Course for Job: Data Steward

Report Certification and Watermarking

Instructor:

Tudor Borlea, Presales Engineer

Objectives:

  • Apply report certification process
  • Identify critical data elements
  • Select standards to apply to critical data elements

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.

Data Quality Configurations and Dashboards

Instructor: 

Joyce Snelders, Manager, Analytics and Cognitive, Deloitte Consulting LLP

Objectives:

  • Interpret data quality components within Collibra Platform
  • Determine an aggregation path in the data quality rule configuration
  • Explain a data quality dashboard for a single asset

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.

 

Interpreting Data Quality in Collibra Platform

Instructors:

  • Joyce Snelders, Manager, Analytics and Cognitive, Deloitte Consulting LLP
  • Darshana Galande, Senior Consultant, Deloitte Consulting LLP

Objectives:

  • Appraise data quality for business purposes
  • Assess relationships between assets and metrics
  • Support accountability through data quality dashboards

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.

Getting Started: Communities, Domains and Stewardship

Instructor:

Ben Brendle, Presales Engineer

Objectives:

  • Outline organizational structure
  • Compare communities and domains
  • Classify the roles and responsibilities

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.

Getting Started: Assets and Asset Types

Instructor:

Ben Brendle, Presales Engineer

Course Objectives:

  • Explain the metamodel
  • Classify assets with asset types
  • Relate characteristics with attributes and relations

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.

Getting Started: Business Glossary

Instructor:

Ben Brendle, Presales Engineer

Objectives:

  • Explain Business Glossary domain
  • Summarize good definitions
  • Demonstrate importing business terms

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.

Getting Started: Data Dictionary and Reference Data

Instructor:

Nandini Rajagopalan, Solution Engineer

Objectives:

  • Explain registering a data source with Data Dictionary
  • Relate physical data dictionary to schemas, tables and columns
  • Outline logical data models, data entities and data attributes with Reference Data

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.

Getting Started: Catalog, Collibra Everywhere and Lineage

Instructor:

Paul Windom, Presales Engineer

Objectives:

  • Demonstrate creating data sets in Collibra Catalog
  • Explain features of Collibra Everywhere
  • Relate technical lineage to business assets in traceability diagrams

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.

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