July 2017
Intermediate to advanced
68 pages
1h 28m
English
Content preview from Implementing a Smart Data Platform
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Chapter 3. The Advent of Smart Enterprises and SmartDP
Despite the difficulty of transition in the smart data era, many emerging enterprises rose above others and enhanced their competitiveness with data, which shocked traditional enterprises in all fields. According to the Mobile Internet Report 2016 issued by A16Z, the data giants represented by GAFA (Google, Amazon, Facebook, and Apple) have accumulated competitive advantages in the fields of data and technology and earned more than three times the revenue of Wintel (Microsoft and Intel) on an annual basis. In turn, they are changing the forms and modes of traditional industries through data and technology, including retail, media distribution, automotive, and so on.
These new pioneers share something in common: they have implemented a data-driven business model and a sophisticated data asset management system. Furthermore, they are able to drive contextual applications by using data, as well as explore and convert commercial value in an efficient manner. Such enterprises that have built a data-driven culture are called smart enterprises. Characteristics of smart enterprises include the following:
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Their flexible technical platforms and data science capacity can sufficiently support huge data scale, large data dimensions, complicated data types, and flexible data formats. These platforms also enable quick insights from data, which increases the efficiency of various data application contexts.
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Their unified data management ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.