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Devops提升数据全价值链的交付能力
技术创新,变革未来
目录
• Software vs. Data and DevOps vs.DataOps
• Value Delivery: from Data to Product
• DataOps+ for Experiment System
2020
“In the future, ALL companies
will be SOFTWARE companies”
George F. Colony (CEO Forrester Research)
DevOps is Reshaping Software Engineering
• Development + Operations
• The 3rd revolutionary movement in Software
Engineering
• “DevOps is a set of practices intended to
reduce the time between committing a change
to a system and the change being placed into
normal production, while ensuring high quality.”
• DevOps is the first productive force in
contemporary software industry
2020
“In the future, ALL companies
will be DATA companies”
2020
What is DataOps?
• DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve
the quality and reduce the cycle time of data analytics. —-Wikipedia
• DataOps is an agile approach to designing, implementing and maintaining a distributed data
architecture that will support a wide range of open source tools and frameworks in production. The goal
of DataOps is to create business value from big data. —-
• DataOps is the practice of operationalising data management and integration to rapidly meet new
business demands for data, and to deliver continuously with confidence, in a world of fragmented data
and ceaseless change. —-
• DataOps is the hub for collecting and distributing data, with a mandate to provide controlled access to
systems of record for customer and marketing performance data, while protecting privacy, usage
restrictions and data integrity. —-
• DataOps is the orchestration of people, processes, and technology to deliver trusted, business-ready
data to data citizens, operations, appl
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