Technical: DQ Installation / Instance Sizing

Installation / Steps

Q: Do you have a step by step installation tutorial?
A: https://docs.owl-analytics.com/installation/full-install

Installation / Recommended Skills And Personas

Q: How long does it take to get set up with Collibra DQ?
A: With regards to implementation, Collibra Professional Services will provide best guidance but general approximations for the current self-hosted deployment are as follows:

• ~2-3 weeks to get environment in basic running shape (as always, depends on environment and use case complexity, proper access and permissions, and available skills)
• ~2-3 weeks to first value e.g. onboarding [20] medium / large tables with rules on [2] critical data sources

Q: What Technical Resources Needed On Customer Side?
A: Depends on deployment type and use cases, but typical skillsets and resources would include:

• Linux admin experience
• Yarn-based clusters e.g. Cloudera, EMR, DataProc
• SSO / LDAP knowledge
• JDBC and connection setup experience
• Access and knowledge of Networks, data sources, security settings, firewall
• Additional security admins may be needed depending on complexity and uniqueness of a customer’s environment

A: Typical titles would include:

• Data lake and Network admin
• Big Data Architect
• DevOps Engineers

Q: What training is offered to customers?
A: The following courses are available in Collibra University

https://university.collibra.com/learn/course/external/view/elearning/594/architecture-and-administration-in-collibra-data-quality

https://university.collibra.com/learn/course/external/view/elearning/590/introduction-to-scanning-and-profiling-in-collibra-dq

https://university.collibra.com/learn/course/external/view/elearning/588/preventing-data-quality-issues-with-collibra-dq

Installation / Licenses

Q: Do Licenses Specify Where You Run?
A: License Doesn’t Differentiate Install Location