Python Connector for Google BigQuery

The complexity of digital data these days can induce a series of challenges when it comes to handling and managing it. This has led to the emergence of concepts such as that of big data, which emphasizes the diversity of structured, unstructured, and semi-structured digital data.

Addressing the handling and management of such datasets, Google BigQuery offers serverless, cost-effective, and multi-cloud data storage, which can make things structured for big data.

When wanting to connect such a solution to development working environments, such as Python, or Python-based applications, users can rely on specialized connectors, just as Python Connector for Google BigQuery.

This library was designed specifically in order to offer users the means to achieve connectivity between their Python-based applications and Google BigQuery. The library comes equipped with support for the Python DB API 2.0 specification and is being distributed as both 32 and 64-bit packages.

This connector will allow users to rely on full support for the BigQuery dialects, data types, as well as queries. This also pertains to functions, operators, and conditionals. Some of the supported functions are aggregations, JSON functions, arrays, navigation, datetime functions, Net functions, geography functions, and hash functions.