About This Webinar
Aired Live on: February 22, 2018 @ 11:30 am ET
This webinar is the second in a series that is spotlighting Applied Data Governance. In Part 2, we transition to a day in the life of a Technical Data Steward where the focus will be on automated data profiling.
Who Should Attend: Enterprise Architects, Solution Architects, Data Architects, Chief Data Officers and Chief Information Officers, Data Governance Project and Program Managers, Data Stewards, Data Quality Managers, IT Implementers, Business Intelligence Program Managers and Data Warehousing Program Managers.
We will describe and demonstrate associated activities including:
- Automated relational database metadata retrieval
- Enhancing the data catalog by connecting business and technical metadata
- Data quality checks
- Discovery and flagging of overloaded data fields
More on the Presenters:
Jesse Lambert is a Semantic Solutions Architect at TopQuadrant and has over a decade of experience in applying Semantic Web technologies. He is currently supporting a large, public financial institution with their integration of TopBraid EDG into a semantic search pipeline that enables business users and eliminates data stovepipes.
Jack Spivak is a Semantic Solutions Architect at TopQuadrant. He performs solution requirements, architecture analysis, design, and semantic model-driven application development on TopBraid EVN and the TopBraid platform, especially in the areas of ontology development, custom and standardized controlled vocabularies and the relationships between these. Jack came to TopQuadrant in 2013.
About our Applied Data Governance Series
Data governance can mean different things to different organizations and to different people within an organization. What is essential is that it delivers value by aligning management of data with an organization’s uses of data to achieve its business goals. To accomplish this, there is a lot to know and do – from data profiling and dictionaries to policies and processes and everything in between. As a result, applied data governance requires practical, day-to-day integration of top-down, bottom-up and middle-out processes and capabilities. Effective end-to-end data governance is only possible through such integration. Many roles within a company deliver or derive business value as a result of data governance, often in collaboration with each other. In the series we will focus on the various aspects of applied data governance as performed and experienced by different stakeholders, and the connections between them.
Part 1 in the series, A Day in the Life of a Business Steward focused on some typical activities of a Business Data Steward while managing business glossaries and collaborating with other members of the data governance team. It highlighted the business value delivered – improved quality and understandability of business data – as a result of the work of a Business Data Steward.