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Apache Kafka Course Description
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.
Who should go for this training?
This Apache Kafka 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 career 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, who are working on projects related to Messaging Systems
- Admins, who want to gain acceleration in their careers as a "Apache Kafka Administrator
Requirements
Computer or laptop or Smartphone with Highspeed Internet Connection
Fundamental knowledge of Java concepts is mandatory
Apache Kafka Course Syllabus
- Introduction to Big Data
- Big Data Analytics
- Need for Kafka and What is Kafka?
- Kafka Features and Concepts
- Kafka Architecture and Components
- ZooKeeper
- Where is Kafka Used?
- Kafka Installation
- Kafka Cluster and Types of Kafka Clusters
- Configuring Single Node Single Broker Cluster
- Configure Kafka Producer
- Constructing Kafka Producer
- Kafka Producer APIs
- Handling Partitions
- 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
- Understand Kafka Internals
- Explain how Replication works in Kafka
- Differentiate between In-sync and Out-off-sync Replicas
- Understand the Partition Allocation
- Classify and Describe Requests in Kafka
- Configure Broker, Producer, and Consumer for a Reliable System
- Validate System Reliabilities
- Configure Kafka for Performance Tuning
- Understand Use Cases of Cross-Cluster Mirroring
- Learn Multi-cluster Architectures
- Explain Apache Kafka’s MirrorMaker
- Perform Topic Operations
- Understand Consumer Groups
- Describe Dynamic Configuration Changes
- Learn Partition Management
- Understand Consuming and Producing
- Explain Unsafe Operationst
- Considerations When Building Data Pipelines
- Metric Basics
- Kafka Broker Metrics
- Client Monitoring and Lag Monitoring
- End-to-End Monitoring
- Kafka Connect and When to Use Kafka Connect?
- Kafka Connect Properties
- Stream Processing
- Stream-Processing Concepts
- Stream-Processing Design Patterns
- Kafka Streams by Example
- Kafka Streams: Architecture Overview
- Question-Answer Session
- 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
- Flume Basics
- Integration of Kafka with Flume
- Cassandra Basics such as and KeySpace and Table Creation
- Integration of Kafka with Cassandra
- Talend Basics
- Integration of Kafka with Talend
- Question-Answer Session
- Knowledge Check
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