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Snowflake Python API: In addition to the updated CLI, the Snowflake Python API will soon be GA-released and provide teams with another option for managing Snowflake resources and datapipelines via Python. tables.create(my_table) print("Database, schema, and table created successfully.") schemas["my_schema"].tables.create(my_table)
Access Controls and User Authentication Access control regulates who can interact with various database objects, such as tables, views, and functions. In Snowflake, securable objects (representing database resources) are controlled through roles. It logs user activities, query details, database tweaks, and more.
Global policies such as data dictionaries ( business glossaries ), dataclassification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup.
This oftentimes leads to shadow IT processes and duplicated datapipelines. Data is siloed, and there is no singular source of truth but fragmented data spread across the organization. Establishing a data culture changes this paradigm. The business will find other means to answer their questions.
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