7/1/2023 0 Comments Transform science definition![]() Parsing fields out of comma-delimited log data for loading to a relational database is an example of this type of data transformation. Initial transformations are focused on shaping the format and structure of data to ensure its compatibility with both the destination system and the data already there. In the modern ELT process, data ingestion begins with extracting information from a data source, followed by copying the data to its destination. Each layer of processing should be designed to perform a specific set of tasks that meet a known business or technical requirement.ĭata transformation serves many functions within the data analytics stack. Data analysts and data scientists can implement further transformations additively as necessary as individual layers of processing. These operations shape data to increase compatibility with analytics systems. The first phase of data transformations should include things like data type conversion and flattening of hierarchical data. A business might change information to a specific format for one application only to then revert the information back to its prior format for a different application.ĭata transformation can increase the efficiency of analytic and business processes and enable better data-driven decision-making.
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