Successful completion of the exam awards the learner a Certificate of Completion for the Data Steward learning path.
Successful completion of the exam awards the learner a Certificate of Completion for the Data Steward learning path.
The Certified Collibra Getting Started designation is a great way to quickly demonstrate your data governance and data stewardship aptitude. You can earn this certification by taking and completing all of the courses in the Getting Started series and passing this Getting Started Certificate of Completion exam.
Instructor:
Tudor Borlea, Presales Engineer
Objectives:
Description:
Report certification and watermarking addresses how to determine which reports can be used as trusted documents. We begin by identifying the Critical Data Elements. The next step is to identify the lineage and the standards that need to be applied to each of their critical data elements. The third level of certification monitors the data quality for each of the critical data elements. If at the end of a process, the certification is approved, the report then carries a seal or stamp of approval. This mark indicates to the business users that the report is safe to use for decision making. A watermarked report indicates curated data, and this helps create a culture of governance from the ground up. Empowered users recognize the power of working through formal channels to publish reports and trust the data.
Instructor:
Joyce Snelders, Manager, Analytics and Cognitive, Deloitte Consulting LLP
Objectives:
Description:
This is the second course in a series based on the use case of a retail distribution company using Collibra to cleanse and monitor the quality of their data. In this course we will do a one-time configuration by asset type in order to integrate and ingest scores into Collibra to view how a data quality score has evolved over time. We will create a community and a rulebook domain, and then configure the data quality rules in Collibra Platform. Once all configurations are complete, we will link the data quality rule to the asset types we have created for it. Lastly, we will discuss how to create a data quality dashboard for a single asset.
Instructors:
Objectives:
Description:
This course is the first in a series based on a retail distribution company’s need to cleanse and monitor the quality of their data. This course will help business users trust their data by determining what data quality is and explaining data quality dimensions such as timeliness, completeness and accuracy. We will highlight the relationships between a business term, a business rule, a data quality rule and a data quality metric. Additionally, we will explain how data quality rules, metrics and dimensions are aggregated and assigned to an asset. To conclude, we will show you examples of a data quality dashboard for a single asset, giving you an idea of how it will look in your organization.
Instructor:
Ben Brendle, Presales Engineer
Objectives:
Description:
This course is designed for members of the Data Governance Council, as they begin to implement their program. Members of the council are representatives from business and technical data stakeholder functional groups. We will review organizational concepts, data governance structure, create communities and subcommunities, and assign roles and responsibilities.
Instructor:
Ben Brendle, Presales Engineer
Course Objectives:
Description:
This course is designed for Data Stewards who are responsible for utilizing an organization’s data governance processes to ensure fitness of data elements, both the content and metadata. Data Stewards have a specialist role that incorporates processes, policies, guidelines and responsibilities for administering organization’s entire data in compliance with policy and or regulatory obligations. We’ll review assets and asset types. We will also demonstrate how to create characteristics with attributes and relations.
Instructor:
Ben Brendle, Presales Engineer
Objectives:
Description:
This course is designed for Data Stewards who are responsible for utilizing an organization’s data governance processes to ensure fitness of data elements, both the content and metadata. Data Stewards have a specialist role that incorporates processes, policies, guidelines and responsibilities for administering organization’s entire data in compliance with policy and or regulatory obligations. We will start to create business terms and evaluate creating good definitions. We’ll also apply a round-trip export-import process to import multiple business terms from an Excel spreadsheet.
Instructor:
Nandini Rajagopalan, Solution Engineer
Objectives:
Description:
This course is designed for Technical Stewards who are involved in daily data-related decisions, execute business decisions and implement business requirements in a technology platform. We’ll review the following topics; use data dictionary to register a data source, view physical data models including schemas, tables and columns, examine data profiling, and identify logical data models using reference data.
Instructor:
Paul Windom, Presales Engineer
Objectives:
Description:
This course is designed for Data Stewards who are responsible for utilizing an organization’s data governance processes to ensure fitness of data elements of both the content and the metadata. We’ll begin by explaining the features of the Collibra Catalog and create the Customer Product Sales dataset. We will describe how to interpret business context, data elements, systems, and business processes related to customer product sales dataset; and an explanation of lineage diagram functions and configurations. We will also demonstrate using Collibra Everywhere, specifically to identify sales territory.