{"id":21363,"date":"2023-11-08T17:49:17","date_gmt":"2023-11-08T16:49:17","guid":{"rendered":"https:\/\/www.huwise.com\/?post_type=glossary&p=21363"},"modified":"2023-11-08T17:49:17","modified_gmt":"2023-11-08T16:49:17","slug":"data-streaming","status":"publish","type":"glossary","link":"https:\/\/www.huwise.com\/en\/glossary\/data-streaming\/","title":{"rendered":"Data Streaming"},"content":{"rendered":"

In the era of Big Data, the Internet of Things (IoT), and machine learning, data streaming is critical for numerous industries. Sensors, the three V\u2019s of Big Data (volume, velocity, and variety), and AI<\/a> facilitate real-time information transmission through data streaming. However, its implementation and management in organizations poses significant challenges in terms of technology, security, cost, and regulatory compliance.<\/p>\n

What is data streaming? How does it facilitate informed decision-making? And what challenges do organizations face when implementing it?<\/p>\n

What is Data Streaming?<\/h2>\n

Data streaming refers to the continuous process of transmitting, analyzing, and processing data as it is generated. This approach enables organizations to analyze data in real-time, enabling more responsive, immediate, decision-making as well as underpinning new applications, especially in IoT<\/a>, online media, and live data analysis.<\/p>\n

It is important not to confuse “data streaming” and “stream computing”. The former involves continuous data collection, while the latter entails continuous data processing.<\/p>\n

Data Streaming: A Key Asset for Enhanced Decision-making within Ecosystems<\/h2>\n

Data streaming allows organizations and individuals to make better decisions based on real-time information.<\/p>\n

Diverse Applications of Data Streaming in Enterprises<\/h3>\n

Data streaming provides companies operating in complex and fast-changing markets with significant business advantages. Here are three common use cases:<\/p>\n