Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
Gesture Recognition (Hareket Tanıma), bir kullanıcının fiziksel hareketlerini (el, kol, yüz veya vücut hareketleri) algılayarak, bu hareketleri dijital komutlara dönüştüren bir teknolojidir.
Explore the world of Internet of Things (IoT), a powerful technology that is reshaping our lifestyles, work systems, and industries. Learn what IoT means, its applications, advantages and key role in driving the fourth industrial revolution.
Predictive analysis, a type or extension of predictive analysis, is used to recommend or predict certain actions when certain information states are reached or conditions are met.
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