OlaPy - OLAP Engine

OlaPy is an OLAP engine based on Python, which gives you a set of tools for the development of reporting and analytical applications, multidimensional analysis, and browsing of aggregated data with MDX and XMLA support. It can be found in GitHub. or PyPI.

• It is fast and uses in-memory technology and various techniques (aggregation and real-time computation) to provide sub-second responses.
• It includes an ETL layer (Extract Transform Load) for better data handling.
• It support most common databases (Postgres, MySql, Oracle, SQL Server) and CSV file format (only CSV right now) to construct cubes.

Contents:

• Installation
  • Install from PyPI
  • Install from Github
  • Initialization
  • Olapy-data
• Quick Start
  • OlaPy as XMLA server
  • Olapy as a library
• Advanced Olapy options
• Cubes creation
  • OLAPY CUBES RULES
  • Examples:
• Cube customization
• Running olapy with Database
  • Environnement variable
  • Database string connection
  • Olapy config file
• OlaPy ETL
• API Documentation
  • Package olapy.core.services.xmla
  • Package olapy.core.mdx.executor
  • Package olapy.etl.etl

Indices and tables

• Index
• Module Index
• Search Page