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2. Data transformation (computing) - Wikipedia

   en.wikipedia.org/wiki/Data_transformation...

   Traditionally, data transformation has been a bulk or batch process, [6] whereby developers write code or implement transformation rules in a data integration tool, and then execute that code or those rules on large volumes of data. [7] This process can follow the linear set of steps as described in the data transformation process above.

3. Data conversion - Wikipedia

   en.wikipedia.org/wiki/Data_conversion

   Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks.

4. Anchor modeling - Wikipedia

   en.wikipedia.org/wiki/Anchor_Modeling

   In 2007 the technique was being used in a few data warehouses and one online transaction processing (OLTP) system, and it was presented internationally by Lars Rönnbäck at the 2007 Transforming Data with Intelligence (TDWI) conference in Amsterdam. [4] This stirred enough interest for the technique to warrant a more formal description.

5. Extract, transform, load - Wikipedia

   en.wikipedia.org/wiki/Extract,_transform,_load

   The range of data values or data quality in an operational system may exceed the expectations of designers at the time validation and transformation rules are specified. Data profiling of a source during data analysis can identify the data conditions that must be managed by transform rules specifications, leading to an amendment of validation ...

6. Data wrangling - Wikipedia

   en.wikipedia.org/wiki/Data_wrangling

   Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.

7. Data build tool - Wikipedia

   en.wikipedia.org/wiki/Data_build_tool

   Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...