This project encompasses the complete data lifecycle, from data extraction and transformation to in-depth analysis and compelling visualizations. The process is divided into three main phases
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Updated
Oct 27, 2023 - TSQL
This project encompasses the complete data lifecycle, from data extraction and transformation to in-depth analysis and compelling visualizations. The process is divided into three main phases
💵Understanding the customer base of the DVD Rental database using SQL💰
Create and deploy an efficient data warehouse using Microsoft SQL Server tools, optimizing loading processes with SSIS for ETL workflows. Extend functionality with SSAS, SSRS, and pivot tables for in-depth analysis, enhancing insights through Power BI visualization.
SQL Pivot Table, Dynamic Variable, Store Procedures, Triggers
TSQL training results and materials.
Develop and Deploy a Datawarehouse solution. Employed MS SQL Server Management Studio to build a data warehouse and increased data loading efficiency and Implemented MS SQL Integration Services (SSIS) to devise and execute ETL processes. BI II project, Building from the Data Warehouse a SSAS, SSRS, Analysis in pivot tables and Data Visualization
SQL Server PIVOT operation which rotates a table-valued expression. It turns the unique values in one column into multiple columns in the output and performs aggregations by SUM(), COUNT(), AVG(), MIN(), MAX() on any remaining column values.
A complete Bike stores data analysis project using SQL and Microsoft Excel.
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