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src/content/docs/snowflake/features/dynamic-tables.md

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Snowflake Dynamic Tables enable a background process to continuously load new data from sources into the table, supporting both delta and full load operations. A dynamic table automatically updates to reflect query results, removing the need for a separate target table and custom code for data transformation. This table is kept current through regularly scheduled refreshes by an automated process.
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The Snowflake emulator supports Dynamic tables, allowing you to create and manage Dynamic tables locally. The following operations are supported:
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* [`CREATE DYNAMIC TABLE`](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table)
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* [`DROP DYNAMIC TABLE`](https://docs.snowflake.com/en/sql-reference/sql/drop-dynamic-table)
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The Snowflake emulator supports Dynamic tables, allowing you to create and manage Dynamic tables locally.
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## Getting started
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src/content/docs/snowflake/features/hybrid-tables.md

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Snowflake Hybrid tables, also known as Unistore hybrid tables, support fast, single-row operations by enforcing unique constraints for required primary keys and including indexes to speed up data retrieval. These tables are designed to optimize support for both analytical and transactional workloads simultaneously, underpinning Snowflake's Unistore architecture.
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The Snowflake emulator supports Hybrid tables, allowing you to create and manage Hybrid tables locally. The following operations are supported:
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* [`CREATE HYBRID TABLE`](https://docs.snowflake.com/en/sql-reference/sql/create-hybrid-table)
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* [`DROP HYBRID TABLE`](https://docs.snowflake.com/en/sql-reference/sql/drop-hybrid-table)
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* [`SHOW HYBRID TABLES`](https://docs.snowflake.com/en/sql-reference/sql/show-hybrid-tables)
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The Snowflake emulator supports Hybrid tables, allowing you to create and manage Hybrid tables locally.
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## Getting started
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src/content/docs/snowflake/features/materialized-views.md

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Materialized views are a feature of Snowflake that allows you to create a persistent view of a table. This view is pre-computed and stored in the database, allowing for faster queries and improved performance.
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The Snowflake emulator supports Materialized Views, allowing you to accurately test materialized view logic and behavior in local development environments. The following operations are supported:
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- [`CREATE MATERIALIZED VIEW`](https://docs.snowflake.com/en/sql-reference/sql/create-materialized-view)
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- [`ALTER MATERIALIZED VIEW`](https://docs.snowflake.com/en/sql-reference/sql/alter-materialized-view)
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- [`DESCRIBE MATERIALIZED VIEW`](https://docs.snowflake.com/en/sql-reference/sql/desc-materialized-view)
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- [`DROP MATERIALIZED VIEW`](https://docs.snowflake.com/en/sql-reference/sql/drop-materialized-view)
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- [`SHOW MATERIALIZED VIEWS`](https://docs.snowflake.com/en/sql-reference/sql/show-materialized-views)
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- [`TRUNCATE MATERIALIZED VIEW`](https://docs.snowflake.com/en/sql-reference/sql/truncate-materialized-view)
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The Snowflake emulator supports Materialized Views, allowing you to accurately test materialized view logic and behavior in local development environments.
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## Getting started
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src/content/docs/snowflake/features/native-apps.md

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Snowflake Native Apps are applications built and executed directly within the Snowflake Data Cloud platform. These apps can be used to extend the capabilities of Snowflake by integrating with external services, automating workflows, and building custom data applications. These apps are developed using Snowflake-native tools (e.g., Snowflake SQL, Snowflake API, and JavaScript) and can be distributed on the Snowflake Marketplace.
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The Snowflake emulator supports creating & deploying Native Apps locally with the same statements as the Snowflake service. The following operations are supported:
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- [`CREATE APPLICATIONS`](https://docs.snowflake.com/en/sql-reference/sql/create-application.html)
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- [`SHOW APPLICATION PACKAGES`](https://docs.snowflake.com/en/sql-reference/sql/show-application-packages.html)
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- [`ALTER APPLICATION PACKAGE`](https://docs.snowflake.com/en/sql-reference/sql/alter-application-package.html)
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- [`DESCRIBE APPLICATION`]( https://docs.snowflake.com/en/sql-reference/sql/desc-application)
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- [`DROP APPLICATION PACKAGE`](https://docs.snowflake.com/en/sql-reference/sql/drop-application-package.html)
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The Snowflake emulator supports creating & deploying Native Apps locally with the same statements as the Snowflake service.
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## Getting started
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src/content/docs/snowflake/features/snowpipe.md

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Snowpipe allows you to load data into Snowflake tables from files stored in an external stage. Snowpipe continuously loads data from files in a stage into a table as soon as the files are available. Snowpipe uses a queue to manage the data loading process, which allows you to load data into Snowflake tables in near real-time.
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The Snowflake emulator supports Snowpipe, allowing you to create and manage Snowpipe objects in the emulator. You can use Snowpipe to load data into Snowflake tables from files stored in a local directory or a local/remote S3 bucket. The following operations are supported:
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* [`CREATE PIPE`](https://docs.snowflake.com/en/sql-reference/sql/create-pipe)
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* [`DESCRIBE PIPE`](https://docs.snowflake.com/en/sql-reference/sql/describe-pipe)
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* [`DROP PIPE`](https://docs.snowflake.com/en/sql-reference/sql/drop-pipe)
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* [`SHOW PIPES`](https://docs.snowflake.com/en/sql-reference/sql/show-pipes)
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The Snowflake emulator supports Snowpipe, allowing you to create and manage Snowpipe objects in the emulator. You can use Snowpipe to load data into Snowflake tables from files stored in a local directory or a local/remote S3 bucket.
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## Getting started
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src/content/docs/snowflake/features/stages.mdx

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Stages are a way to load data into Snowflake. You can use stages to load data from files in a variety of formats, including CSV, JSON, and Parquet. You can also use stages to load data from external cloud storage services, such as Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage.
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The Snowflake emulator supports stages, allowing you to load data into Snowflake using the same commands and syntax as the Snowflake service. The following operations are supported:
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- [`CREATE STAGE`](https://docs.snowflake.com/en/sql-reference/sql/create-stage.html)
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- [`DESCRIBE STAGE`](https://docs.snowflake.com/en/sql-reference/sql/desc-stage)
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- [`DROP STAGE`](https://docs.snowflake.com/en/sql-reference/sql/drop-stage.html)
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- [`SHOW STAGES`](https://docs.snowflake.com/en/sql-reference/sql/show-stages)
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The Snowflake emulator supports stages, allowing you to load data into Snowflake using the same commands and syntax as the Snowflake service.
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## Getting started
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src/content/docs/snowflake/features/storage-integrations.md

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Snowflake storage integrations enable access to external cloud storage like Amazon S3, Google Cloud Storage, and Azure Blob Storage. They manage authentication through generated IAM roles, enhancing security and simplifying data operations without exposing sensitive credentials. This approach centralizes and controls access, streamlining workflows across major cloud platforms.
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The Snowflake emulator supports storage integrations, allowing you to test interactions with external storage using the same commands and syntax as the Snowflake service. The following operations are supported:
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- [`CREATE STORAGE INTEGRATION`](https://docs.snowflake.com/en/sql-reference/sql/create-storage-integration)
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- [`DESCRIBE STORAGE INTEGRATION`](https://docs.snowflake.com/en/sql-reference/sql/describe-storage-integration)
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- [`DROP STORAGE INTEGRATION`](https://docs.snowflake.com/en/sql-reference/sql/drop-storage-integration)
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The Snowflake emulator supports storage integrations, allowing you to test interactions with external storage using the same commands and syntax as the Snowflake service.
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## Getting started
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src/content/docs/snowflake/features/streamlit.md

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Snowflake provides SQL commands to create and modify a `STREAMLIT` object. Streamlit is a Python library that allows you to create web applications with simple Python scripts. With Streamlit, you can create interactive web applications without having to learn complex web development technologies.
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The Snowflake emulator supports Streamlit, allowing you to create Streamlit applications using the same commands and syntax as the Snowflake service. The following operations are supported:
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- [`CREATE STREAMLIT`](https://docs.snowflake.com/en/sql-reference/sql/create-streamlit)
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- [`SHOW STREAMLITS`](https://docs.snowflake.com/en/sql-reference/sql/show-streamlits)
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- [`DESCRIBE STREAMLIT`](https://docs.snowflake.com/en/sql-reference/sql/describe-streamlit)
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- [`ALTER STREAMLIT`](https://docs.snowflake.com/en/sql-reference/sql/alter-streamlit)
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- [`DROP STREAMLIT`](https://docs.snowflake.com/en/sql-reference/sql/drop-streamlit)
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The Snowflake emulator supports Streamlit, allowing you to create Streamlit applications using the same commands and syntax as the Snowflake service.
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## Getting started
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src/content/docs/snowflake/features/tags.md

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Snowflake tags allow you to categorize and manage Snowflake objects by associating custom metadata with them. These tags support governance, cost tracking, and data lineage by enabling organizations to label resources with business-relevant information.
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The Snowflake emulator supports tags, allowing you to apply these tags to the local Snowflake tables, views, and databases using the same commands and syntax as the Snowflake service. The following operations are supported:
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- [`CREATE TAG`](https://docs.snowflake.com/en/sql-reference/sql/create-tag)
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- [`SHOW TAGS`](https://docs.snowflake.com/en/sql-reference/sql/show-tags)
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- [`ALTER TAG`](https://docs.snowflake.com/en/sql-reference/sql/alter-tag)
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- [`DROP TAG`](https://docs.snowflake.com/en/sql-reference/sql/drop-tag)
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The Snowflake emulator supports tags, allowing you to apply these tags to the local Snowflake tables, views, and databases using the same commands and syntax as the Snowflake service.
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src/content/docs/snowflake/features/tasks.md

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Tasks are user-defined objects that enable the automation of repetitive SQL operations in Snowflake. You can use tasks to schedule SQL statements, such as queries, DDL, and DML operations, to run at a specific time or at regular intervals.
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The Snowflake emulator provides a CRUD (Create, Read, Update, Delete) interface to manage tasks. The following operations are supported:
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- [`CREATE TASK`](https://docs.snowflake.com/en/sql-reference/sql/create-task)
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- [`DESCRIBE TASK`](https://docs.snowflake.com/en/sql-reference/sql/desc-task)
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- [`DROP TASK`](https://docs.snowflake.com/en/sql-reference/sql/drop-task)
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- [`SHOW TASKS`](https://docs.snowflake.com/en/sql-reference/sql/show-tasks)
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The Snowflake emulator provides a CRUD (Create, Read, Update, Delete) interface to manage tasks.
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## Getting started
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