Skip to main content

TMG data library

Project description

TMG data library has the functionalities to interact with Google Cloud services allowing to develop more reliable and standard data pipelines.

Quick Start

Installation

Install this library in a virtualenv using pip.

Supported Python Versions

Python >= 3.5

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install tmg-data

Example Usage

Transform from MySQL to BigQuery

from tmg.data import transfer

transfer_client = transfer.Client(project='your-project-id')

transfer_client.bq_to_mysql(
    connection_string='root:password@host:port/your-database',
    bq_table='your-project-id.your-dataset.your-table',
    mysql_table='your-database.your-table'
)

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

tmg_data-0.3.6-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file tmg_data-0.3.6-py3-none-any.whl.

File metadata

  • Download URL: tmg_data-0.3.6-py3-none-any.whl
  • Upload date:
  • Size: 43.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.7

File hashes

Hashes for tmg_data-0.3.6-py3-none-any.whl
Algorithm Hash digest
SHA256 24ce8f71e4c6c37a09159c61438c332ac3968025516b33e3cf2e875037599eed
MD5 69a028dc6fd4300d42c63e9f31d15a73
BLAKE2b-256 2f4bd769d98887916e9dbcc0997433934567033a04f4b3e00731abfd08e8da36

See more details on using hashes here.

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