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Logicwaves Academy brings you an open-sourced course based on the real-time processing system “Apache Kafka”. Kafka was started as an internal LinkedIn project to streamline data transmission and propagation among several major SaaS (Software as a Service) applications that are used on a daily basis. Majorly designed to work with large-scale data movements Kafka offers seamless performance, reliability, and real-time processing on high-velocity data.
Basically, if you’re interested in Big Data, then Apache Kafka is a must-know tool for you…
The designed course will take you through the architecture, installation, and configuration of Kafka that enables it to process large strings of data in real-time. The further study also introduces the way speed and performance in Kafka ensure its smooth functioning as a cluster on multiple servers, enabling it to incorporate with several data centers.
The course introduces you to Kafka theory and provides you with a hands-on understanding of Kafka, its development in Java, knowledge of Kafka API streams, ways to execute Kafka commands, and finally developing cutting-edge solutions for big data.
3. Kafka APIs
Learn the technique to construct and process messages in Kafka APIs, for producers, consumers, etc.
4. Kafka Illustrations
5. Cluster Build-up
Understand the working of the Kafka cluster and its integration with other Big Data Frameworks like Hadoop.
6. Kafka Integration
Recognize and learn the various methods that are important and are used for integrating Kafka with Storm, and Spark.
Understand the role of Kafka in the Big Data space. Gain the knowledge of Kafka build-up, Kafka Cluster its elements, and ways to configure it.
Introduction to Big Data
Big Data Analytics
Need for Kafka
What is Kafka?
Kafka Features
Kafka Concepts
Kafka Build-up
ZooKeeper
Application of Kafka
Kafka Installation
Kafka Cluster
Types of Kafka Clusters
Kafka Installation
Executing Single Node-Single Broker Cluster
Learn the ways to build Kafka Producer, convey messages to Kafka, Synchronously & Asynchronously, configure Producers, serialize using Apache Avro, and design & handle Partitions.
Configuring Single Node Single Broker Cluster
Configuring Single Node Multi Broker Cluster
Constructing a Kafka Producer
Transmitting a Message to Kafka
Producing Keyed and Non-Keyed Messages
Transferring a Message Synchronously & Asynchronously
Configuring Producers
Serializers
Serializing Using Apache Avro
Partitions
Operating Single Node Multi Broker Cluster
Designing Kafka Producer
Configuring a Kafka Producer
Sending a Message Synchronously & Asynchronously
Understand Kafka setup, Kafka Consumer, process communications using Kafka with Consumer, run Kafka Consumer, and subscribe to Topics.
Study 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
Utilizing Records with Specific Offsets
Deserializers
Creating a Kafka Consumer
Configuring a Kafka Consumer
Working with Offsets
Explore the ways Kafka can meet your high-performance needs
Cluster Membership
The Controller
Replication
Request Processing
Physical Storage
The Poll Loop
Dependability
Broker Configuration
Utilizing Producers in a Reliable System
Utilizing Consumers in a Reliable System
Validating System Reliability
Performance Tuning in Kafka
Formulating a topic with partition & replication factor 3 and executing it on a multi-broker cluster
Showing fault tolerance by shutting down 1 Broker and serving its partition from another broker.
Get in-depth knowledge of Kafka Multi-Cluster Architectures, Kafka Brokers, Topic, Partitions, Consumer Group, Mirroring, and ZooKeeper Coordination in the following course.
Multi-Cluster Architectures
Apache Kafka’s MirrorMaker
Additional Cross-Cluster Mirroring Solutions
Topic Operations
Consumer Associations
Dynamic Configuration Settings
Partition Management
Consuming and Producing
Risky Operations
Topic Operations
Consumer Group Operations
Partition Operations
Consumer and Producer Operations
The course covers a range of topics in Kafka Streams API. Stream is a custom library that helps to build mission-critical real-time applications and microservices, wherein, the input and/or output data is collected in Kafka Clusters.
Stream Processing
Stream-Processing Core-Concepts
Stream-Processing Design Patterns
Kafka Streams with Examples
Kafka Streams: Architecture Survey
Kafka Streams
Word Count Stream Processing
Get acquainted with Apache Hadloop, Hadloop Architecture, Apache Storm, Storm Configuration, and Spark surroundings. Along with, configuring Spark Cluster, Integrating Kafka with Hadloop, Storm, and Spark.
Fundamentals of Apache Hadloop
Hadloop Configuration
Kafka Integration with Hadloop
Fundamentals of Apache Storm
Arrangement of Storm
Integration of Kafka with Storm
Fundamentals of Apache Spark
Spark Configuration
Kafka Integration with Spark
Kafka integration with Hadloop
Kafka integration with Storm
Kafka integration with Spark
Apache Kafka is majorly used for 3 main functions :
Publish and subscribe to streams of records.
Effectively store streams of records in the order in which records were generated.
Process streams of records in real-time.
Get certified in Apache Kafka by taking up a certification course. Logicwaves Academy provides the best course in the industry, with the best quality training by on-field experts to gain hands-on extensive experience.
You’ll get hands-on expertise by building real-world projects as you move further in the course.
Install Apache Kafka on Windows
STEP 1: Install JAVA 8 SDK on your system
STEP 2: Download and Install Apache Kafka Binaries
STEP 3: Generate a Data folder for Zookeeper and Apache Kafka
STEP 4: Replace the default configuration value
STEP 5: Start Zookeeper
STEP 6: Start Apache Kafka.
Windows or Unix or Mac
Java
2GB RAM
500GD Disk
Get certified in Apache Kafka by taking up a certification course. Logicwaves Academy provides the best course in the industry, with the best quality training by on-field experts to gaining hands-on extensive experience.
Get hold of concepts from the fundamentals, and promote your training through step-by-step guidance on tools and techniques.
You’ll get hands-on expertise by building real-world projects as you move further in the course.
Right from Kafka basics to complete practical knowledge, our one-to-one training and interactive teaching help you master all the needed skills. Quizzes and exercises along with real-time projects help you gain practical expertise and knowledge that will help you bang any job interview. Land a job of your dreams, and become an Apache Kafka expert.
Kafka Developers
Kafka Testing Professional
Big Data Architect in Kafka
Kafka Project Manager
