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.

获得DataOps的实用介绍，DataOps是一门以Facebook、Uber、LinkedIn、Twitter和eBay等公司的实践为灵感，大规模提供数据科学的新学科。组织需要的不仅仅是最新的人工智能算法、最热门的工具和最优秀的人才来将数据转化为洞察驱动的行动和有用的分析数据产品。20世纪用于管理和使用数据的流程和思维是有效处理当今组织拥有的各种数据和高级分析用例的瓶颈。