Converging your data landscape
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Transcript of Converging your data landscape
© 2017 MapR Technologies 1
+
John Myers, Managing Research Director, EMA
Jack Norris, SVP Data and Applications, MapR
Converging your Data Landscape:
How Data-driven Approaches are
Changing Data Management
© 2017 MapR Technologies 2
Featured Speakers
Jack Norris, SVP Data and Applications, MapR
Jack drives understanding and adoption of new applications enabled by data
convergence. With over 25 years of enterprise software marketing experience, he
has demonstrated success from defining new markets for small companies to
launching and establishing analytic, virtualization, and storage products, to
increasing sales of new products for large public companies.
John Myers, Managing Research Director, EMA
John has nearly 20 years of experience in areas related to business analytics and
business intelligence in professional services, sales consulting, product
management, industry analysis, and research. He helped organizations to solve
their analytics problems whether they related to operational platforms like
customer care, billing, or applied analytical applications, such as revenue
assurance or fraud management. John established thought leadership in
emerging data management paradigms such as big data (combination of multi-
structured and relational data sets) applications and NoSQL access data stores.
© 2017 MapR Technologies 3
Logistics for Today’s Webinar
An archived version of the event recording will be
emailed to you following the event
• Log questions in the chat panel located on the lower
left-hand corner of your screen
• Questions will be addressed during the Q&A session
of the event
QUESTIONS
EVENT RECORDING
A link to the slides in slideshare will be emailed to you
following the event
SLIDES
© 2017 MapR Technologies 4
• Data-driven cultures are disrupting the business landscape
• Drivers of change to the data management landscape
• Best practices
• Customer example in action
• Question and Answer
Agenda
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Data-Driven Cultures and Strategies
Slide 6 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Data-driven Application Usage Scenarios
Slide 7 © 2017 Enterprise Management Associates, Inc.
• Multiple usage scenarios
require multiple workloads and
multiple datasets
• Exploratory
• Operational
• Analytics
• Operational Analytics
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Pace of Industry Disruption…
Slide 8 © 2017 Enterprise Management Associates, Inc.
© 2017 MapR Technologies 9
American Express Leveraging Machine Learning
• Big Data Platform Protects over $1T in spending each year
• Redefining Fraud Approach for the next decade
• Over 120 Separate Applications running on a single cluster
104 Million Card Members
© 2017 MapR Technologies 10
Real-time Integrated Pub/Sub Streams to capture• Stocking changes
• Orders
• Cancellations from various systems
• Process events in real-time for latest stock availability
Critical consistent SLAs for stock availability checks • < 50 ms at any Large Scale
Schema-flexibility with Native JSON document data model
Rich queries via secondary indexes to search products on any dimension
Global Multi-Master replication for serving users across the world
System of record reliability
NO downtime
Lower TCO: Migrate from expensive RDBMS (DB2)
Transforming the Online Digital Shopping Experience
Modernize online digital shopping experiences for customers through robust acquisition, processing and
serving data to customers in real-time while reducing costs
LARGE EUROPEAN
RETAILER
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Disjointed Components
Slide 12 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Drivers for Implementation
Slide 13 © 2017 Enterprise Management Associates, Inc.
© 2017 MapR Technologies 14
Data Growth Puts Premium On Efficient Leverage
Source: McKinsey Global Institute: “The Age of Analytics”, Dec. 2016
THE AMOUNT OF DATA
IS PREDICTED TO
DOUBLE EVERY
THREE YEARS
DATA DIVERSITY
EmailsCall Detail
Records
Click
stream
CSV DocumentsData
PDFBilling Data Meta
Data
JSON Network
Data
Mobile
Data
XMLProduct
Catalog
Medical
RecordsText Files VideoText
Messages
Merchant
Listings
Sensor
Data
Server
Logs
Set Top
Box
Social
Media
Audio
4 Zettabytes
of Data
20111986
300 Exabytes
of Data
3 Exabytes
of Data
20192016
2 Zettabytes
of Data
© 2017 MapR Technologies 15
90+% of Machine Learning
Success is Data Logistics,
Not Learning
Ted Dunning & Ellen Friedman
Model Management in the Real World
Machine Learning Logistics
https://mapr.com/ebook/machine-learning-logistics
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Focus on the End Goals…Not the Implementation
Details…
Slide 17 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Drivers for Data-driven Applications
Slide 18 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Access to Data Needs to be Proactive and Centralized
Slide 19 © 2017 Enterprise Management Associates, Inc.
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
EMA’s Hybrid Data Ecosystem:
Logical Framework for Next Generation Data
Slide 20 © 2017 Enterprise Management Associates, Inc.
• Integrated logical architecture
• Dependent on access to and
the sharing of technical and
business metadata across
platforms
• Understands that business
stakeholders are the ones
driving data adoption
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Variety
VolumeVelocity
Vicinity
Location Awareness
Visibility
Global Namespace
Veracity
Consistency and Integrity
Requirements for a Data Fabric
© 2017 MapR Technologies 24
High Frequency
Decisioning Use Cases
• Advanced Driver
Assistance Systems
(ADAS)
• Computer Aided Driving
• Vehicle Healthcare
• Fleet Management
By 2020, more than 250 million
vehicles will be connected globally—Gartner
Connected Car
© 2017 MapR Technologies 25
Source
1
Source
2
Source
1000
Time to insight (24 hrs)
Manual, Scripts,
Req High Bandwidth Network
Source
1
Source
2
Source
1000
Time to insight (< min)
Automated Process1000s Test Cars
running in various
Conditions 24/7
Can do Pre Processing locally + at Core
(Custom App + Test Feedback Loop)
Car Test Analysis App
Before Edge After Edge
All Analysis only
done at Core
1-5TB/Day
Connected Car
© 2017 MapR Technologies 27
JSON DB
(MapR-DB)
Graph DB
(Titan on
MapR-DB)
Search Engine
(Elastic-Search)
Transforming the Health Care Ecosystem
Electronic Medical Records
“The Stream is the
System of Record”–
IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Where to go From Here?
• Keep up or… get
left behind
• Moving at the
speed of
business
• Coordinated
environment
© 2017 MapR Technologies 30
ENGAGE WITH US
Contact us at:
855-NOW-MAPR
Or
https://twitter.com/mapr
https://www.linkedin.com/company/mapr-
technologies
Follow us at:
© 2017 MapR Technologies 31
Additional Resources
O'Reilly Book: "Machine Learning Logistics: Model Management in the Real World"
Get more information on the HDE and Data-driven applications at:
http://research.enterprisemanagement.com/hybridDataEcosystem.html