June 2013
Beginner to intermediate
320 pages
9h 17m
English
book
Big Data Imperatives: Enterprise 'Big Data' Warehouse, 'BI' Implementations and Analytics
by Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa
Content preview from Big Data Imperatives: Enterprise 'Big Data' Warehouse, 'BI' Implementations and Analytics
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CHAPTER 9
Data Scientist
The realm of big data analytics is vastly different from transaction processing applications and BI applications; here, one discovers and answers questions in area where we don’t know what we don’t know. The skills required to do these kinds of activities are unique and certainly multi-faceted.
On a general level we can define data as having three important characteristics: composition, context, and condition. Composition refers to the structure of the data: what is the source, what is the granularity, what are the data types, what is the nature of the data (mostly static data or real time streaming data), etc. Context ...
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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.