Talend Data Catalog
Certified Implementer Exam

Overview of Talend Data Catalog

• Define Data Catalog
• Define the Business Intelligence (BI) systems
• Explain the data transformation processes (BI tools, ETL tools, on-premises databases, data stores, data marts, data warehouses, and data models)
• Explain the architecture of Talend Data Catalog (configuration and diagram, including Remote Metadata Harvesting Agents)
• Differentiate between data cataloging and metadata management

Harvesting metadata (configuring data models, bridges, profiling, data masking, automating, and versioning)

• Differentiate between full and incremental harvesting
• Use a bridge to collect metadata from a data source (data store, Data Integration (DI) tool, BI tool, or business application)
• Harvest metadata (flat files, database schemas, DI Jobs, Tableau reports, and Qlik)
• Perform data profiling, classification, labeling, and sampling, including incremental data profiling
• Manage a metadata repository
• Automate harvesting and versioning control

Model management (concepts, terms, definitions, custom attributes, and semantic types)

• Build a business glossary, including bootstrapping a glossary
• Import and export objects, terminologies, definitions, and relationships
• Map a business glossary to another model
• Build and populate a custom model, including importing and exporting metadata
• Manage relationships in the catalog

Mapping tracing, and analyzing data flow

• Differentiate between the types of data mappings, including import, export, and forward engineering
• Manage data mapping for data flow and impact analysis

Managing metamodel and data modeling

• Describe metamodeling concepts
• Manage metamodels, including importing and exporting
• Describe data modeling, including naming standards and versioning
• Work with data models

Managing data classes

• Manage data classes, including importing and exporting
• Describe data classification groups and classification process management