Publication | Closed Access
The Implication of Data Lake in Enterprises: A Deeper Analytics
16
Citations
11
References
2022
Year
EngineeringBusiness IntelligenceData WarehouseData-driven InnovationBusiness Intelligence ProcessBusiness AnalyticsData EcosystemBig Data InfrastructureBig Data ModelEnormous AmountsData ScienceManagementBig Data ArchitectureData IntegrationData Lake TerminologyBig DataData ManagementInformation ManagementData EngineeringBusinessData ModelingData Lake
Everyday enormous amounts of information are produced from computerized advancements and handling these gigantic complex data requires a decent knowledge on the most proficient method to deal with this data. With a purpose to make the most from this multiform data for determined benefits, the data lake emerge as idea for enhanced adaptability and strong data analytics. Data Lake terminology signify a storage space for storing heterogeneous data, both organized as well as unstructured, bringing about an adaptable association that permits data lake customers incorporate data dynamically which they request. Big Data innovation offer help to enterprises in business intelligence process yet there exists lack of empirical study on utilization of data lake technique in enterprises. This paper gives an exploratory review on data lake implication by portraying its concept, functional architecture, development stages involved and numerous research challenges and direction; which will improve the effective utilization of the data lake approach in enterprises.
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