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© 2015 MapR Technologies
Fastest Adoption of New Enterprise Technology
Hadoop trials,
science projects
in a corner
Large
mission-critical,
operational
deployments
Two Kinds of Companies
Mandate to
cut IT/storage
costs &
create an
innovation
platform
The
Rest
Born in
Big Data
Competitive
edge is the
big data
process
Lesson #1
It’s about “As-It-Happens”
Because real-time data-to-action cycle
makes the difference
Targeted Marketing: Mobile Push
Entertaining Millions
Advertising
Automation
Cloud
Buyers
Cloud
Leading the Automation of Advertising
Sellers
Cloud
More Use Cases
The Leading Edge Companies Are Asking…..
Is there an overall architectural
approach?
How do we re-platform the enterprise?
Apps dictated
the data format
Data freely supports
varied compute engines
Data Silos Can’t have silos
ETL Ingest & Go
Lesson #2
Real-time Requires
Big AND Fast
(in one cluster)
Architecture for a Data-Centric Enterprise
Physical Machines
Data Services
Data Center Operating Services
Distributed Applications
Myriad
Project
Open
Source
Joint
Effort
Benefits
Community
based
eBay
MapR
Mesosphere
Running
YARN in
“Mesos
Framework”
DB
Operations
Real-Time and
Actionable
Analytics
Operations + Analytics on One Hadoop Platform with SQL Access
Mobile
application
server
Customer 360
dashboard
Churn analysis Product/service
optimization and
personalization
Real-time ad
targeting
Web application
server
Data exploration
(SQL)
MapR-DB Multi-Master Replication
Asynchronous,
bi-directional
replication
Lesson #3
Data Agility is a Must
Managing it
Processing it
Exploring it
Using it
Fixed data
format
Data formats evolve
constantly
Self-Service Data Exploration
Data Agility with Less IT Required
Single SQL Interface for Structured
and Semi-Structured Data
Advice for your Journey
No matter what use case you start with…
you will require real-time & enterprise-grade
“As it happens” is just as much about business
process reinvention as technology
Lesson #4
Good Enough Won’t Be…
Once your business users start experiencing the value
of real-time big data, they will only want more & faster
Top-Ranked NoSQL
Top-Ranked Hadoop
Distribution
Top-Ranked SQL-on-Hadoop
Solution
Free
Hadoop On-Demand Training
$50M In-Kind Contribution to the Hadoop Community
Strata+Hadoop 2015 Keynote: Impacting Business as it Happens

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Strata+Hadoop 2015 Keynote: Impacting Business as it Happens

Editor's Notes

  1. JN: I’d make the arrow not absolutely vertical tilt steeply to the right
  2. the Rubicon Project created pioneering technology that created a new model for the advertising industry – similar to what NASDAQ did for stock trading. Rubicon Project’s uses MapR for their automated advertising platform that processes over 90B ad auctions a day and provides the most extensive ad reach in the industry touching 96% of internet users in the US. They use MapR because of the superior system reliability, and performance and ability to run in their “lights out datacenters”.
  3. the Rubicon Project created pioneering technology that created a new model for the advertising industry – similar to what NASDAQ did for stock trading. Rubicon Project’s uses MapR for their automated advertising platform that processes over 90B ad auctions a day and provides the most extensive ad reach in the industry touching 96% of internet users in the US. They use MapR because of the superior system reliability, and performance and ability to run in their “lights out datacenters”.
  4. the Rubicon Project created pioneering technology that created a new model for the advertising industry – similar to what NASDAQ did for stock trading. Rubicon Project’s uses MapR for their automated advertising platform that processes over 90B ad auctions a day and provides the most extensive ad reach in the industry touching 96% of internet users in the US. They use MapR because of the superior system reliability, and performance and ability to run in their “lights out datacenters”.
  5. JN: Changed text right of arrow Visuals 101010 in vault box with 1 app icon on top… on right free flowing 101010 with multple application icons on top
  6. Deploy multiple active (read/write) clusters across globally distributed user base Place live data closer to end users Maintain global consistency via asynchronous replication Minimize data loss (upon data center failure) with transaction-level updates
  7. JN: Changed text right of arrow Visuals 101010 in vault box with 1 app icon on top… on right free flowing 101010 with multple application icons on top AA: According to last conversation this slide might not be needed
  8. Data Agility with No IT Intervention
  9. Just Thought You Might Want To Know….