Skip to main content

Build and manage a star schema.

Project description

Introduction

This is a set of python libraries that allow you to build and manage a star schema.

The star schema is a simple approach to data warehousing. In contrast to big data tools, the star schema is suited to mid-size data problems.

Its biggest benefit is the strict generation and management of facts.

facts and dimensions

The pylitics project creates a set of facts based on dimensions.

Dimensions are the finite data sets you wish to measure your facts against. Common dimensions include dates, lists of customers and sizes/colours.

Facts are the measurements you take. They are most often calculations or summations. Example facts include gross sales by colour per day, total clicks per customer and customers added per week.

Documentation

The full documentation is available at readthedocs.org

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pylytics, version 0.4.5
Filename, size File type Python version Upload date Hashes
Filename, size pylytics-0.4.5.tar.gz (17.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page