KramseSSAS developed by QRRV and HGKarremans

Overview

KramseSSAS is a project dedicated to analyzing, transforming, processing, and saving shipping data using SQL Server Analysis Services (SSAS). This repository leverages SSAS cubes to deliver high-performance data processing and analytics capabilities tailored for complex shipping datasets.

Framework and Technologies

The project is built using:

• SQL Server Analysis Services (SSAS) for building and managing multidimensional and tabular data models.
• SSAS Cubes to enable fast data retrieval and storage, facilitating efficient querying and multidimensional analysis of large shipping data sets.

Cloning

1. Git clone:

   git clone https://github.com/QRRV/KramseSSAS.git

2. Navigate to the project directory:

   cd KramseSSAS

Features

• Multidimensional and Tabular Models: Supports both multidimensional (OLAP) and tabular models for flexibility in data analysis.
• Efficient Data Storage: SSAS cubes allow high-performance querying on large datasets, optimizing shipping data processing.
• Advanced Shipping Data Analytics: Perform analytics on data dimensions such as shipping routes, costs, and time metrics, enabling deeper insights into logistical efficiency.

License

This project is licensed under MIT License.