Scalable Data Lake Architectures for Multi-Industry Enterprise Analytics
Keywords:
data lake architecture, scalability, multi-tenancy, Delta LakeAbstract
Scalable data lake architectures are very critical for enterprises managing huge and diversified data sets across multiple industries but challenges keep going on like governance, security, and scalability. The objective of this research paper is to examine advanced methodologies for constructing robust, multi-tenant data lakes, focusing on Delta Lake, Apache Iceberg, and Google BigQuery as foundational technologies. By utilizing transactional consistency, schema evolution, and ACID compliance, these architectures increase data reliability and performance.
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