joseph-leingang-temporal-data-structures-with-sqlalchemy-and-postgres-pycon-2017.json

{
  "description": "SQLAlchemy (`http://www.sqlalchemy.org <http://www.sqlalchemy.org/>`__)\nand Postgres\n(`https://www.postgresql.org <https://www.postgresql.org/>`__) provide\nseveral useful tools that allow us to build and query records through\ntime: *temporal models*. Combining a need to have robust auditing, as\nwell feature development on per-property history, we can turn\n\u201cregulatory overhead\u201d into an exciting technical challenge. At Clover\nHealth we have built a small library to automate the task of decorating\na model and making it \u201ctemporal.\u201d This talk aims to demonstrate the\nunderlying data model and interface for building this system.\n",
  "duration": 1860,
  "language": "eng",
  "recorded": "2017-05-20",
  "speakers": [
    "Joseph Leingang"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/2Za9kca3Tu0/hqdefault.jpg",
  "title": "Temporal Data Structures with SQLAlchemy and Postgres",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=2Za9kca3Tu0"
    }
  ]
}