24 hours of Instructor-led training classes.
Immersive hands-on learning on Apache Kafka.
Acquire knowledge of Kafka Ecosystem and its components.
Master Kafka cluster and its integration with Big Data Frameworks like Hadoop.
Use cases on Content messaging queue, Kafka Stream API, Analytical pipeline.Download Syllabus
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 enrol for this course.
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.
|Introduction to Big Data||Play|
|Big Data Analytics||Play|
|Need for Kafka||Play|
|What is Kafka?||Play|
|Where is Kafka Used?||Play|
|Types of Kafka Clusters||Play|
|Configuring Single Node Single Broker Cluster||Play|
|Configuring Single Node Multi Broker Cluster||Play|
|Constructing a Kafka Producer||Play|
|Sending a Message to Kafka||Play|
|Producing Keyed and Non-Keyed Messages||Play|
|Sending a Message Synchronously & Asynchronously||Play|
|Serializing Using Apache Avro||Play|
|Consumers and Consumer Groups||Play|
|Consumer Groups and Partition Rebalance||Play|
|Creating a Kafka Consumer||Play|
|Subscribing to Topics||Play|
|The Poll Loop||Play|
|Commits and Offsets||Play|
|Consuming Records with Specific Offsets||Play|
|Using Producers in a Reliable System||Play|
|Using Consumers in a Reliable System||Play|
|Validating System Reliability||Play|
|Performance Tuning in Kafka||Play|
|Use Cases - Cross-Cluster Mirroring||Play|
|Apache Kafka’s MirrorMaker||Play|
|Other Cross-Cluster Mirroring Solutions||Play|
|Dynamic Configuration Changes||Play|
|Consuming and Producing||Play|
|Considerations When Building Data Pipelines||Play|
|Kafka Broker Metrics||Play|
|When to Use Kafka Connect?||Play|
|Kafka Connect Properties||Play|
|Kafka Streams by Example||Play|
|Stream-Processing Design Patterns||Play|
|Kafka Streams: Architecture Overview||Play|
|Apache Hadoop Basics||Play|
|Kafka Integration with Hadoop||Play|
|Apache Storm Basics||Play|
|Configuration of Storm||Play|
|Integration of Kafka with Storm||Play|
|Apache Spark Basics||Play|
|Kafka Integration with Spark||Play|
|Integration of Kafka with Flume||Play|
|Cassandra Basics such as and KeySpace and Table Creation||Play|
|Integration of Kafka with Cassandra||Play|
|Integration of Kafka with Talend||Play|
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.
Who should go for this course?
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.
Apache Kafka is one of the most popular publish subscribe messaging systems which is used to build real-time streaming data pipelines that are robust, reliable, fault tolerant & distributed across a cluster of nodes. Kafka supports a variety of use-cases which commonly include Website activity tracking, messaging, log aggregation, Commit log & stream processing. These are reasons why many giants such as Airbnb, PayPal, Oracle, Netflix, Mozilla, Uber, Cisco, Coursera, Spotify, Twitter, Tumblr are looking for professionals with Kafka skills. Getting Kafka certified will help you land your dream job.
To master Apache Kafka, you need to learn all the concepts related to Apache Kafka – Kafka Architecture, Kafka Producer & Consumer, Configuring Kafka Cluster, Kafka Monitoring, Kafka Connect & Kafka Streams. Knowledge of Kafka integration with other Big Data tools such as Hadoop, Flume, Talend, Cassandra, Storm and Spark will be a plus point.
There are a lot of job opportunities for Apache Kafka professionals as it is adopted by both SME & big giants. The average salary of a Software Engineer with Kafka skills is $110,209 whereas a Senior Software Engineer and a Lead Software Engineer can expect average salaries of $131,151 and $134,369 respectively.