Raw data, in a technical sense, is defined as “any data object that hasn't undergone thorough data processing” (Techopedia 2019). The issue with this definition, however, is that it implies that since ...

The data processing cycle, also known as the data lifecycle, refers to the steps involved in transforming raw data into readable and usable information. It typically begins with data collection from ...

It’s the part of the process most leaders already know they need, but it’s only useful when paired with the other two. The data extracted by your ETL tool is raw. Most programs don’t ...

Feature engineering. Data engineers sometimes help in feature engineering, a process of transforming raw data into new features that increase the model's accuracy. They work closely with data ...

But we all know raw, unstructured data has its challenges. Because it was never intended to be used beyond process control, the data is not correlated for use by enterprise systems in the cloud. It ...

Data mining is the process of searching and analyzing a large batch of raw data in order to identify patterns and extract useful information. Companies use data mining software to learn more about ...

process data, and report findings. Data analytics has always had loose ties to spreadsheets and Microsoft Excel. Data analysts also often interact with raw programming languages to transform and ...

Raw data are the binary files generated by the mass spectrometer that are then processed by the researcher to yield results such as peak, peptide and protein lists. Metadata are information about ...

with choices ranging from full raw data to highly processed identifications and quantifications. In addition, no repository could store both raw data and processed results. Similar issues arose ...