Oracle Autonomous Data Warehouse: Data Quality & Workflow Framework

Oracle Autonomous Data Warehouse: Data Quality & Workflow FrameworkCERTITUBE

Summary

How can transformations, data quality and dependencies be organized from staging to the dataset?

This Data Framework on Oracle Autonomous Data Warehouse draws on DAMA data management practices. Its Data Staging Area (DSA) classifies information as STG for transactional data, STC for catalog tables and STH for historical data.

Query Mapping produces reusable intermediate tables. The design includes indexes, parameters in tables and business rule checks before each mapping, with email error notifications. Metadata documents attributes and supports versioning and change management; preserving history through partitions is also proposed.

The output dataset comes from the final mapping and its Query Dataset. QuickDBD is presented to support dataset modeling. Each workflow is encapsulated in a stored procedure with one or more mappings and generates one dataset. The monitor records checks, mappings, datasets, start and end, retaining the last N executions. Dependencies allow other workflows to be triggered as a controlled execution network.

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