Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range...
In today’s information age, data is a key ingredient to success. However, while it’s important, having availability to the right data and being able to analyze it to glean critical and accurate insights is essential. As Albert Einstein once put it, “Not everything that can be counted c...
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Based on this literature, we extract requirements for technical support and provide an overview of digital transformation technologies for information modelling, distribution, and integration. We ask how these technologies could address the issues identified in the psychological literature section and discuss...
Expanded breach liability beyond breaches of unencrypted data to disclosures of credentials (like an email address or password) that could lead to access to a consumer’s account Limited the duration of time a company may retain a consumer’s information to only what’s necessary and “proportiona...
Big Data Technology refers to the tools or technologies used to efficiently process high-volume, high-velocity, and high-variety information classified as big data, such as Apache Hadoop, Apache Spark, and Apache Cassandra. AI generated definition based on: Computer Communications, 2020 ...
Data availability statement: Data cannot be shared publicly, because data from this study may contain potentially or sensitive patient information. Data are anonymized, however nevertheless, due to relatively few severe cases, patients could be identified (Medical Ethics Committee Brabant). Therefore, da...
centric approach to a more user-friendly, people-centric approach. Today, users expect to work from any location using their own devices, running company apps, and accessing company data on those devices. This evolving user behavior brings new challenges to company infor...
Value.Data has intrinsic value in business. But it’s of no use until that value is discovered. Because big data assembles both breadth and depth of insights, somewhere within all of that information lies insights that can benefit your organization. This value can be internal, such as operati...
Data lakes are also core components of data lakehouses, a relatively newdata managementsolution that combines the low-cost storage of a lake and the high-performance analytics capabilities of a warehouse. (For more information, see “Data lakes vs. data lakehouses”). ...