How to use DuckDB: A fast, self-contained analytics database

Поділитися
Вставка
  • Опубліковано 29 вер 2024
  • Analytics databases, or column-oriented DBs, speed up analytics jobs on big datasets. But most such DBs are big products with a lot of setup and management overhead. DuckDB bucks that trend: it's a single, self-contained executable and library that brings SQL-query-powered analytics DB functionality to most any programming language, workflow, or data trove. This video shows how you can use DuckDB with Python to work with big, multi-megabyte JSON or CSV datasets, and query the data using conventional SQL syntax.
    -----------------------------­---
    SUBSCRIBE: www.youtube.com...
    FACEBOOK: / infoworld
    TWITTER: / infoworld
    WEBSITE: www.infoworld.com/

КОМЕНТАРІ • 4

  • @neeleshkamkolkar1085
    @neeleshkamkolkar1085 2 місяці тому

    Thank you for the quick intro video. I am wondering if DuckDb supports a lot of the advanced Tableau Calculations as part of query. Any production large scale deployments of this?

    • @InfoWorld
      @InfoWorld  Місяць тому

      If you're interested in making DuckDB work with Tableau, there's a whole section in its documentation devoted to it: duckdb.org/docs/guides/data_viewers/tableau
      -Serdar

  • @pythonlibrarian224
    @pythonlibrarian224 5 місяців тому +1

    I needed this about a decade ago when someone asked me to read in & do stuff with a multigb csv file. I tried powershell's CSV tool and it never came back. They wanted an answer by 5, so I never did find a solution.

  • @leonardommarques
    @leonardommarques 5 місяців тому +1

    This is cool