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.
Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times
Advanced Fraud Detection is an approach that uses advanced technologies such as artificial intelligence, machine learning, and big data analytics to detect and prevent fraud
Hybrid Cloud Computing is a cloud computing model in which enterprises take advantage of the advantages of both models by using a combination of private cloud and public cloud infrastructures.
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