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.
Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
The classic definition of a digital twin is: “A digital twin is a virtual model designed to accurately reflect a physical object.”
Customer churn rate is a business measurement that reflects the percentage of customers who end their relationship with a company within a certain period of time. This time period can be measured monthly, quarterly or annually, depending on the industry and product.
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