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
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
Instructor-led Live Classroom
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
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training!
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Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be applied effectively in the real world.
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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:
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 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.
Yes, you can pay the course fee in installments. To avail, please visit our support page. 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 Schedule Page to register yourself for the Apache Kafka Training:
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 Details
Apache Kafka
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.
- Take care with topic configurations
- Use parallel processing
- Configure and isolate Kafka with security in mind
- Avoid outages by raising the Ulimit
- Maintain a low network latency
- Utilize effective monitoring and alerts
- Set log configuration parameters to keep logs manageable
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:
- Electing a controller.
- Cluster membership.
- Topic configuration.
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:
- Messaging
- Activity Tracking
- Metrics & Log Aggregation
- Commit Log
- Stream Processing
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.
Apache Kafka Uses
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 used in Messaging to process large amounts of data
- Kafka with the help of Apache Storm is used to handle big data pipeline
- Kafka is used for operational data monitoring which includes forming statistics from distributed applications and producing centralized feeds of operational data
- Kafka is used to processing huge amount of data in data pipelines
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-velocity and high-volume data to pass thousands of messages per second by providing high-throughput.
- Kafka can handle a huge amount of messages with very low latency (milliseconds).
- Kafka includes durability feature that replicates the messages and messages are never lost.
- The distributed feature in Kafka makes it highly scalable and capable of replicating and partitioning the data.
- Kafka is resistant to machine failure that achieves fault-tolerant feature.
- The best bit about Kafka is that it is consumer friendly acting according to consumers needs.
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:
- It acts as a buffer so your systems won’t crash
- Reduces the need for multiple integrations
- Low latency and high throughput
Companies that have used Kafka or using Kafka to build the applications are:
- New York Times,
- Pinterest,
- Trivago,
- Line,
- Rabobank
The various use-cases of Apache Kafka are:
- Messaging,
- Event streams,
- Tracking and logging,
- Infinitely scalable
Kafka Installation
.\bin\windows\kafka-server-start.bat .\config\server.properties
Apache Kafka needs following system requirements to run Apache Kafka:
- Windows Or Unix Or Mac,
- Java,
- 2GB RAM,
- 500GD Disk
ZooKeeper Installation:
- Go to your Zookeeper config directory. For me its C:\zookeeper-3.4.7\conf
- Rename file “zoo_sample.cfg” to “zoo.cfg”
- Open zoo.cfg in any text editor, like Notepad; I prefer Notepad++.
- Find and edit dataDir=/tmp/zookeeper to :\zookeeper-3.4.7\data
- Add an entry in the System Environment Variables as we did for Java.
- Add ZOOKEEPER_HOME = C:\zookeeper-3.4.7 to the System Variables.
- Edit the System Variable named “Path” and add ;%ZOOKEEPER_HOME%\bin;
- You can change the default Zookeeper port in zoo.cfg file (Default port 2181).
- Run ZooKeeper by opening a new cmd and type zkserver.
- You will see the command prompt with some details, like the image below:
Setting Up Kafka:
- Go to your Kafka config directory. For me its C:\kafka_2.11-0.9.0.0\config
- Edit the file “server.properties.”
- Find and edit the line log.dirs=/tmp/kafka-logs” to “log.dir= C:\kafka_2.11-0.9.0.0\kafka-logs.
- If your ZooKeeper is running on some other machine or cluster you can edit “zookeeper.connect:2181” to your custom IP and port. For this demo, we are using the same machine so there's no need to change. Also the Kafka port and broker.id are configurable in this file. Leave other settings as is.
- Your Kafka will run on default port 9092 and connect to Zookeeper’s default port, 2181.
Running a Kafka Server:
Important: Please ensure that your ZooKeeper instance is up and running before starting a Kafka server.
- Go to your Kafka installation directory: C:\kafka_2.11-0.9.0.0\
- Open a command prompt here by pressing Shift + right click and choose the “Open command window here” option).
- Now type .\bin\windows\kafka-server-start.bat .\config\server.properties and press Enter.
.\bin\windows\kafka-server-start.bat .\config\server.properties
You can verify by starting zookeeper or by creating topics.
- kafka/bin/zookeeper-server-start.sh kafka/config/zookeeper.properties
- kafka/bin/kafka-server-start.sh kafka/config/server.properties
- kafka/bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 13 --topic my-topic
Learn Apache Kafka
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:
- Learn Apache Kafka for Beginners
- Apache Kafka Series - Learn Apache Kafka for Beginners
- Learn Apache Kafka for Beginners
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
Apache Kafka Certification and Training
You can become certified in Apache Kafka in by taking up certification course. Here is the list of the best training providers:
- Mind Majix
- Intellipaat
- KnowledgeHut
- Croma Campus
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.
- Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
- You’ll get hands-on experience by building the real-world projects at the end of the course.
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.
Career scope and Salary
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:
- Kafka Developers
- Kafka Testing Professional
- Big Data Architect in Kafka
- Kafka Project Manager
After completion of the course, you will learn the following:
- Kafka and its components
- Kafka cluster, along with its setup and installation
- Kafka operations and performance tuning
- Integrating Kafka with Storm and Hadoop
- Integrating Kafka with Spark
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:
- Kafka is extremely popular among the prime companies like Twitter, LinkedIn, Netflix, Mozilla, Oracle, and many more.
- According to Indeed, the average salary for Apache Kafka Architect ranges from approximately $94,661 per year for Senior Technical Lead to $141,535 per year for Software Architect.
- Kafka is used in numerous industries including business services, retail, finance, manufacturing, etc.
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.