"Implementing Lakehouse using Azure Databricks and Delta Lake" By Mehul Bhuva

This presentation is based on the article "Implementing Enterprise-Wide Lakehouse using Microsoft Azure Databricks and Delta Lake" by Mehul K. Bhuva, published in the International Journal of Computer Trends and Technology (IJCTT, Volume 73, Issue 4, April 2025):

The article presents a scalable and practical approach to building an enterprise-wide Lakehouse architecture using Azure Databricks and Delta Lake. It addresses the growing need for a unified data platform that merges the reliability of data warehouses with the scalability of data lakes. The Lakehouse model supports both analytical and operational workloads, offering improved data governance, reduced duplication, and faster insights.

The paper outlines architectural components, implementation strategies, and real-world considerations, emphasizing its role in digital transformation and advanced analytics.

Contact: Sam Nasr (snasr@nistechnologies.com)

Cost: Free (open to the public)