Python Connector for BigQuery

Python 애플리케이션에서 Google BigQuery 데이터 웨어하우스에 액세스하여 저장된 데이터에 대해 생성, 읽기, 업데이트 및 삭제 작업을 수행할 수 있습니다.

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가격: ￦ 134,900 버젼: 1.0.1 업데이스 날짜: Dec 1, 2023

Python Connector for BigQuery 스크린샷

Python Connector for BigQuery 관련 정보

Python 애플리케이션에서 Google BigQuery 데이터 웨어하우스에 액세스하여 저장된 데이터에 대해 생성, 읽기, 업데이트 및 삭제 작업을 수행할 수 있습니다.

Python Connector for Google BigQuery is a reliable connectivity solution for accessing the Google BigQuery data warehouse 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 32-bit and 64-bit.

Python Connector for BigQuery Features

  • GoogleSQL for BigQuery - The connector fully supports the BigQuery SQL dialects, data types, and query syntax, including functions, operators, and conditionals. These are examples of supported BigQuery functions:
    • Aggregate functions.
    • Array functions.
    • Datetime functions.
    • Geography functions.
    • JSON functions.
    • Navigation functions.
    • Net functions.
    • Hash functions.
  • 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 the data warehouse for processing as a batch to improve execution time.
  • Platform Support - The Python connector is available for Windows and Windows Server (32-bit and 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 BigQuery data types and Python data types. It offers additional options to control data type mapping between the BigQuery data types and Python data types.