Informatica IDMC - Cloud Data Governance and Catalog (CDGC)

Obtain an Informatica license, create the admin user with security questions and password, then log in to the Idmc platform to access services like API center and data profiling.

Discover the IDMC services essential for CDGC, including administrator configuration for single sign-on and secure agents, monitor and operational insights, data governance and catalog, data marketplace, and metadata command center.

Learn to configure the administrator chiclet by enabling secure agent services—data integration, data quality, data governance and catalog—and selecting connectors such as Snowflake, S3, and JDBC.

Create a governance admin user group in Informatica IDMC, assign governance admin and monitor roles, and optionally designer, then save to grant access to data catalog and metadata command center.

The system saves the new user, assigns to a group, and triggers an activation email with status pending activation.

Explore core CDGC terminologies, including assets, data sets, domains, sub domains, business terms, business areas, policies, data quality rules, and lineage within the catalog and marketplace.

Explore the architecture of Informatica data governance and catalog within the Idmc ecosystem, featuring the AI engine Claire, unified metadata, elastic scaling, and secure, API-driven data integrations.

Configure secure agents and load-balance groups, then set up roles; create business assets in cdgs and technical assets via MCC scans, linking them with logical assets and publishing in marketplace.

Navigate the data marketplace and learn how end users browse assets, create data collections and categories, assign assets, and request access, all backed by the data catalog.

Define data domains in cdgc to organize customer and product assets, attach datasets, glossary terms, and metadata, assign ownership, apply region-specific policies, and enable data lineage and governance.

A subdomain is a child category within a domain that breaks complex data governance into manageable pieces, groups business terms, and enables search and navigation of assets in the CDSS.

Learn to create a subdomain manually in cdgc, assign a parent domain, configure details like reference id and security level, assign stakeholders, and review hierarchy and relationships.

Learn how business terms create a common vocabulary across departments in Informatica IDMC, linking terms to assets and enabling governance, lineage, and enterprise definitions.

Create a business term under a subdomain in the cloud data governance tool, providing name, reference id, security, data format, critical flag, and stakeholders, then save.

Create a sub business term by selecting the parent business term, naming it, adding description, reference ID, keywords, aliases, security, and Data Governance admin stakeholder, then save.

Explore import templates in Informatica cdgc, detailing foundational governance objects, technical metadata, and governance enablers, as spreadsheet templates with mandatory and optional headers and values such as create, update, delete.

Learn how to download and edit 18 asset templates in the data governance and catalog microservice, including domain, subdomain, and business term templates, for import.

Create a Snowflake data cloud connection for metadata extraction by configuring a new connection, selecting the Snowflake data cloud type, using key-pair authentication, and testing the connection.

Create a Power BI connection to scan reports for governance, revealing sources and data flow, then test the connection using a service principal.

Create catalog sources and configure metadata extraction, lineage, data profiling and quality, data classification, and relationship discovery; assign stakeholders and schedule scans in metadata command center.

Learn how to scan data sources in Informatica IDMC by configuring a Snowflake connection, enabling metadata extraction, applying include/exclude filters, and monitoring job logs and metrics.

Navigate to data governance and catalog to view scanned metadata, browse the data catalog, and inspect connections like strategic snowflake with tabs for overview, hierarchy, relationships, and stakeholders.

Explore data profiling and data quality from field level to view, table, and schema aggregations in Informatica IDMC, and configure data quality rules in CGS to view results.

Explore how logical assets in Informatica IDMC organize data into systems, datasets, and columns, representing source systems, tables or views, and their defining data elements.

Learn to manually create a dataset in the Snowflake system by selecting business data, adding elements from a view and other tables, and linking lineage, relationships, and data quality features.

Create a data set using scanned metadata from the data catalog by selecting a connection, schema, and scanned view, with auto populated columns and optional edits.

Attach glossary terms from the data catalog to technical assets, linking them to business assets. Update descriptions to reflect glossary definitions.

Explore asset groups and access policies in cloud data governance, detailing how to group assets by region, link policies, publish changes, and control permissions.

Create enterprise and subset asset groups in the metadata command center and publish them to govern pricing data, then define and apply user group policies to the business role.

Explore Informatica idmc's data quality service to cleanse and standardize data, create rule specifications and dictionaries, and integrate with CDC for data mastering and onboarding.

Explore data profiling as a separate service to run profiling on a data set and view patterns, profiles, and scorecards, and integrate results with CDC for valid and invalid records.

Use the data profiling service in Informatica Idmc to assess source data quality. Connect to Snowflake, select a view or table, and review results to shape Cdcc rules.

Create a rule specification in data quality by configuring inputs, primary and secondary rules, and logic to check nulls across columns, with testing, validation, and integration in CDC.

Apply your data quality rule specifications to technical fields in the data catalog, creating rule occurrences in CDGC to enforce completeness and null checks across schemas and views.

Execute data quality with rule occurrences on the SAP ECC schema using the metadata command center, monitor tasks, and validate results in the CDC application at field and view levels.

Learn to review data quality failed records in CDGC by profiling data, inspecting validity checks and failed samples, and taking action to correct the dataset.