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Building a multi-purpose platform for bulk data using sqlalchemy


Christian Trebing - Building a multi-purpose platform for bulk data using sqlalchemy [EuroPython 2015] [23 July 2015] [Bilbao, Euskadi, Spain]

At Blue Yonder, we've built a platform that can accept and process bulk amounts of data for multiple business domains (e.g. handling retail store location and sales data) using SQLAlchemy as a database abstraction layer.

We wanted to use as much of SQLAlchemy as possible, but we quickly found that the ORM (Object Relational Mapper) is not suitable for handling large amounts of data at once. At the same time, we did not want each team of developers working on individual business domains to have to handcraft their own SQL statements. To solve this problem, we built an application configuration that closely resembles an SQLAlchemy model, but also contains application-specific logic settings.

In this talk I will demonstrate:

  • An application architecture for multiple business domains
  • The structure of the domain configuration utilized in the generation of the SQLAlchemy model, SQLAlchemy core statements, and other application functionality
  • How the domain configuration is used throughout the application (consuming and parsing incoming data, storing it in a database and ensuring data quality)


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