Ejemplo para consumir servicio web mediante SSIS.

The Food-Facility-Compliance-Engine leverages advanced ETL and BI technologies to process and visualize inspection data from Sonoma County's official government database, boosting compliance and safety in local food facilities.

Data Warehouse Project: A structured Data Warehouse using Bronze, Silver, and Gold layers for efficient data ingestion, transformation, and analytics with SQL Server.

Building a modern data warehouse with SQL Server, Including ETL processes, data modeling and analytics.

Continuação do repósitorio Data_WareHouse_ETL_1

Developed an ETL process in SQL using stored procedures, integrating CRM and ERP data into a star schema through Bronze, Silver, and Gold layers to enable reliable business analytics.

Modern data warehouse with SQL Server. Includes initialization, ETL processes, data modeling and later analysis.

SQL-based data warehouse project for retail analytics using dimensional modeling, ETL, and reporting procedures.

Building a modern data warehouse with MS SQL server, ETL processes, data modeling and analyitics.

Building a modern data warehouse with SQL Server,including ETL processes,data modeling , data analytics and dashboarding

End-to-end SQL Data Warehouse using a multi-layered architecture (Bronze, Silver, Gold) with automated ETL and star schema design for scalable analytics.

This is a hands-on project that shows how to build a data warehouse using SQL and free tools. Starting from raw CRM and ERP data, it guides you through cleaning, transforming, and modeling it for analysis.

End-to-end data warehouse project using the medallion architecture (Bronze, Silver, Gold). Raw CSVs are ingested into Bronze, cleansed and standardized in Silver, and transformed into analytics-ready dimension and fact tables in Gold. Includes data quality checks and surrogate key generation.

Comprehensive data warehousing and analytics project, from building a data warehouse to generating actionable insights

🧠 Structured SQL Learning Repository | Beginner to Advanced Topics + Real Projects 🎯 Covers core SQL skills, window functions, performance tuning, and hands-on data warehousing/EDA projects

Constructing a contemporary data warehouse that spans multiple databases, with complete ETL pipelines, structured data models, and robust analytics tools.

A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.

Building a modern data warehouse using PostgreSQL, covering the full data pipeline from raw data ingestion to analytics. This includes designing robust data models, implementing ETL processes, and organizing data into bronze, silver, and gold layers to support efficient analysis and reporting.