CLICK TO WATCH : ‘ INFOSYS DATA AND ANALYTICS ’ 55 or folders , a data lake uses a flat architecture to store data , the purpose of which is not yet defined . You can store your data as is without having to first structure the data and run different types of analytics — from dashboards and visualisations to Big Data processing , real time analytics and machine learning to guide better decisions . Gartner refers to Data Lakes in broad terms as “ enterprise-wide data management platforms for analysing disparate sources of data in its native format ”. The data we capture is missing the context and framework to drive insights .
Data pond is a term I crafted many years ago during my undergraduate studies at St John ’ s University in New York City . A well-realised data pond can provide critical insights and vital clarity that is almost impossible to find with larger volumes of data . You can have data without information , but you cannot have information without data . That being said , there is zero value in information if it doesn ’ t drive actionable insights . Why do we think bigger is better and more is better than less ? I think less is better , more is waste and bigger is not better . Bigger is just
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