Data classification is the process of identifying and organizing data into relevant categories based on the functional meaning of data. Classifying data can help your organization manage risks, compliance, and data security.
Enable the data classification capability on a catalog source to identify and organize critical source data into logical categories so that you can take measures to work effectively on it.
Users can either classify data based on AI-defined inclusion rules generated by CLAIRE, or you can curate rule-based data classifications manually in Data Governance and Catalog after the metadata is ingested into the catalog.
To create rule-based data classifications, you can either use the predefined classifications, or create custom rules to classify data that is unique to your organization. Metadata Command Center provides more than 200 predefined data classifications by default.
When Users configure Data Classification, choose either CLAIRE generated classifications, data classification rules, or both.
- Knowledge of Data Discovery, Metadata Extraction, Data Profiling, Building Regular Expressions
- Understand the Feature and Functionality of Data Classification
- Understand how Data Classifications are created and tagged to the objects in CDGC
- Learn how to create Classifications and expressions for the rules
- Understand about the Generated Data Classification
- Gain a Comprehensive understanding of overall process of how Data Classification can be created, deleted, curated and its types.
- Ease of understanding on how to view the Data Classifications in CDGC and searching for them.
- Get insights about the Generated Data Classifications.
- Administrator
- Governance Administrator
- Governance User
- Business Users
Ask An Expert
Feature Clarity
Cloud Data Governance and Catalog
Ask An Expert
Configure
Implement
Optimize
Adoption - Technical
Functional
AAE-CDGC-014
Disclaimer
- All the topics covered in the Success Accelerators/Ask An Expert sessions are intended for guidance and advisory only. This is implicit and it will not be called out under the scope of each engagement.
- Customers need to include their relevant technical/business team members highlighted in each engagement topic to derive the best out of each engagement.
- Customers need to perform any hands-on work by themselves leveraging the guidance from these engagements.
- Customers need to work with Informatica Global Customer Support for any product bugs/issues and troubleshooting.