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Data Annotation

Data Annotation and Data Labelling works together to prepare dataset for Machine Learning Models in Data Science practice. ‘Data Annotation is the technique…

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Data Entropy

Entropy term is normally used in Data Science domain. Where finding unexpected outcomes is the aim Where surprises are welcomed Where results are analyzed ba…

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Data Epistemology

Epistemology, a term rooted in the Greek word episteme, meaning “knowledge,” and logos, meaning “discourse” or “communication,” explores the concept of “just…

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Data Hierarchy

Data Hierarchy is a known term and most of us are aware of it but sometimes, it’s confused with Data Taxonomy & Data Ontology. Data Taxonomy and Data Ontolog…

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Data Anonymization/Data Pseudonymization/Data De-Identification

Data Anonymization, Data Pseudonymization or Data De-identification all worked the same way and related to Data Privacy. Data Anonymization is about removing…

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Data Identification

Data Identification is the pre-requisite for Data Anonymization. How? Data Identification is opposite to Data Anonymization, in other words, first one must i…

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Data Generalization/Blurring and Specialization

Data Generalization/ Blurring is normally confused with Data Anonymization which is about removing or modifying personal information so the identity of a per…

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Data Perturbation/ Data Swapping/Data Shuffling/Data Scrambling/Data Obfuscation

Data Perturbation/ Swapping/ Shuffling/ Data Scrambling/ Data Obfuscation all use the same technique to hide the identity of an entity but keeping the essenc…

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Static Data Masking (SDM)

Static Data Masking (SDM) is also known as Data Masking and is one of the most underrated terms in Data but at the same time it's one of the most wanted term…

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Dynamic Data Masking (DDM)

Dynamic Data Masking (DDM) behaves just like SDM (Static Data Masking) or in other words like standard Data Masking. We all know how Data Masking works so we…