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Big Data Analytics: Turning Big Data into Big Money by Frank J. Ohlhorst

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Index

A

Abstraction tools

Access to data

Accuracy of data

Activity logs

Algorithms

accuracy
anomalies
data mining
evolution of
real-time results
scenarios
statistical applications
text analytics

Amazon

Amazon S3

Analysis of data. See Data analysis

Anomalies, value of

Apple

Applications

Archives

Artificial intelligence

Astronomy

Auto-categorization

Automated metadata acquisition systems

Availability of data

B

BA. See Business analytics (BA)

BackType

Backup systems

Batch processing

Behavioral analytics

Benefits analysis

Best practices

anomalies
expediency-accuracy tradeoff
high-value opportunities focus
in-memory processing
project management processes
project prerequisites
thinking big
worst practice avoidance

BI. See Business intelligence (BI)

Big Data and Big Data analytics

analysis categories
application platforms
best practices
business case development
challenges
classifications
components
defined
evolution of
examples of
4Vs of
goal setting
introduction
investment in
path to
phases of
potential of
privacy issues
processing
role of
security (See Security)
sources of
storage
team development
technologies (See Technologies)
value of
visualizations

Big Science

BigSheets

Bigtable

Bioinformatics

Biomedical industry

Blekko

Business analytics (BA)

Business case

best practices
data collection and storage options
elements of
introduction

Business intelligence (BI)

as Big Data analytics foundation
Big Data analytics team incorporation
Big Data impact
defined
extract, transform, and load ...

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