Python Connector for Dynamics 365（英語版）

PythonアプリケーションからDynamics 365 Customer Engagementにアクセスして、格納されているデータに対して作成、読み取り、更新、削除操作を実行

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Python Connector for Dynamics 365（英語版） のスクリーンショット

Python Connector for Dynamics 365 について

PythonアプリケーションからDynamics 365 Customer Engagementにアクセスして、格納されているデータに対して作成、読み取り、更新、削除操作を実行

Python Connector for Dynamics 365 is a reliable connectivity solution for accessing Dynamics 365 Customer Engagement (formerly Dynamics CRM) from Python applications to perform create, read, update, and delete operations on stored data. The solution fully implements the Python DB API 2.0 specification and is distributed as a wheel package for Windows, macOS, and Linux.

Python Connector for Dynamics 365 Features

  • Standard SQL Syntax - The connector fully supports the ANSI SQL standard and lets you execute SQL statements against your Dynamics 365 data just like you would normally work with relational databases. Simple queries are directly converted to Dynamics 365 API calls and executed on the Dynamics 365 side. Complex queries are transformed into simpler queries, which are then converted to Dynamics 365 API calls. The embedded SQL engine then processes the results in the local cache and applies advanced SQL features from the original complex query.
  • High Performance - The connector supports connection pooling and local caching of data to increase the access speed. It also lets you submit multiple update statements to Dynamics 365 for processing as a batch to improve execution time.
  • Platform Support - The Python connector is available for Windows 32-bit and 64-bit, macOS 64-bit, and Linux 64-bit.
  • Unicode-Compliant Connector - The Unicode-compliant connector lets you retrieve and update multilingual data, regardless of its character encoding (Chinese, Cyrillic, Hebrew, and more) in any language environment.
  • Data Types Support - The connector supports all Dynamics 365 data types and Python data types. It offers additional options to control data type mapping between the Dynamics 365 data types and Python data types.