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Edureka Apache Kafka Certification Training helps you learn the concepts about Kafka architecture, Kafka cluster configuration, Kafka producer, Kafka consumer, Kafka monitoring.
Apache Kafka certification training is designed to provide information on integrating Kafka with
Hadoop, Storm and Spark, understand the Kafka Stream APIs, implement Twitter Streaming with Kafka,
Channel through real life case studies.
ABOUT THE COURSE
Apache Kafka certification training is designed to give you the knowledge and skills to become a successful Kafka Big Data developer. The training covers fundamental Kafka concepts (such as Kafka Cluster and Kafka API) and covers advanced topics (such as Kafka Connect, Kafka streams, Kafka Integration with Hadoop, Storm and Spark) allowing you to gain experience with Apache Kafka.
OBJECTIVES OF THE COURSE
After completing the Real-Time Analytics with Apache Kafka course in Edureka, you should be able to: Learn Kafka and its components Establish an end-to-end Kafka cluster alongside Hadoop cluster and YARN Integrate Kafka with real-time streaming systems such as Spark & Storm Describe the basic and advanced features involved in the design and development of a high-performance messaging system. Use Kafka to produce and consume messages from various sources, including streaming sources like Twitter Get an overview of the Kafka API Understand the Kafka Stream APIs Work on a real-life project, 'Implementing Twitter Streaming with Kafka, Flume, Hadoop and Storm
INTRODUCTION TO BIG DATA AND APACHE KAFKA. Objective: In this module, you will understand where Kafka fits in the space of Big Data and Kafka Architecture. In addition, you will learn about Kafka Cluster, its components, and how to configure the capabilities of a cluster: Kafka Concepts Installing Kafka Configuring Kafka Cluster Objectives: At the end of this module, you should be able to: Explain what Big Data is Understand why Big Data Analytics is important Describe the need for Kafka Know the role of each Kafka component Understand the role of ZooKeeper Install ZooKeeper and Kafka Classify different types of Kafka Clusters Work with a single node - Single Broker Cluster Topics: Introduction to Big Data Big Data Analysis 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 Single Node Configuration Single Agent Cluster How To: Kafka Installation Single Node Deployment Single Agent Cluster Get a detailed course schedule delivered to your inbox Download the blueprint of studies
KAFKA PRODUCER. Purpose: Kafka producers send logs to topics. Logs are sometimes called messages. In this module, you will work with different Kafka Producer APIs. Skills: Configure Kafka Producer Build Kafka Producer Kafka Producer API Manage partitions Objectives: At the end of this module, you should be able to: Build a Kafka Producer Send messages to Kafka Send messages Synchronously and asynchronously Configure producers Serialize using Apache Avro Create and manage Themes of Partitions: Configuring a Single Node Single Broker Cluster Building a Kafka Producer Sending a Message to Kafka Producing Keyed and Unkeyed Messages Sending a Message Synchronously and Asynchronously Producer Serializers Serialization with Apache Avro Partitions Hands On:
KAFKA CONSUMER. Purpose: Applications that need to read data from Kafka use a Kafka consumer to subscribe to and receive messages from Kafka topics. In this module, you will learn how to build Kafka Consumer, process Kafka messages with Consumer, run Kafka Consumer, and subscribe to Topics Skills: Configure Kafka Consumer Kafka Consumer API Build Kafka Consumer Objectives: By the end of this module, you should be able to: Perform operations on Kafka Define consumer groups and Kafka consumers Explain how partition balancing occurs Describe how partitions are mapped to the Kafka Broker Configure Kafka Consumer Create a Kafka consumer and subscribe to topics Describe and implement different types of commitment Deserialize received messages Topics:
KAFKA INTERNALS. Objective: Apache Kafka provides a unified, high-performance, low-latency platform for handling real-time data feeds. Learn more about tuning Kafka to meet your high-performance needs. Skills: Kafka API Kafka Storage Configuration Broker Goals: At the end of this module, you should be able to: Understand the internals of Kafka Explain how replication works in Kafka Differentiate between synchronized and unsynchronized replicas Understand allocation of partitions Classify and Describe requests in Kafka Configure Broker, Producer, and Consumer for a trusted system Validate system reliabilities Configure Kafka for performance tuning issues:
Instructor-led sessions will address all your concerns in real time.
Unlimited access to the course's online learning repository.
Develop a project with live accompaniment, based on any of the cases seen
In each class you will have practical tasks that will help you apply the concepts taught.
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