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101

Data Governance (DG)

Almost every organization claims to recognize the importance of Data Governance, yet research and lived experience show that the majority still lack a functi…

102

Data Quality (DQ)

‘Data Quality is when we compare data against Business Rules.’ Organizations aspire to be data-driven, but the reality is that without quality, data becomes…

103

Data Deduplication

Data Deduplication is mostly involved in ETL or ELT process. ‘Data Deduplication is about removing duplication in the data.’ There are two kinds of data whic…

104

Data Observability

Data Observability is one of the most underrated terms, as its name says, it's about observing and providing analysis and analytics for decision making. ‘Dat…

105

Data Lineage

We have been referring to three terms i.e., Master Data Management, Metadata Management and Data Lineage, in previous topics. Master Data and Metadata Manage…

106

Data Provenance

Data Provenance and Data Lineage. Logically both do the same thing but at different levels of granularity. Data Lineage is about knowing the Data Lifecycle b…

107

Data Classification,Categorization and Data Clustering

These two terms are used in Machine Learning for Data Mining and Data Science models. As we all know, within Machine Learning, there are Supervised and Unsup…

108

Data Categorization vsClassification

This is a very confusing topic as both Categorization and Classification are used interchangeably. Both Categorization and Classification are Metadata and ar…

109

Data Segmentation

‘Data Segmentation is about dividing dataset into multiple sections based on some requirements.’ Segments are defined based on many parameters e.g., in a bus…

110

Data Labelling

Data Labelling is about tagging something which is not identifiable coming from source. The Labelling can be on known data and on unknown data as well. Let’s…