Red Hat Certified Specialist in Data Virtualization (RHCEDV)

A Red Hat Certified Expert in Data Virtualization is capable of performing the following tasks:

Establish and import data sources

  • Import from Flat File Source locally
  • Import from Flat File Source ftp
  • Import from RDBMS

Federate and transform data

  • Use the Teiid Designer wizards to automatically generate data translators
  • Understand and update generated translators
  • Apply simple data transformations such as Type Casting
  • Apply complex transformations inbuilt transformation functions
  • Use the various inbuilt translators

VDB Modeling

  • Aggregate different typed data stores to create a federated view including:
  • Files (flat and XML)
  • Multiple, different relational database
  • Implement SQL logic from distinct data stores
  • Understand and implement materialized views

Tuning

  • Improve performance by using in memory cache
  • Use techniques to bypass caches as needed
  • Tune caching behavior for specific requirements

Reporting/Data export

  • Create READ procedure
  • Expose procedure results as XML or JSON
  • Expose data as RestFul services
  • Understand and anticipate performance issues

Runtime

  • Package and deploy virtual databases
  • Understand how to use Teiid Designer to control and mange the Data Virtualization runtime

Audience

  • Developers and architects who will be responsible for modeling and creating federated views of multiple, different data sources using Red Hat JBoss Data Virtualization
  • Database administrators who may be involved in a project using Red Hat JBoss Data Virtualization to model and create federated views of multiple, different data sources

Exams and recommended training

Red Hat recommends the following course to help you prepare for the Red Hat Certificate of Expertise in Data Virtualization exam:

Exam

  • Red Hat Certificate of Expertise in Data Virtualization exam (EX450)

The Red Hat Certificate of Expertise in Data Virtualization exam tests candidates' skills and knowledge in the use of Red Hat Data Virtualization to integrate multiple data sources.

 

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