Snowflake Component

Overview

Semarchy xDI allows to work with Snowflake to produce fully customized Data Flows.

The database structure can be entirely reversed in Metadata and then used in Mappings and Processes to design and adapt the business rules to meet the user’s requirements.

Install the Snowflake Component

If you did not install it yet, install the Snowflake component in Designer by following the component installation process.

Supported Features

Common Features

Feature Description

Reverse

Metadata can be reverse engineered.

DDL/DML Operations

DML/DDL operations can be performed on the database, such as: Insert, Update, Select, Delete, Create or Drop.

Integration Methods

  • Append

  • Incremental Update

Load Methods

  • Generic Load

  • Snowflake COPY Statement

Staging Methods

This technology can be used as a staging to make data transformation, mutualization, and more.

The following methods are supported:

  • Staging as Sub-Query

  • Staging as View

  • Staging as Table

Rejects

Reject rules can be defined to filter or detect data that does not fulfill the rules during integrations.

Replication

Data can be replicated from or to this technology using Replicators.

Slowly Changing Dimension (SCD)

Slowly Changing Dimension (SCD) feature can be used optionnaly when integrating data in this technology.

Sub-Metadata support

The Snowflake component lets you create Sub-Metadata on Snowflake schema and query folder Metadata nodes.

To learn more about Sub-Metadata, see Work with Sub-Metadata.

Additional Features

Feature Description

Supported Storages

Storages supported to store temporary files for performances optimizations:

* Snowflake internal stage * Microsoft Azure Storage * Amazon S3