November 2015
Beginner to intermediate
256 pages
6h 24m
English
Content preview from Too Big to Ignore
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Index
A
A/B testing
ACID (atomicity, consistency, isolation, durability) principles
adjacent possible
Adner, Ron, The Wide Lens: A New Strategy for Innovation
The Age of the Platform (Simon)
Amazon
Best Buy price matching
Big Data statistics
Google and Amazon model
shipping fee error
analysis
A/B testing
data visualization
heat maps
Tableau software
time series analysis
Visually software
predictive analytics
LDMU (Law of Diminishing Marginal Utility)
LLN (Law of Large Numbers)
regression analysis
sentiment analysis
text analytics
Anderson, Chris
Free: The Future of a Radical Price
“Tech Is Too Cheap to Meter”
Angry Birds
Apache
Cassandra
Hadoop (See Hadoop)
Apple, Big Data statistics
appliances
applications
AppStore (Apple)
automation
machine learning
nanotechnology
NFC (near field communication)
RFID (radio-frequency identification)
sensors
B
bad data
Bayesian methods of analysis
Beane, Billy
Howe, Art, and
sabermetrics and
Best Buy
Bezos, Jeff
Bhambhri, Anjul
BI (business intelligence)
Big Brother
Big Data
acceptance gains within organization
bad data and
capabilities
characteristics
checklist
community knowledge
as complement
completeness
conferences and
consumers
current presence
data model evolution
definition
dynamism
evolution
experiments
fragmentation
goal setting
goals
Google Trends
as initiative
IT and
iterativeness
limitations
market size
naysayers
network effects
Obama re-election and
pitfalls
precision
predictions and
revolution
consumers and
platforms and
social ...
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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.