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-2.0.1.tar.gz (96.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

extralo-2.0.1-py3-none-any.whl (12.8 kB view details)

Uploaded Python 3

File details

Details for the file extralo-2.0.1.tar.gz.

File metadata

  • Download URL: extralo-2.0.1.tar.gz
  • Upload date:
  • Size: 96.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for extralo-2.0.1.tar.gz
Algorithm Hash digest
SHA256 49e5c45f822d128af61bb84b2465cbd995f2d7ecf319eb41cd91b083664410c8
MD5 393dfe18c968f24599ce4823c94cd6cb
BLAKE2b-256 0d7c6c3b45eb3fedea1b5376234291f8574ea7faadca201cef1122d66cbd53b9

See more details on using hashes here.

Provenance

The following attestation bundles were made for extralo-2.0.1.tar.gz:

Publisher: ci-cd.yml on vitorcapdeville/extralo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file extralo-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: extralo-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 12.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for extralo-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5db4f7bf88b70d707fea22787e8457c137f37be6cc13d80ca946e21c9adf0445
MD5 c172e12bec36f1a18e89b322f81cede3
BLAKE2b-256 1b7b9cfb20f558a0786194401d5899d60124b1f783e5005121b4c95eae0b9d25

See more details on using hashes here.

Provenance

The following attestation bundles were made for extralo-2.0.1-py3-none-any.whl:

Publisher: ci-cd.yml on vitorcapdeville/extralo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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