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.
Zero-based budgeting is an effective tool for organizations to control costs, manage resources, improve business processes, and improve performance.
SaaS (Software as a Service) is a cloud computing model that refers to the delivery of software as a service over the internet.
Product lifecycle management refers to the examination of a product as it goes through certain stages of its lifecycle.
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