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Data: Massive Carbon Emissions Attributed to Long-term Storage of Unused Data
We’ve been convinced that storing data digitally saves trees and is a green pursuit. The flip side to storing data electronically though is that it has become too easy to do and increasingly data and documents are being stored that…
Data Classification: Key for Improving Search, Discovery and Compliance
Data classification categorizes and labels data based on content, importance, and sensitivity. Doing so makes data search, sort and retrieval easier to do. Data that is organized by classification can be better managed for risk, discovery and compliance. Based on…
Data Drift: Models Break when Data Context Changes
Data may seem like something that’s immutable and constant. But data is only relevant to the time and context in which it was collected. Time goes on. Contexts change. This presents a problem for applications like big data and data…
Data Science: The Importance of Data Engineers
With the rise in the importance of data in businesses, for use in analytics, AI and Big Data processing, the role of the data engineer has only recently appeared, but it has already become an important role for many businesses.…
Data Resiliency: Protecting Against Data Loss
Resiliency in IT refers to systems that can survive failures while still remaining functional for the end user. Data resiliency means that despite system failures, the data itself remains intact and unaffected. The Global Data Resiliency Market is expected to…