Apache Kafka is an open-source messaging platform built to handle real-time streaming, pipelining, and replaying of data for fast, scalable operations.
Apache Kafkais an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Its core architectural co...
In 2011, LinkedIn developed Apache Kafka to meet the company’s growing need for a high-throughput, low-latency system capable of handling massive volumes of real-time event data. Built usingJavaand Scala, Kafka was later open-sourced and donated to theApache Software Foundation. While organizati...
Apache Kafka is distributed message middleware that features high throughput, data persistence, horizontal scalability, and stream data processing. It adopts the publish-subscribe pattern and is widely used for log collection, data streaming, online/offline system analytics, and real-time monitoring. ...
In line with other products by Apache Foundation Software, Kafka has been popularized by giants like Uber and Netflix. Because of its ability to run concurrent processing and move large amounts of data quickly, Kafka is used for big data streams, like Netflix’s big data ingestion platform....
Apache Kafkais a distributed, open source messaging technology that can accept, record, and publish messages at a very large scale,in excess of a million messages per second. Apache Kafka is fast, and it's very reliable. It is designed and intended to be used at web scale. ...
To properly protect your data, you need to know the type of data, where it is, and what it is used for. Data discovery and classification tools can help. Data detection is the basis for knowing what data you have. Data classification allows you to create scalable security solutions, by ...
Eventing: Manages events from various sources, such as apps, cloud services, Software-as-a-Service (SaaS) systems, and streams for Apache Kafka, to trigger functions. Unlike traditional serverless solutions, Knative supports a wide range of workloads, from monolithic apps to microservices and small...
The Hadoop framework of software tools is widely used for managing big data. By 2011, big data analytics began to take a firm hold in organizations and the public eye, along with Hadoop and various related big data technologies. Initially, as the Hadoop ecosystem took shape and started to ...
Apache Spark is an open sourceparallel processingframework for running large-scaledata analyticsapplications acrossclusteredcomputers. It can handle both batch and real-time analytics and data processing workloads. Spark became a top-level project of theApache software foundationin February 2014, and vers...