Ejemplo para consumir servicio web mediante SSIS.

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

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.

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

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

ETL's con diferentes herramientas

Repositório focado no curso de Business Intelligence, SQL Server e Integration Services disponível na plataforma Alura

End-to-end sales data warehouse with comprehensive analytics framework. Features medallion architecture (Bronze-Silver-Gold) and advanced SQL analytics including EDA, performance analysis, and customer segmentation.

This repository contains a Data engineering, data analytics and machine learning knowledge to demonstrate healthcare end-to-end pipeline

Building a modern data warehouse with SQL Server, including ETL Processes, Data Modeling and Analytics

Criação de um modelo de dados de uma Data Warehouse usando ETL com Integration Services.