Data mining is ultimately the process of analyzing hidden data patterns according to different perspectives for grouping useful information, collected and consolidated in common areas such as data warehouses, data mining algorithms, facilitating business decision-making, and other information requirements, in order to reduce costs and increase profits. Data mining is also known as data discovery or information discovery.
Dirty data refers to data that is wrong for a company. This inaccuracy not only means that the data is not correct, the correct data can also be “dirty”.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
A Business Continuity Plan (BCP) is a detailed document that shows how a business will continue to operate in the event of an unplanned interruption in service.
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