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ELIOT HOROWITZ
CTO & Co-Founder, MongoDB
@eliothorowitz
Big Data is
Modern data
Changing Assumptions
300M. $1,000,000. 3 copies
1980: $193,000/GB -> 6 bytes/person
1987: $45,000/GB -> 26 bytes / person
1997: $100/GB -> 11k / person
2007: $0.50/GB -> 2mb / person
2017: $0.04/GB -> 28mb / person
~10 Datacenters ~500 Ad Servers 1 Oracle DB
40_GB_of_ads.csv
40_GB_of_ads.csv40_GB_of_ads.csv40_GB_of_ads.csv40_GB_of_ads.csv40_GB_of_ads.csv
Updated: 12 NOV 2018, 02:30:14
Crawlers
x many
Shopwiki
350K retailers
500M products
Frequent catalog refresh
Retailers
"Shards"
MySQL
Search
server
x 11
Shopwiki
Challenge
Manual Sharding
Manual synchronization
Feature extraction schema
Refresh delays
Modern requirement
Lots of data
Many use cases for data
Flexible schema
Realtime
Modern Apps == Modern data
Modern applications are characterized by:
Developer agility
Infrastructure agility
Uncompromising user experience
Developer agility
High productivity
Rapid release pace
Infrastructure agility
Automated
Platform agnostic
Elastic and Scalable
Cloud-ready,
public or private
Uncompromising user experience
Real-time
Global
Integratable/pluggable
Challenges you face in
a modern application era
Size & Cost
Speed & Availability
Data Placement
Security
Features for Modern Big Data
Rich structure Intrinsically Distributed Runs everywhere
Rich Structure
Rich Structure:
Benefits
Easier for developers
REST APIs virtually free
Fewer denormalized copies
Rich Structure:
table stakes
Efficient
Schema
ACID transactions
Ubiquitous
Great query language
Not Cool: Schema Hassles
Not Cool
Intrinsically Distributed
Intrinsically Distributed:
Benefits
Scale
Workload isolation
High availability
Elastic storage (e.g. S3)
Intrinsically Distributed:
table stakes
Triggers
Consistency
Transactions
Not Cool:
Manual
Sharding
Not Cool:
Building your own
Synchronization Layer
Runs everywhere
Runs everywhere:
Benefits
Same architecture from iron
to containers
Private cloud to public cloud
Sync to mobile/IoT platforms
Runs everywhere:
Table Stakes
No vendor lock-in
Powerful features
Not Cool:
Niche Hiring
requirements Java
Map-Reduce
Programmers
Not Cool
Rich Structure
MongoDB MySQL Postgres DynamoDB
Intrinsically Distributed
Aurora Cassandra MongoDB
runs everywhere
MongoDB MySQL Postgres
The Pitch
Your business is an app
Your Modern data solution must:
Support Rich structure
Be Intrinsically Distributed
Run everywhere
ELIOT HOROWITZ
CTO & Co-Founder, MongoDB
@eliothorowitz
Thank you

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