| Title |
Azure Data Lake: Connecting Structured and Unstructured Data |
| Abstract |
The rapid growth of data in modern businesses requires solutions that can manage various formats, from unstructured data like images and social media content to structured data such as relational databases. Azure Data Lake has become a powerful platform that bridges the gap between unstructured and structured data. This article examines the architecture, features, and advantages of Azure Data Lake, demonstrating how it facilitates seamless data integration and analytics within enterprises. Additionally, it provides real-world use cases and highlights the common challenges encountered during adoption. |
| Keywords |
Azure Data Lake, structured data, unstructured data, data integration, data analytics, enterprise solutions, architecture, features, benefits |
| Research Area |
Engineering |
| Research Paper |
|
| Author(s) |
Kishan Boghra |
| Country |
India |
