Cloud Data Quality

Informatica Cloud Data Profiling is one of several services available in the Intelligent Data Management Cloud(IDMC). Data Profiling can be used to create data profiling tasks. You can create and run a data profiling task on a data source to determine the quality of data and understand the completeness, conformity, and consistency of data.

Here, you will learn how to discover and analyze data anomalies across all data sources, test assumptions about the data, and how data can be parsed, standardized, and validated using rules and dictionaries.

Let's see how to Schedule Data Profiling Tasks in Cloud Data Quality. This automated scheduling saves time and significantly improves our data management strategies.

Use the Data Profiling REST API to interact with the Data Profiling Service through API calls. You can use the REST API to perform tasks and submit or get details for your organization. For example, you can perform tasks such as creating, deleting, and updating queries and profiles.

Tuning guidelines to improve the performance of data profiling tasks.

Insights is a method for discovering data quality issues in your data. The issues can range from anomalous data values to complex inconsistencies. Insights in Data Profiling automates the process of detecting data quality issues.

The CLAIRE™ artificial intelligence engine provides insights and generates recommendations for your data that you can approve or reject. CLAIRE can run automatically on profiles and display recommendations that enable you to detect data quality issues.