Skip to main content

ETL for Python

Project description

ETL using python

Python package for extracting data from a source, transforming it and loading it to a destination, with validation in between.

The provided ETL pipeline provides useful functionality on top of the usual operations:

  • Extract: Extract data from multiples sources, in parallel (using threads).
  • Validate: Validate the extracted data, to make sure it matches what will be required by the transform step, using pandera schemas. This provide early fail if there is any unexpected change in the sources.
  • Transform: Define the logic for transformation of the data, making it reusable, and allowing multiple data frames as input and multiple data frames as output.
  • Validate again: Validate the transformed data, to make sure it matches your expectation, and what the destination will require.
  • Load: Load multiple data, each to one or more destination, and load diferent data to diferent destinations in parallel (using threads).

Installation

The package is available at PyPI, so you can install it using pip:

pip install extralo

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

extralo-0.12.2.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

extralo-0.12.2-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file extralo-0.12.2.tar.gz.

File metadata

  • Download URL: extralo-0.12.2.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for extralo-0.12.2.tar.gz
Algorithm Hash digest
SHA256 86eb13f2560c353371e8b36d17533f04e305a6603d4fbba8afadde02b274f44c
MD5 6499be50f8dbfed056f636a71ef8d0ec
BLAKE2b-256 7a6a84249a5590b9ccfc047a8297bd352b33cc74c3094e10ca56e2a13d86e90e

See more details on using hashes here.

File details

Details for the file extralo-0.12.2-py3-none-any.whl.

File metadata

  • Download URL: extralo-0.12.2-py3-none-any.whl
  • Upload date:
  • Size: 13.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for extralo-0.12.2-py3-none-any.whl
Algorithm Hash digest
SHA256 673a95c5744edc6cddd834be5b43e25fc1ea0be8ea9740cfc3a496df07e9d353
MD5 908ee52cc8a41354671423f4f2d187d1
BLAKE2b-256 af7a0215273ab05c4f3a6a3ee9983e0ba4dcc23ddc39cf7e17cd53d11ac87f8b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page