文森特•莫斯可 美国哈佛大学社会学博士，加拿大皇后（Queen）大学传播学教授，曾担任皇后大学社会学系系主任，国际著名传播政治经济学者，获得加拿大卓越教授荣誉。在媒介与信息技术方面，莫斯可博士有很多著作及文章，在国内翻译出版的著作有《传播政治经济学》、《数字化崇拜：迷思、权力与赛博空间》、《信息社会的知识劳工》等。

In the wake of revelations about National Security Agency activities many of which occur in the cloud this book offers both enlightenment and a critical view. Cloud computing and big data are arguably the most significant forces in information technology today. In clear prose, To the Cloud explores where the cloud originated, what it means, and how important it is for business,...(展开全部)

When Profit from the Core was published in 2001, it became an international bestseller, helping hundreds of companies find their way back to profitable growth after the bursting of the Internet bubble. The 2007 global financial meltdown reaffirmed the perils of pursuing heady growth through untested strategies, as firms in industries from finance to retailing to automobiles str...(展开全部)

An optimistic exploration of how, through radical economic reform, the United Kingdom can prosper and flourish in the new global economy Taking a refreshingly realistic approach, Alex Brummer outlines how our current moment can be reshaped into an unprecedented opportunity for economic prosperity. With a new long-term approach, Britain can capitalize on the ever-changing global...(展开全部)

In Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes...(展开全部)

This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations.

There's been a massive amount of innovation in data tools over the last few years, thanks to a few key trends: * *Learning from the web*. Techniques originally developed by website developers coping with scaling issues are increasingly being applied to other domains. * *CS+?=$$$*. Google have proven that research techniques from computer science can be effective at solving prob...(展开全部)

Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory.

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoD...(展开全部)

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoD...(展开全部)