End-to-End Data Engineering Lakehouse

This presentation provides a high-level overview of the entire project lifecycle, from initial data ingestion and streaming to the final data mart creation and business applications.

The first stage involves ingesting raw, unstructured data. This layer includes real-time data streaming and the initial storage of data in its original format, setting the foundation for further processing.

Data from the Bronze layer is cleaned, validated, and structured in the Silver layer. This involves data modeling, applying schemas, and ensuring data quality and integrity for downstream use.

The Gold layer contains highly refined and aggregated data ready for analytics. This layer is optimized for business intelligence reporting and serves as the primary source for machine learning models.

The final output of the pipeline feeds directly into business applications. This includes running complex SQL queries for BI dashboards and using the clean data for predictive forecasting models.

Includes supplementary materials such as a detailed example of implementing a data security model within the pipeline's framework.