摘要： 串流資訊平台(Streaming data platforms)和接近實時的分析系統還是有所差異，在特定的情境(製程、供應鏈、ERP等)會帶給企業許多優勢，以及創造新商業模式的機會。
▲圖片標題(具有U-bend的隔熱水管可以透過擴張和收縮來調整管內液體溫度(Douglas County, Georgia) Credit: Google/Connie Zhou)
因各種應用出現，低延遲資料的收集越來越被關注
Data-driven strategies are becoming a greater part of an organization's DNA. Executive management is embracing how data can be used to create, sustain, and strengthen competitive advantage. Disruptive companies are building business models based on data that other organizations leave behind. Employees are growing into the role of data analysts as part of their day-to-day responsibilities, and companies are introducing new data sources to continue this trend.
Specifically, data-driven strategies can be seen in the way that organizations are taking advantage of modern technical architectures in mobility, cloud, and device sensors, and integrating that information into new ways of doing business. The use of location-based mobile apps, optimized supply chains for online retail applications, and the introduction of the internet of things, increased the focus on low-latency data collection, transformation, and analytics.
We can already perform analytics in near real-time, so why do we need a streaming data platform?
The simple answer is that the low-latency many streaming applications require and that streaming data platforms provide is associated with the acquisition and integration of data sources as opposed to simply the processing of the data into analytics.
更多內容請見轉貼來源
轉貼自： InfoWorld:Introduction to streaming data platforms, by John L. Myers
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