Enterprise DataOps: Continuous Component Based Development of Trusted, Reusable Data Assets
This session looks at how a data lake, data fabric and data catalog software can be used to connect to data across a distributed data landscape and enable continuous, component based development of data analytics pipelines.
What you'll learn
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.
Table of contents
About the author
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.