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Serverless Data Processing…
Built for Internet S C A L E
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
2
About the speakers
Our Post about Serverless:
https://medium.com/nmc-techblog/going-serverless-c334ae242ca6
NMC Tech Blog:
https://medium.com/nmc-techblog
Opher Dubrovsky
Big Data Team-Lead
Ilai Malka
Big Data Developer
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
3
What You’ll Hear About
• Our data pipeline
• Why Serverless ?
• Problems we had to solve
• Solution Architecture
• Results
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
4
Segmentation Upload To Networks Run Campaigns
About Nielsen Marketing Cloud (NMC)
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
5
Campaign for new Women Nike shoes
For women who live in TLV that like to run
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
6
ID Segment Tags
aa123 Tel-Aviv,
female,
sports,
development
c5551 Tel-Aviv,
male,
cooking_enthusiast
bb34a Tel-Aviv,
female
Segment IDs (user list)
Tel-Aviv aa123, c5551, bb34a
female aa123, bb34a
male c5551
sports aa123
development aa123
cooking_
enthusiast
c5551
Users Segments
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
7
ID Segment Tags
aa123 Tel-Aviv,
female,
sports,
development
c5551 Tel-Aviv,
male,
cooking_enthusiast
bb34a Tel-Aviv,
female
Segment IDs (user list)
Tel-Aviv aa123, c5551, bb34a
female aa123, bb34a
male c5551
sports aa123
development aa123
cooking_
enthusiast
c5551
Users Segments
Campaign questions Result
users in Tel-Aviv that
are female
aa123, bb34a
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8
The Old System
Java
code
Java
code
Java
code
Java
code
Java
code
….
Platforms
file
….
Servers
file
file
file
file
file
file
Files to Process
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
9
The Old System
Java
code
Java
code
Java
code
Java
code
Java
code
….
Platforms
file
….
Servers
file
file
file
file
file
file
Files to Process
Hard to:
• Scale
• Monitor
• Manage
• Add platforms
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
10
250 Billion
Tags/Day
Scale up / down
Fault
tolerance
Cost Effective
The Challenges
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11
Solutions Explored
EC2 Machines
Spark / EMR
Serverless (Lambda)
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12
Serveless (Lambda)
• Costs can escalate
• Environment limitations
• Scale is built-in
• Focus on your business goals
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13
The Architecture
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
14
The Architecture
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
15
The Data Path
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
16
The Management Path
Copyright©2017TheNielsenCompany(US),LLC.Confidentialandproprietary.Donotdistribute.
17
250 Billion
Tags/Day
0.3 - 1 TB/hour
Quickly Scales
Up and Down
Top Day Ever
750 Billion
Tags/Day
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18
~ $1000
per Day
~ $4
Per Billion Tags Total cost ($):
25,487 per month
Lambda 74%
S3 13%
DB 11%
Other 2%
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19
What we got for FREE
Scale up / down - no brainer
Shorter time to market
Cost feedback loop
Canary deployment
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20
What we build on our own
Specific ad networks requirements
Rate limiter / Back pressure
Task management + prioritization
Cost control
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21
Should You Consider This ?
YES !!!!!
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22
Questions?
This artwork was created using Nielsen data.
Copyright © 2017 The Nielsen Company (US), LLC. Confidential and proprietary. Do not distribute.
Come and join us!
https://www.comeet.co/jobs/nielsen/33.000

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