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Strateški pogled, izzivi ter perspektive poslovne analitike in masovnih podatkov
Published on Mar 11, 20171598 Views
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Chapter list
Tutorial: Introduction to Big Data00:00
Big - Data in numbers01:15
$5 million vs. $40001:34
In 60 seconds05:42
How people spend their time - 107:45
How people spend their time - 207:50
Big - Data definitions09:20
...so, what is Big Data?09:23
Characterization of Big Data11:26
The extended 3 + n of Big Data16:37
Motivation for Big - Data 18:23
Big - Data popularity on the Web18:25
...but what can happen with hypes23:24
Structure of Big Data23:59
What about the future?26:04
Why Big - Data27:31
Enabler: Data storage27:50
Enabler: Computation capacity28:40
Enabler: Data availability29:14
Type of available data30:01
Data available from Internet of Things30:03
Birth & Growth of Internet of Things31:59
Gains from Big - Data per sector32:39
Predicted lack of talent for Big - Data related technologies32:42
Big Data Market34:48
Big Data Landscape 201635:04
2012 Worldwide Big Data37:13
Big Data Revenue by Type, 201237:52
Big Data Market Forecast (2011-2017)38:31
Techniques38:55
When Big - Data is really a hard problem?39:08
What matters when dealing with data?40:55
Meaningfulness of Analytic Answers (1/2)45:35
Meaningfulness of Analytic Answers (2/2)45:57
What are specific operators used in Big - Data applications48:19
...guide to Big - Data akgorithms48:21
Data Science48:59
Defining Data Science49:59
Statistic vs. Data Science50:06
Business Intelligence vs. BI52:14
Relevant reading52:18
Final thoughts52:32
Literature on Big - Data52:34
...to conclude52:47