Data Processing - Operations / Operator / Filter

A data processing function takes an input and creates an output in a pipeline.

It may involve various function such as, including:

• Validation with data type conversion – Ensuring that supplied data is “clean, correct and useful”. See also: Data Quality
• Sorting – “arranging items in some sequence and/or in different sets.”
• Summarization – reducing detail data to its main points.
• Aggregation – combining multiple pieces of data.
• Analysis – the “collection, organization, analysis, interpretation and presentation of data.”.
• Reporting / visualization – list detail or summary data or computed information.
• Classification – separates data into various categories.
• Filtering - delete data via predicate
• selection - select the data field