According to the International Chamber of Shipping, the maritime industry has increased fourfold in the last four decades. As the complexity of marine trade increases, ports and shipping companies need […]

Lately, companies, in their efforts to engage in real-time decision-making by exploiting big data, have been inclined to find a suitable architecture for this data as quickly as possible. With […]

Lurking in the shadows of every organization is a silent giant—dark data. Undiscovered log files, unread emails, silent sensor readings, and decades-old documents collecting digital dust are all examples of […]

Incremental computation in data streaming means updating results as fresh data comes in, without redoing all calculations from the beginning. This method is essential for handling ever-changing information, like real-time […]

We call this an event when a button is pressed, a sensor detects a temperature change or a transaction flows through. An event is an action or state change that is […]

Apache Paimon is made to function well with constantly flowing data, which is typical of contemporary systems like financial markets, e-commerce sites, and Internet of Things devices. It is a […]

A data fabric is an innovative system designed to seamlessly integrate and organize data from multiple sources, making it easily accessible, usable, and shareable. Think of it as a connected […]

Data is being generated from various sources, including electronic devices, machines, and social media, across all industries. However, unless it is processed and stored effectively, it holds little value. A […]

Over the past few years, Apache Kafka has emerged as the top event streaming platform for streaming data/event ingestion. However,  in earlier version 3.5 of Apache Kafka, Zookeeper was the […]

A distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient. Businesses can quickly and effectively respond to user behavior patterns by utilizing real-time analytics. This […]