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Upcoming Snowflake Features

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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 data pipelines via Python. tables.create(my_table) print("Database, schema, and table created successfully.") schemas["my_schema"].tables.create(my_table)

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An Overview of Security and Compliance Features in Snowflake

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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.

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

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Global policies such as data dictionaries ( business glossaries ), data classification 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.

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Building a Data Culture with Snowflake: A Guide for CIOs

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This oftentimes leads to shadow IT processes and duplicated data pipelines. 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.