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Big	data	in	the	cloud	
welcome	to	cost	oriented	design
Arnon	Rotem-Gal-Oz
Chief	Data	Officer
Cost	oriented	design	 Cheap
(but	hopefully	cheaper)
Caveat Emptor
security
performanceavailability
correctness
scalability	
solution	cost
“Traditional”	design	for	cost
POC	
(choose	technologies,
understand	
constraints)
Size	needed	hardware purchase	HW	+	SW Optimize
Amdocs	TeraScale
Source:	https://www.youtube.com/watch?v=0N2KhuMKAxM
Optimize	&
maximize	utilization
Big	data	in	the	cloud
Let’s drill down
A
Retention
Analytic	Database
Vertica
vs.	
RedShift
security
performanceavailability
correctness
scalability	
solution initial	cost
security
performanceavailability
correctness
scalability	
Initial	cost
Variable	running	
costs
Dedicated	Servers	vs.	S3	with	EC2
Spot	instances
security
performanceavailability
correctness
scalability	
Initial	cost
Continuous	cost	
optimization
variable	cost
Analytics	database	
(take	2)
Redshift,	TokuMX
vs.
Druid
Google	BigQuery
What	do	users	actually need?“You can’t always get
what you want,
But if you try,
sometimes, you might find
you get what you need”
The	rolling	stones
Initial	cost
variable	cost
continuous	cost	
optimization
“COST ORIENTATION”
YOU KEEP USING THESE WORDS
I DON’T THINK THEY MEAN
WHAT YOU THINK THEY MEAN
BDX 2016 - Arnon rotem gal-oz @ appsflyer

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