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.
Data Privacy refers to the secure and confidential protection of personal or sensitive data of individuals or organizations during the collection, storage, sharing and processing of personal or sensitive data.
The word encode has meanings such as “encoding”, "encryption" or “symbolization” and basically involves the conversion of signals and data according to certain rules.
Advanced Analytics is a data analysis method that aims to gain in-depth insights using big data and advanced technologies to improve organizations' strategic decision-making processes.
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