Devops提升数据全价值链的交付能力.pdf

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