Azure Data Lake: Bridging The Gap Between Structured and Unstructured Data

Author(s)	Ramesh Betha
Country	United States
Abstract	The exponential growth of data in modern enterprises demands solutions capable of handling diverse formats, ranging from unstructured data such as images and social media content to structured data like relational databases. Azure Data Lake has emerged as a robust platform to bridge the gap between unstructured and structured data. This article explores the architecture, features, and benefits of Azure Data Lake, illustrating how it enables seamless data integration and analytics in enterprises. Furthermore, it provides insights into real-world use cases and addresses common challenges faced during adoption
Keywords	Azure Data Lake, unstructured data, structured data, big data, data integration, data analytics, data governance
Field	Engineering
Published In	Volume 1, Issue 1, July-August 2019
Published On	2019-07-05
DOI	https://doi.org/10.36948/ijfmr.2019.v01i01.37224
Short DOI	https://doi.org/g847zq

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International Journal For Multidisciplinary Research