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Evolving a Data System
Recorded at:

| by Simon Metson Follow 0 Followers on Apr 28, 2015 |
47:40

Summary
Simon Metson approaches the problem of evolving a data system; some patterns and anti-patterns both technical (e.g. polyglot systems, lambda architectures) and organisational (e.g. data silos, lava layers) to help users understand and begin to plan the refactoring of both their data processing system and their organisation.

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Bio

Simon Metson is a Product Manager in IBM's Cloud Data Services group, joining IBM via its 2014 acquisition of Cloudant. Simon joined Cloudant, the first database-as-a-service (DBaaS), in 2012, working on the Cloudant software, helping customers make the most of a DBaaS and building up the UK engineering team.

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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