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.
Artificial intelligence refers to machine simulations programmed to mimic human intelligence, thought structure, and actions.
Real-Time Analytics is a process that allows data to be analyzed at the moment it is collected and actions based on these analyzes are taken instantly.
Real-time data analytics is the process of analyzing data at the moment or within a very short period of time and making the results available immediately
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