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Data Processing

Data processing describes the actions required to transform raw data into meaningful information – collecting, structuring, and analyzing the data – as well as interpreting the results to uncover patterns and draw meaningful conclusions. This is typically done using specialized software tools that can perform computational operations on large amounts of data quickly (such as relational databases). The ability to effectively process data while controlling compute overhead is key to most data initiatives, including analytics, machine learning, and cybersecurity.