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Kafka

Importance of Kafka

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

Importance of Kafka

< Kafka and Events

Kafka - Cluster Architecture >

Kafka collects, handles, and processes a high volume of data for both online and offline consumption. It is extremely fast and prevents data loss. Some of the key benefits of using Kafka are summarized below -

 

  • Reliable data integration - Kafka can efficiently integrate with any data source within the information system to distribute, partition, and replicate data without any faults. 
  • Scalable - Kafka is easily scalable with high throughput.
  • High fault tolerance - Kafka offers stable performance throughout with high fault tolerance which makes it perfect to be used in leading financial industries for fraud detection and IoT. 
  • Monitoring data - Kafka finds its applications in monitoring operational data for producing centralized feed. You can also obtain real-time metrics from the data.
  • Stream processing - It tracks web activities and performs real-time computations to store and process streams of data at any scale. It also undergoes continuous processing of data into topics. 
  • High performance - Kafka offers high and error-free performance for both subscribing and publishing the messages. It is very durable in collecting multiple logs and stream processing.
  • Transforming data - Kafka is used in many industries to handle unlimited feeds and collect logs from multiple services. These are then converted into the standard format.
  • Zero downtime - Kafka is very flexible and guarantees zero downtime. 

< Kafka and Events

Kafka - Cluster Architecture >

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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
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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