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.

Source Distribution

pylytics-0.2.1.tar.gz (9.5 kB view details)

Uploaded Source

File details

Details for the file pylytics-0.2.1.tar.gz.

File metadata

  • Download URL: pylytics-0.2.1.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pylytics-0.2.1.tar.gz
Algorithm Hash digest
SHA256 2babe575bc69ec794e4741cd5c2f6c29c5a57addda8897fd26b92f02b7d05263
MD5 81693e043298079cba24a152efe74609
BLAKE2b-256 f68582810fa86cb3d9e4554974aed636ceabe751086fb5f00bf0b65cef0a2368

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page