A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
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Updated
Apr 23, 2025 - TSQL
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
Building Json data pipeline within Snowflake using Streams and Tasks
Practical examples supporting Data Engine Thinking.
This project implements a complete Modern Data Warehouse using SQL-based ETL pipelines and Medallion Architecture (Bronze/Silver/Gold). It includes raw data ingestion, transformation layers, dimensional modeling, data marts, and analytical reporting structures suitable for business intelligence and data engineering workflows.
SSIS (SQL Server Integration Services) project for building a data warehouse solution
Automated data extraction using APIs, AWS functions to build ETL pipelines, and data modeling in SSIS. Performed data manipulation, profiling, cleansing, integration, and price history tracking.
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
Building a modern data warehouse with SQL Server, including ETL processes, data modeling and analytics.
Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics
Building Mordern datawarehouse with SQL Server, including ETL Processes, data modeling, and data analytics.
A comprehensive SQL Data Warehouse project demonstrating dimensional modeling, ETL processes, and analytics for structured data management.
Build modern data warehouse with mysql, Including ETL processes, data modeling and analytics
Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
The repo simulates query load, optimizes performance, and offers practical guidance for building data warehouses with Azure Synapse Analytics. 🚀
Building a modern data warehouse with SQL Server, Including ETL processes, data modeling, and Analytics
This project is a complete SQL-based Data Warehouse built from official UN Tourism statistics (UNWTO), covering global tourism trends from 1995 to 2022.
Building a modern data warehouse with AQL Server, including ETL processes, data modeling and analytics.
End-to-end SQL data warehousing project using Bronze-Silver-Gold architecture with ETL pipelines, dimensional modeling, and real-world CRM & ERP datasets in Microsoft SQL Server.
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