Real-Time Data Ingestion
Real-time data ingestion allows the collection and processing of data from a wide range of sources in real- or near real time. Streaming data is one type of real-time data ingestion. Real-time ingestion of both transactional and analytical data types is increasingly important for businesses across a spectrum of industries. In e-commerce and retail, real-time transactional data ingestion allows companies to more accurately and rapidly forecast demand, maintain just-in time stock, or adjust pricing. For manufacturing, real-time analytical data ingestion can provide IoT sensor alerts and maintenance data that can help reduce factory floor downtime and optimize production output.
Read more about Snowflake data ingestion best practices.