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BDX 2016 - Arnon rotem gal-oz @ appsflyer
1.
Big data in the cloud welcome to cost oriented design Arnon Rotem-Gal-Oz Chief Data Officer
2.
Cost oriented design Cheap (but hopefully cheaper) Caveat Emptor
3.
4.
security performanceavailability correctness scalability solution cost
5.
“Traditional” design for cost POC (choose technologies, understand constraints) Size needed hardware purchase HW + SW Optimize
6.
Amdocs TeraScale Source: https://www.youtube.com/watch?v=0N2KhuMKAxM
7.
Optimize & maximize utilization
8.
Big data in the cloud
9.
Let’s drill down
10.
A
11.
Retention
12.
Analytic Database Vertica vs. RedShift
13.
security performanceavailability correctness scalability solution initial cost
14.
security performanceavailability correctness scalability Initial cost Variable running costs
15.
Dedicated Servers vs. S3 with EC2
16.
Spot instances
17.
security performanceavailability correctness scalability Initial cost Continuous cost optimization variable cost
18.
Analytics database (take 2) Redshift, TokuMX vs. Druid
19.
Google BigQuery
20.
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
21.
Initial cost variable cost continuous cost optimization
22.
“COST ORIENTATION” YOU KEEP
USING THESE WORDS I DON’T THINK THEY MEAN WHAT YOU THINK THEY MEAN
Download now