Apache Kafka is an open-source stream processing platform developed by theApache Software Foundation written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
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What is Kafka?
Apache Kafka is a distributed publish-subscribe messaging system and a robust queue that can handle a high volume of data and enables you to pass messages from one end-point to another. Kafka is suitable for both offline and online message consumption. Kafka messages are persisted on the disk and replicated within the cluster to prevent data loss. Kafka is built on top of the ZooKeeper synchronization service. It integrates very well with Apache Storm and Spark for real-time streaming data analysis.
After the completion of Real-Time Analytics with Apache Kafka course at Jenrac, you should be able to:
•Understand Kafka and its components
•Set up an end to end Kafka cluster along with Hadoop and Yarn cluster
•Integrating Kafka with real time streaming systems like Spark & Storm
•Describe the basic and advanced features involved in designing and developing a high throughput messaging system
•Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter
•Understanding the insights of Kafka API
•Work on a real life Project, implementing Twitter streaming with Kafka, Hadoop & Storm
This course is designed for professionals who want to learn Kafka techniques and wish to apply it on Big Data. It is highly recommended for:
Developers who want to gain acceleration in their careers as a "Kafka Big Data Developer"
Testing professionals who are currently involved in Queuing and Messaging systems
Big Data Architects who like to include Kafka in their ecosystem
Project Managers involved in projects of messaging systems
Classroom Training: An Instructor led training in our dynamic learning environment based in our office at West London. The classroom is fitted with all the essential amenities needed to ensure a comfortable training experience and with this training you will have an opportunity to build a Networking with other learners, share experiences and develop social interaction.
Online: Unlike most organisations our online based training is a tutor led training system similar to the classroom based training in every given aspect making it more convenient to the students from any location around the world and also cost effective.
Onsite: This training is specifically made for the Corporate clients who wish to train their staff in different technologies. The clients are given an opportunity where they can tailor the duration of course according to their requirements and the training can be delivered in house/ at your location of choice or online.
Customised one to one: A tailored course for students looking for undeterred attention from the tutor at all the times. The duration of course and contents of the course are specifically customised to suite the students requirements. In addition to it the timings of the trainings can also be customised based on the availability of both the tutor as well as the student.
• What is Big data
• How is it Evolved
• Four Dimensions (Four V's of big data)
• Use cases of big data
• Different Tools to process big data
• What is Hadoop ?
• Why learn Hadoop ?
• Relational Databases Versace Hadoop
• Motivation for Hadoop
• 6 Key Hadoop Data Types
• Introduction to Hdfs
• Deamons of Hdfs
• Hdfs commands
• Map reducing Introduction
• Map reduce Functionality
• Role of Hive in Map Reduce
• Map reduce Use cases
• What is Kafka?
• Need for Kafka
• Core Concepts of Kafka
• Kafka Architecture
• Where is Kafka Used?
In this module, you will be instructed about the details of Kafka Custer and you learn all the components of Kafka Cluster in detail.
Understanding the components of Kafka Cluster
Installation of Kafka Cluster
Configuring Kafka Cluster
Producer of Kafka
Consumer of Kafka
Producer and Consumer in Action.
Architecture of kafka
Installation of zookeeper
Installation of single node kafka
Installation of Kafka in cluster mode
Installation of Multiple kafka nodes in single machine
Produce data into kafka
Uniform Data distribution between partition
High level consumer example
Low level consumer exmaple
MultiThreaded consumer for multiple partitions
Adding and removing topics
In this module, you will understand how to integrate Kafka with Big Data frameworks like Hadoop and Storm.
Understanding the Hadoop Cluster
Integrating Kafka with Hadoop Cluster
Understanding Apache Storm
Implementing Spouts and Bolts
Kafka with Storm Spout.
Students are at the top of our priority list and we always make sure that every student is given the best training possible. In order to provide the best training, all our training modes have been made interactive sessions. Out of all the 4 training modes, the students are given an opportunity to choose a mode of training depending on their requirements. Different training methods have been introduced for individuals as well as for corporates. Unlike most of the online trainings today, Our Online trainings are interactive sessions and are similar to our classroom trainings. The student will be connecting to our Live virtual classroom where they will be able interact with the trainer.
We provide one of the best professional trainings within SAP in the industry. The courses are run by experts with ample industry experience on this subject matter. The course run are well up to professional standards with the latest industry updates. Contact our team at Jenrac Technologies for all your queries.