Data-Centric Architecture — Can We Get the Toothpaste Back in the Tube?
Wednesday, October 21, 2020
09:00 AM - 09:50 AM
Case Study
The need for a comprehensive understanding of an enterprise’s data assets generally comes after the toothpaste is out of the tube — the application-centric data silos have all been built. The classic result of this is a huge investment in data integration, time spent in sourcing and standardizing data for each application, enormous redundancy in data between systems, and then an ongoing burden of maintenance and impact assessment for even the smallest of schema changes. But what happens when you adopt a data-centric view right from the start? And when that succeeds, how do you roll out the concept across additional business units in the enterprise? Can you, in fact, get the toothpaste back in the tube?
This presentation will describe what happened when a data-centric philosophy was adopted in one business division, and then the experience in leading a transformation by taking that data-centric practice and its patterns from one division and adopting them across an enterprise.
- What is Data-Centric vs Application-Centric?
- Problems of application centricity that are overcome with data centricity
- Challenges in pursuing a data-centric approach
- The roles of:
- Enterprise master data
- The logical model
- The Enterprise data dictionary
- The Data Architect
- Metadata-driven schema deployment
- What have we gained from taking this data-centric approach?
- Outlook and opportunities ahead
Dave McComb is the President and co-founder of Semantic Arts. Semantic Arts specializes in helping medium to large enterprises adopt Knowledge Graph technology and Data-Centric application development. Dave has been running Semantic Arts for 22 years. He has led major Data-Centric initiatives at Morgan Stanley, Amgen, Verizon, Price Waterhouse, Procter & Gamble, International Monetary Fund, Lexis Nexis, Goldman Sachs, Electronic Arts, Standard & Poors, Dunn & Bradstreet, and several mid-sized companies. He is the author of Semantics in Business Systems, Software Wasteland, and The Data-Centric Revolution.
Mark joined Market Intelligence in 2006 as a Senior Software Engineer. During his tenure, he has worked his way through a variety of roles and now serves as Vice President, Architecture. His work focuses on rolling out the Data Management System (DMS) across their organization and the development of the Data Pipeline and Data Glue strategies. He aims to improve time-to-market for product delivery as well as the accuracy and timeliness of their content through these initiatives by providing common, well-known data models, leveraging a multitude of horizontally-scalable database technologies.
Hamish Brookeman has served as the lead Data Architect of SNL Financial and continues to head the Data Architecture team at S&P Global Market Intelligence. Hamish has been instrumental in the establishment and successful application of his Data Architecture department, itself a major driver of consistent year-over-year growth in both revenue and product delivery channels.