January 2013
Beginner to intermediate
187 pages
5h 50m
English
book
Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses
by Michael Minelli, Michele Chambers, Ambiga Dhiraj
Content preview from Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
INDEX
Acts and legislation. See Legislation and acts
Advertising
ad targeting
geospatial intelligence and
industry examples
Affiliate marketing
Algorithm, definition
Algorithmic trading
Alvarez, Chuck
Analysts. See Data analysts
Analytics. See also Business intelligence (BI)
analytic applications
being analytical (see Institutionalizing analytics)
business intelligence versus
communication cycle
crowdsourcing analytics
data discovery
definition
delivering results (see also Data scientists; Visualizing data)
description of
firewalls and
geospatial intelligence
health care analytics
holistic
in-database analytics
institutionalizing (see Institutionalizing analytics)
marketing analytics (see also Marketing)
on mobile devices
MPP appliance analytics
new versus old
organizational structure and
platforms (see Platforms)
predictive (see Predictive analytics)
quants for Big Data (see Data scientists)
risk analytics
self-service approach
software as a service (SaaS)
spectrum of
tools for
value of
volume and
Web Analytics 2.0 (Kaushik)
Anonymized data
Apache Hadoop. See Hadoop
Appliances
data warehouse appliances
definition
GPU appliances
MPP appliances
Argyros, Tasso
ASCII codes in binary
Avro, definition
Awadallah, Amr
Bandwidth
Batch, definition
Beard, Randal
Behavioral data
advertising impact
behavioral targeting
credit scoring
cross-channel marketing
customer insights
emergence of
fraud prevention
recommendation engines
technology and behavioral sciences
BI. See Business intelligence ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.