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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 how a data lake, data fabric and data catalog software can be used to connect to and discover data across a distributed data landscape and enable continuous,  component based development  of data analytics pipelines to produce trusted re-usable data assets.This is otherwise known as Enterprise DataOps.

• The increasingly complex data landscape
• Challenges in governing and integrating data in a distributed multi-cloud environment
• Why are data catalog and data fabric software technologies important?
• Defining common data entities in a catalog business glossary
• Using a catalog for automatic data discovery 
• Creating a DataOps CI/CD approach to building reusable trusted data assets in using data fabric
• End-to-end DataOps from data lake to data marketplace