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.
Metadata is used to store big data in data warehouses for easy retrieval and management. A data warehouse uses structured data in data sources that are standardized, cleaned, and consistent. Metadata provides uniformity in the collection and storage of this data, so business owners and data analysts can easily access and derive insights from the data.
Effective management of meta data is a necessary part of robust and flexible big data “ecosystems,” that is, it helps companies manage their data assets efficiently and makes that data available to data scientists and other analysts.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
Neurological enhancement is the general name for advanced technologies used to improve the cognitive, emotional, and motor functions of the human brain. These technologies include systems that can read, analyze brain activity and, in some cases, provide feedback to the brain.
Data security refers to the process of protecting corporate data and preventing data loss through unauthorized access.
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