Enabling big data applications for both operational and analytical use cases is the cornerstone for data-centric businesses. Learn how companies are relying on their big data architecture to empower their “as-it-happens” business, using MapR innovations for Hadoop for real-time access to data. Rob will discuss customer case studies with delivered business value. Enabling big data applications for both operational and analytical use cases is the cornerstone for data-centric businesses. Learn how companies are relying on their big data architecture to empower their “as-it-happens” business, using MapR innovations for Hadoop for real-time access to data. Rob will discuss customer case studies with delivered business value.

1. ®
®
© 2015 MapR Technologies
Rob Anderson
VP Systems Engineering, MapR Technologies
Big Data Expo, Utrecht, the Netherlands, 1 October 2015

2. ®
Fastest Adoption of New Enterprise Technology
Hadoop trials,
science projects
in a corner
Large
mission-critical,
operational
deployments

3. ®
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

4. ®
Lesson #1
It’s about “As-It-Happens”
Because real-time data-to-action cycle
makes the difference

5. ®
Internet of Things, the 3rd Wave
The Internet of Things (loT) is emerging as the third wave in the development of the Internet.
Personal lives, workplace productivity and consumption will all change. Plus there will be a string
of new businesses from those that will expand the internet “pipes”, to those that will analyze the
reams of data. To those that will make new things we haven’t even thought of yet.
1 Billion Fixed Internet in the 90’s
6 Billion
50 Billion
Mobile Internet in the 2000’s
“Things” connected to the Internet by 2020

6. ®
Samsung is a leading player in IoT
with strong mobility presence and
new chip technology for internet
connected devices.

7. ®
• Collection of heat, vibrations, resistance,
electrical properties, thickness, etc.
• Big Data analytics to prevent equipment
downtime, and quality issues
• Greater wafer yield by performance
improvement results in $10M+ savings
• .
Yield Management Optimization
Global
Semi-conductor
Company

8. ®
Entertaining Millions

9. ®
Advertising
Automation
Cloud
Buyers
Cloud
Leading the Automation of Advertising
Sellers
Cloud

10. ®
More Use Cases
®

11. ®
The Leading Edge Companies Are Asking…..
Is there an overall architectural
approach?
How do we re-platform the enterprise?

12. ®
Apps dictated
the data format
Data freely supports
varied compute engines
Data Silos Can’t have silos
ETL Ingest & Go

13. ®
Lesson #2
Real-time Requires
Big AND Fast
(in one cluster)

14. ®
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)

15. ®
MapR-DB Multi-Master Replication
Asynchronous,
bi-directional
replication

16. ®
Recently Added MapR-DB Capabilities
Table Replication
Real-Time Data Transport Framework
and Elasticsearch integration

17. ®
Lesson #3
Data Agility is a Must
Managing it
Processing it
Exploring it
Using it

18. ®
Fixed data
format
Data formats evolve
constantly

19. ®
Self-Service Data Exploration
Data Agility with Less IT Required
Single SQL Interface for Structured
and Semi-Structured Data

20. ®
What is OJAI?
Open JSON Application Interface (OJAI)
Databases Streams
MapR-DB-JSON
MapR-Client
{JSON}
File Systems

21. ®
Easy Variation with Documents
{
"_id" : "rp-prod132546",
"name" : "Marvel T2 Athena”,
"brand" : "Pinarello",
"category" : "bike",
"type" : "Road Bike”,
"price" : 2949.99,
"size" : "55cm",
"wheel_size" : "700c",
"frameset" : {
"frame" : "Carbon Toryaca",
"fork" : "Onda 2V C"
},
"groupset" : {
"chainset" : "Camp. Athena 50/34",
"brake" : "Camp."
},
"wheelset" : {
"wheels" : "Camp. Zonda",
"tyres" : "Vittoria Pro"
}
}
{
"_id" : "rp-prod106702",
"name" : " Ultegra SPD-SL 6800”,
"brand" : "Shimano",
"category" : "pedals",
"type" : "Components,
"price" : 112.99,
"features" : [
"Low profile design increases ...",
"Supplied with floating SH11 cleats",
"Weight: 260g (pair)"
]
}
{
"_id" : "rp-prod113104",
"name" : "Bianchi Pride Jersey SS15”,
"brand" : "Nalini",
"category" : "Jersey",
"type" : "Clothing,
"price" : 76.99,
"features" : [
"100% Polyester",
"3/4 hidden zip",
"3 rear pocket"
],
"color" : "black"
}
jersey
pedal
bike

22. ®
Product Catalog - RDBMS SELECT * FROM (
SELECT
ce.sku,
ea.attribute_id,
ea.attribute_code,
CASE ea.backend_type
WHEN 'varchar' THEN ce_varchar.value
WHEN 'int' THEN ce_int.value
WHEN 'text' THEN ce_text.value
WHEN 'decimal' THEN ce_decimal.value
WHEN 'datetime' THEN ce_datetime.value
ELSE ea.backend_type
END AS value,
ea.is_required AS required
FROM catalog_product_entity AS ce
LEFT JOIN eav_attribute AS ea
ON ce.entity_type_id = ea.entity_type_id
LEFT JOIN catalog_product_entity_varchar AS ce_varchar
ON ce.entity_id = ce_varchar.entity_id
AND ea.attribute_id = ce_varchar.attribute_id
AND ea.backend_type = 'varchar'
LEFT JOIN catalog_product_entity_text AS ce_text
ON ce.entity_id = ce_text.entity_id
AND ea.attribute_id = ce_text.attribute_id
AND ea.backend_type = 'text'
LEFT JOIN catalog_product_entity_decimal AS ce_decimal
ON ce.entity_id = ce_decimal.entity_id
AND ea.attribute_id = ce_decimal.attribute_id
AND ea.backend_type = 'decimal'
LEFT JOIN catalog_product_entity_datetime AS ce_datetime
ON ce.entity_id = ce_datetime.entity_id
AND ea.attribute_id = ce_datetime.attribute_id
AND ea.backend_type = 'datetime'
WHERE ce.sku = ‘rp-prod132546’
) AS tab
WHERE tab.value != ’’;
“Entity Value Attribute” Pattern To get a single product

23. ®
Product Catalog - NoSQL/Document
Store the product “as a business object” To get a single product
{
"_id" : "rp-prod132546",
"name" : "Marvel T2 Athena”,
"brand" : "Pinarello",
"category" : "bike",
"type" : "Road Bike”,
"price" : 2949.99,
"size" : "55cm",
"wheel_size" : "700c",
"frameset" : {
"frame" : "Carbon Toryaca",
"fork" : "Onda 2V C"
},
"groupset" : {
"chainset" : "Camp. Athena 50/34",
"brake" : "Camp."
},
"wheelset" : {
"wheels" : "Camp. Zonda",
"tyres" : "Vittoria Pro"
}
}
products
.findById(“rp-prod132546”)

24. ®
• Requirement: “users can vote and comment product”
Add Features Easily – Faster Time-to-Market
{
"_id" : "rp-prod113104",
"name" : "Bianchi Pride Jersey SS15”,
"brand" : "Nalini",
"category" : "Jersey",
"type" : "Clothing,
"price" : 76.99,
"features" : [
"100% Polyester",
"3/4 hidden zip",
"3 rear pocket"
],
"color" : “black”,
Done: just store the data!
{
"_id" : "rp-prod113104",
"name" : "Bianchi Pride Jersey SS15”,
"brand" : "Nalini",
"category" : "Jersey",
"type" : "Clothing,
"price" : 76.99,
"features" : [
"100% Polyester",
"3/4 hidden zip",
"3 rear pocket"
],
"color" : “black”,
"comments" : [{…}, {…}],
"ratings" : [{…, “value" : 5}, {…, value : 3}],
“rating” : 4
}

25. ®
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

26. ®
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

27. ®
Top-Ranked NoSQL
Top-Ranked Hadoop
Distribution
Top-Ranked SQL-on Hadoop
Solution

28. ®
Free
Hadoop On-Demand Training
$50M In-Kind Contribution to the Hadoop Community

29. ® 29
Please come visit us
at MapR Booth #18!