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https://fugue-tutorials.readthedocs.io/tutorials/integrations/backends/duckdb.html

Fugue with DuckDB — Fugue Tutorials

is an in-process SQL OLAP database management system. The speed is very good on even gigabytes of data on local machines. Fugue has a deep integration with DuckDB. Fugue not only uses DuckDB as the SQL engine, but also implemented all execution engine met

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/backends/polars.html

Fugue with Polars — Fugue Tutorials

Polars is a Rust-based DataFrame library that supports multi-threaded and out-of-core operations. The performance of Polars is already very good on a local machine, so the focus of the Fugue-Polars integration is scaling out to a cluster. Fugue also has t

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https://fugue-tutorials.readthedocs.io/index.html

Welcome to the Fugue Tutorials! — Fugue Tutorials

Have questions? Chat with us on Github or Slack: provides an easier interface to using distributed compute effectively and accelerates big data projects. It does this by minimizing the amount of code you need to write, in addition to taking care of tricks

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/ecosystem/prefect.html

Prefect — Fugue Tutorials

is an open-source workflow orchestration framework designed for the modern data stack. The prefect-fugue collection allows users to prototype their code locally, and then execute it on a distributed computing cluster (Spark, Dask, Ray) when production rea

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https://fugue-tutorials.readthedocs.io/tutorials/quick_look/ten_minutes_sql.html

FugueSQL in 10 Minutes — Fugue Tutorials

This is a short introduction of FugueSQL geared for new users. FugueSQL is the SQL interface for The Fugue project aims to make big data effortless by accelerating iteration speed and providing a simpler interface for users to utilize distributed computin

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/warehouses/trino.html

Fugue with Trino — Fugue Tutorials

This page is divided into three parts: setup, SQL usage, and Python usage of the BigQuery integration.

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/warehouses/bigquery.html

Fugue with BigQuery — Fugue Tutorials

The most common way is to use the Make sure the GOOGLE_APPLICATION_CREDENTIALS is set to a credential file. You can also read the of BigQuery. If you are using a distributed cluster with Spark, Dask, or Ray, all of the machines in the cluster need to be a

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/ecosystem/datacompy.html

DataComPy — Fugue Tutorials

is an open-source package by Capital One that started as a way to compare two Pandas DataFrames with some more functionality than just Pandas.DataFrame.equals(Pandas.DataFrame It allows users to specify tolerances and prints out statistics.

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https://fugue-tutorials.readthedocs.io/tutorials/integrations/backends/ibis.html

Fugue with Ibis — Fugue Tutorials

The tries to bridge the gap between local Python and including distributed systems such as Spark and Dask. The main idea is to create a pythonic interface to express SQL semantics, so the expression is agnostic to the backends.

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