Validio supports many of the major data warehouses that modern data teams work with today. The following sections cover general considerations for creating data warehouse sources in Validio.

Window Types

When defining Windows on your Data Warehouse sources, you can define either a tumbling window or a global window. Generally, when the source includes a timestamp field, we recommend using a Tumbling window. For more information, see About Windows.

Cost and Performance

Validio applies advanced optimizations when it reads and processes data for validations. For example, Validio processes data incrementally, leverages pushdown, consolidates related queries, and optimizes queries for each query engine.

Typically, our customers notice a very low (~1 %) impact on performance and/or cost on their Data Warehouse, when they use Validio.

When you validate data in a Data Warehouse, we recommend that you:

• Apply optimizations, such as indexing, partitioning, and clustering, on the specified cursor field.
• Be aware that querying views or external tables can consume significantly more resources than querying regular tables.
• Consider the size of the fields you validate. Validating fields with much data, such as text blogs, is more resource intensive than validating fields with less data.