书目名称 | Practical DataOps | 副标题 | Delivering Agile Dat | 编辑 | Harvinder Atwal | 视频video | http://file.papertrans.cn/753/752929/752929.mp4 | 概述 | Introduces a new method to increase value from data science and machine learning.Helps you get past challenges, barriers, and bottlenecks to create value from data.Guides you in choices for prioritizi | 图书封面 |  | 描述 | Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making..Practical DataOps. shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles..This book helps you to improve the speed and accuracy of analyt | 出版日期 | Book 2020 | 关键词 | DataOps; Data Science; Data Engineering; Machine Learning; Artificial Intelligence; Advanced Analytics; Cl | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-5104-1 | isbn_softcover | 978-1-4842-5103-4 | isbn_ebook | 978-1-4842-5104-1 | copyright | Harvinder Atwal 2020 |
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