As the data landscape becomes more complex with many new data sources, and data spread across data centres, cloud storage and multiple types of data store, the challenge of governing and integrating data gets progressively harder. The question is what can we do about it? This session looks at data fabric and data catalogs and how you can use them to build trusted re-usable data assets across a distributed data landscape.

Target Audience: CDO, Data Engineer, CIO, Data Scientist, Data Architect, Enterprise Architect
Prerequisites: Understanding of data integration software and development using a CI/CD DevOps approach
Level: Advanced

Extended Abstract:
As the data landscape becomes more complex with many new data sources, and data spread across data centres, cloud storage and multiple types of data store, the challenge of governing and integrating data gets progressively harder. The question is what can we do about it? This session looks at data fabric and data catalogs and how you can use them to build trusted re-usable data assets across a distributed data landscape.

• The increasingly complex data landscape
• Challenges in governing and integrating data in a distributed multi-cloud environment
• What is data fabric, why it is important and what technologies are on the market?
• What is a data catalog and what products are on the market?
• Why organizations need these technologies?
• How do data catalogs and data fabric work together?
• A closer look at data fabric capabilities
• Defining common data entities in a catalog business glossary
• Using a catalog for automatic data discovery
• A DataOps CI/CD Approach to building reusable trusted data assets in using data fabric