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Talend Data Catalog Certified Implementer

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Talend certification exams measure candidates’ skills to ensure that they have the knowledge to successfully implement quality projects. Preparation is critical to passing.

 

This certification exam covers the Talend Data Catalog Basics and Talend Data Catalog Advanced learning plans. Test coverage also includes installing the Talend Data Catalog application, the configuration of the application and associated database servers as well as Talend Data Catalog REST API management.

 

Certification exam details

Duration: 60 minutes

Number of questions: 45

Passing score: 65%

 

Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standard.

 

Recommended experience

  • At least six months of experience using Talend products

  • Knowledge and experience with Talend Data Cataloging and Business Intelligence systems and metadata management

  • Knowledge of data transformation processes using BI tools, ETL tools, data stores, data marts, data warehouses, and data models

  • Familiarity with Talend Data Catalog 7.3 user interface

  • Knowledge of Talend Data Catalog REST API management

     

Preparation

To prepare for this certification exam, Talend recommends:

Badge

After passing this certification exam, you are awarded the Talend Data Catalog Implementer Certified badge. To know more about the criteria to earn this badge, refer to the Talend Academy Badging program page.

 

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Certification exam topics

Overview of Talend Data Catalog

  • Define Data Catalog

  • Define the Business Intelligence systems

  • Explain the data transformation processes

  • Explain the architecture of Talend Data Catalog

  • Differentiate between Data Cataloging and metadata management

 

Managing user roles and tasks

  • Define user, groups, role-based access, and security privileges

  • Manage configurations

  • Manage license editions to include updates and patches

  • Customize users and groups as well as their interfaces and dashboards

 

Harvesting metadata

  • Differentiate between full harvesting and incremental harvesting

  • Use a bridge to collect metadata from source data

  • Harvest metadata

  • Work with data profiling and sampling

  • Manage metadata repository

  • Automate harvesting

 

Stitching metadata

  • Stitch objects together in a configuration to define the data flow

  • Build a configuration to connect models

  • Document metadata objects using labels and comments

  • Maintain data connections and metadata stitching

 

Managing business glossaries

  • Build a business glossary

  • Import and export objects, definitions, and relationships

  • Map a business glossary to another model

  • Manage semantic types to compare data values

  • Define relationships to cross-link terms and categories in the catalog

 

Tracing and analyzing data flow and semantic lineage

  • Manage data mapping for data flow lineage and impact analysis

  • Manage semantic mapping for semantic lineage and definition

  • Design, configure, and produce custom lineage reports

 

Working collaboratively using social catalog and glossary workflow

  • Orchestrate data curation using social catalog

  • Manage workflow and publication

  • Perform advanced searches using specific parameters

  • Publish Microservices versus OSGi bundle

 

Accessing Talend Data Catalog REST API

  • Use REST API to run requests on the repository, glossaries, and users

  • Import and export data using the REST API