connectron

Name	connectron JSON
Version	0.1.2 JSON
	download
home_page	None
Summary	Unified ETL Connector for All Sources and Sink
upload_time	2025-10-28 18:27:48
maintainer	None
docs_url	None
author	None
requires_python	>=3.9
license	MIT
keywords	etl api data connector integration
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ![CONNECTRON](image.png)

Connectron is Unified ETL connector for all sources and sink.

It is used to avoid regular boilerplate code.

Currently Supported:

        Sources: Microsoft Dataverse

        Sink: ADLS Gen2


Working:
        Works on 3 Objects Principle:

        1.Authenticator Object.
            * Create an Authenticator Object to Connect to Source or Sink.

        2.Source Object:
            * Connect to Source with Authentication object and Query Source.
            * You can Query Sources with different endpoints (API),Tables(Database),Files(Object Storage) with different parameters (Interval,Last x days,Filters,Select columns).
            * By Default it will provide converted object to Pandas Dataframe with Serilization(You can pass parameters as raw to get raw data fetched from Source)
            * You can use sample function available for Source to see Schema,Data without before downloading full Data.(You will get 100 records as Default).

        3.Sink Object:
            * Create Sink object to place objects at Sink.

Future Scope:

        Log Object: For Auditing connectron will store logs of all processes within connectron with:
                1. csv/json/parquet Files.
                2. Delta support in any cloud (Azure,AWS,GCP).

            

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