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.
Zomato Data Exploration and Analysis with SQL (SQL SERVER)
Data Analyst Portfolio Project 1 - SQL and PowerBI - Cleaning and analysing the AdventureWorks dataset with SQL, then visualizing it with PowerBI
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
Building a modern data warehouse including, ETL process, data modeling and analytics
Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics
Built a scalable data warehouse architecture in SQL Server, featuring well-structured star schemas and automated ETL workflows. The project supports accurate, fast, and insightful reporting through optimized analytical queries, enabling data-driven decision-making.
Building a modern warehouse with SQL Server , including ETL processes , data modeling and analytics.
This is a query showing different SQL skills ranging from Data Exploration to Data Cleaning and Using the Query to develop Tableau Presentation.
Building a Data Warehouse Project with SQL Server , Including ETL , Data Modeling and data analytics
Building a Modern data Warehouse with SQL Server , Including ETL Process, Data modeling and Analytics
Building a modern Data Warehouse with SQL Server, including ETL processes, data modeling and analytics.
Constructing a contemporary data warehouse that spans multiple databases, with complete ETL pipelines, structured data models, and robust analytics tools.
Building a modern data warehouse with SQL Server, including ETL process, data modelling, and analytics.
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
This module enables you summarize and identify the quality of the data using concepts such as aggregation and window functions.
A simple entry level data warehousing project using MS SQL Server.
This module covers how to assemble multiple tables into a dataset using SQL queries. It also introduces how to transform and clean data using SQL functions.
Building a modern data warehouse with SQL Server, Including ETL processes, data modeling and analytics.
This HR Employee Distribution Report was cleaned first on Microsoft SQL Server before visualizing it on Microsoft Power BI
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