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Kafka

Introduction

Kafka

Introduction Kafka - Fundamentals What is a messaging system in Kafka? Point to point messaging System Publish-subscribe messaging System What are Events? Kafka and Events Importance of Kafka Kafka - Cluster Architecture Core APIs of Kafka Kafka - Work Flow Zookeeper in Kafka Kafka - Installation Steps Installation of Kafka on Windows Setting Kafka Directory Path Installation of Zookeeper Kafka - Basic Operations Creating a Kafka topic Get a list of Topics Start Producer to Send Messages Start Consumer to receive messages Deleting a Topic in Kafka cluster Modifying a Topic in Kafka cluster Simple Producer Example Producer API ProducerRecord API Consumer Group Example Integration With Storm How to integrate with Storm? KafkaSpout API Integration With Spark How to integrate with Spark? . Real-Time Application (Twitter) Apache Kafka - Tools System tools Replication tool Apache Kafka - Applications LinkedIn Twitter Netflix Oracle Mozilla Uber

Introduction

Kafka - Fundamentals >

Originally developed by LinkedIn, Apache Kafka is an open-source distributed streaming platform that allows communication and integration between servers, processors, and applications. It is used for logging and processing data at a large scale. Presently, it is managed by Apache Software Foundation under Confluent. 

Apache Kafka is written in Scala and Java. The name Kafka was chosen by its creators after the prominent author Franz Kafka.

If you aspire to make a successful career in Big Data, then you must have a good understanding of Apache Kafka clusters. The enormous amount of data handling poses two main challenges -  to collect staggering volumes of data and then to analyze it. 

To overcome this problem, we need a message broker. Kafka is a good fit for the messaging system within high-end distributed systems. It offers a scalable and built-in partitioning system that is resilient to errors and failures. It supports an automatic recovery system making it ideal for communication in real-world applications. 

Moreover, it allows for a plethora of permanent customers making it a great replacement for traditional message broker systems. 

 

Higher reliability and inherent fault-tolerance make Kafka a desirable choice for over 80% of Fortune 100 companies. It is trustworthy and permanently stores streams of data in its durable clusters. Additionally, it can stretch clusters over large geographical regions efficiently. The built-in streaming facilitates seamless streaming of events and its Connect interface can connect to almost every event source to process events in a myriad of programming languages.  

 

Kafka - Fundamentals >

JavaScript
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C++
C++ Introduction C++ environment Setup C++ Syntax C++ Comments C++ Data Types C++ Variable Types C++ Variable Scope C++ Constants and Literals C++ Modifier Types. C++ Storage C++ Operators C++ Loop Types C++ Decision Making C++ Functions C++ Arrays C++ Strings C++ Pointers C++ References C++ Date & Time C++ Input and Output C++ Data Structures
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Kafka
Introduction Kafka - Fundamentals What is a messaging system in Kafka? Point to point messaging System Publish-subscribe messaging System What are Events? Kafka and Events Importance of Kafka Kafka - Cluster Architecture Core APIs of Kafka Kafka - Work Flow Zookeeper in Kafka Kafka - Installation Steps Installation of Kafka on Windows Setting Kafka Directory Path Installation of Zookeeper Kafka - Basic Operations Creating a Kafka topic Get a list of Topics Start Producer to Send Messages Start Consumer to receive messages Deleting a Topic in Kafka cluster Modifying a Topic in Kafka cluster Simple Producer Example Producer API ProducerRecord API Consumer Group Example Integration With Storm How to integrate with Storm? KafkaSpout API Integration With Spark How to integrate with Spark? . Real-Time Application (Twitter) Apache Kafka - Tools System tools Replication tool Apache Kafka - Applications LinkedIn Twitter Netflix Oracle Mozilla Uber
Spring
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Introduction Kafka - Fundamentals What is a messaging system in Kafka? Point to point messaging System Publish-subscribe messaging System What are Events? Kafka and Events Importance of Kafka Kafka - Cluster Architecture Core APIs of Kafka Kafka - Work Flow Zookeeper in Kafka Kafka - Installation Steps Installation of Kafka on Windows Setting Kafka Directory Path Installation of Zookeeper Kafka - Basic Operations Creating a Kafka topic Get a list of Topics Start Producer to Send Messages Start Consumer to receive messages Deleting a Topic in Kafka cluster Modifying a Topic in Kafka cluster Simple Producer Example Producer API ProducerRecord API Consumer Group Example Integration With Storm How to integrate with Storm? KafkaSpout API Integration With Spark How to integrate with Spark? . Real-Time Application (Twitter) Apache Kafka - Tools System tools Replication tool Apache Kafka - Applications LinkedIn Twitter Netflix Oracle Mozilla Uber
JavaScript C++ DevOps Cloud Computing PHP Blockchain Operating System IOT Kotlin WordPress Ajax Angular 7 Manual Testing Jenkins MS Access Kafka Spring ASP.NET JMETER Tkinter Informatica JPA Magento 2 Bash Gimp NO SQL JSON bootstrap Software Testing Data structure Hacking PLSQL CSS Powerpoint Vbscript LINQ iOS Android Digital Marketing VB.Net HTML Tutorial AWS Django Keras Java React JS PyCharm Natural Language Processing Data Science