basic and advanced features to design and build a high throughput messaging system.
- Understand the Kafka API and Kafka stream APIs in detail.
- Develop a real-life project on your own.
The following are the skills required to master Apache Kafka:
- Basic Java programming knowledge is a must-have skill
- Knowledge of any messaging system
- Knowledge of Linux and Unix- based system
Workshop Experience
The Apache Kafka training conducted at KnowledgeHut is customized according to the preferences of the learner. The training is conducted in three ways:
- Online Classroom training: You can learn from anywhere through the most preferred virtual live and interactive training.
- Self-paced learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts.
- Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.
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:
- Windows/ Mac/ Linux machine
- Minimum 4GB of RAM
- 5GB of disk space
- i3 Processor or above
- An operating system of 64 bit
- Internet speed: Minimum 1 Mb/s
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:
- Content messaging queue in The New York Times-
The New York Times uses Apache Kafka to produce content for a number of different systems.
- Kafka stream API in Pinterest-
At Pinterest, they use Kafka Streams API to provide inflight spend data to thousands of ads servers in fewer seconds.
- Analytical Pipeline using Kafka in Trivago-
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.
Online Experience
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:
- You can watch the online recording of the session
- You can attend the missed class in any other live batch
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
- Kafka is considered as a suitable platform for fast processing of real-time message feeds
- Apache Kafka skilled professionals can exhibit their expertise in the quickly developing Big Data industry
- Apache Kafka certified professionals have a hold on Kafka tools which are used to process a huge amount of data making their enterprise embrace Big Data analytics with ease.
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.
Finance Related
We accept the following payment options:
- PayPal
- American Express
- Citrus
- MasterCard
- Visa
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.
Have More Questions?
Apache Kafka Course in Mexico City
apache kafka training in mexico
Mexico is the largest city of Mexico. It has over 23.1 million people making it the most populous city in North America. It ranks 8th in terms of GDP as its size of the economy is USD 411 billion. If Mexico City would€™ve been a country, in 2013 it would be the fifth-largest economy in entire Latin America. It is the fastest-growing GDP with a very high Purchasing Power Parity. Many start-ups in various fields are expecting high returns, in both online and offline ventures. It has many national institutions, and one of them is named a World Heritage Site by UNESCO in 2007. apache kafka Certification in mexico is a lucrative course that in a short span of time investment ensures to the enroller, job satisfaction in long run.
About the apache kafka Course in mexico
apache kafka Online course in mexico is most demanded IT course for today. At the end of the course, enrolled is equipped with skills to develop applications and able to process large-scale data along with real-time analytics through the Apache Kafka. The course makes an enroller work practically on configuring Kafka Producer and single Node Multi broker. The course guarantees up to date knowledge, and therefore another requisite is that one has to learn Apache Storm and Hadoop from its fundamentals. The course is of 70 hours in tutorial formats with 24hrs of live sessions and requires practical training with 3 Real-Time projects.
Why should you take up the Apache Kafka course in Mexico?
The benefits that can be reaped out of huge data analytics are very beneficial to any industry, be it retail, finance or manufacturing. The course gives you the ability to work in multiple profiles like with Kafka. The Pay offered is of an average $140,642 for a beginner. Doing Apache Kafka course in Mexico is a must, because of the opportunities this city will come soon in the future offer to Kafka experts.
The KnowledgeHut advantage forApache Kafka online course in Mexico
KnowledgeHut coaching is an online and offline training institute that guarantees quality in the education and training programmes that the academy offers. It scans the market needs and develops a course that is very beneficial for the trainees or enrollers who either are students or employed people of various industries under certified trainer groups. It guarantees a hands-on approach to learning and ensures that the industrialists themselves teach and share their experience. The institution has a lot to offer for every type of enroller and any time as it offers a 24-hour online tutoring.
So why wait? Register for the Apache Kafka online course in Mexicohere.
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