Date: 16th November 2017 Location: Data-Driven LDN Theatre Time: 11:50 - 12:20 Speaker: Jim Scott Organisation: MapR

1. © 2017 MapR TechnologiesMapR Confidential 1
How to Leverage the Cloud for
Business Solutions
Jim Scott
@kingmesal

2. © 2017 MapR TechnologiesMapR Confidential 2
Data is at the Core of Business Transformation
1980s Now
Early
databases
Enterprise
applications
The Internet Digital
Transformation

3. © 2017 MapR TechnologiesMapR Confidential 3
Data Drives Market Disruption

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Market Disruptors Use Data
To Impact Business Outcomes in Real-Time
Real-time
operational impact
Higher customer
engagement and
lower acquisition cost
Eliminate cost,
waste, time delay
Continuous insight
analysis and application

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Industry Leaders Are Investing in Disruptive Technology Now
Legacy technology investmentNext-Gen technology investment
(80,000)
(40,000)
-
40,000
80,000
120,000
2013 2014 2015 2016 2017 2018 2019 2020
$ (millions) Investment in Next-Gen vs. Legacy Technologies for Data
Total $ growth of IT market
Innovating and reducing costs at the same time 90% of data is on
next-gen technology
in just four years
Source: IDC, Gartner; Analysis & Estimates: MapR
Next-gen consists of cloud, big data, software and hardware related expenses

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MapR
Pressure to deal with
Volume, variety,
velocity of new data
Customers
Pressure to
deliver
more to
customer
base
Pressure to figure
out the cloud
and containers
On
prem
AzureAWS
Your
partner’s
systems
Your
legacy
Business
systems
Pressure to
reduce cost of
legacy

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Time to pause for
a moment...

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Cloud and Container Terminology
• Data Gravity
– Data ingress and egress
• Cloud Neutrality
– Freedom of choice
– Prevent vendor lock-in
• Container Image and Repository
Other terms that I can explain ???

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Anything Can Fail!
Prepare for the worst, hope for the best…

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Customer 360
Website
User
Profiles
Click
Stream
Activity
Stream
Website
User
Profiles
Click
Stream
Activity
Stream
Amazon Google Cloud
On-Prem
User
Profiles
Click
Stream
Activity
Stream
Salesforce

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Hadoop &
Spark
Cluster
Document
DB
Classic Data
Warehouse
NoSQL
Application
Server
Message
Middleware
Search
ServerIts not the circles,
It’s the lines that are hard
Expensive to Stitch | Fragile | Limitations for Speed, Scale, Reliability
Cloud Processing Alone Does not Solve the Crisis of Complexity

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Putting It In One Distribution Does Not Converge
Anything!

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Global Cloud Processing Requirements
Global single namespace
Omni-directional replication
Location awareness
Strong consistency by default
Continuous, Coordinated, Data flows

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Source: 2016 Docker Survey
Clouds And Containers

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Challenge with Containers
• Organizations using containers to improve resource utilization,
increase developer efficiency, deploy microservices
• Most of containerized applications today are stateless
– If destroyed and re-deployed, no data is lost and no services are
disrupted (ex: simple web front-ends)
– Sharing state across many nodes is difficult and/or cost-prohibitive
• Container environments don’t provide the reliable storage
needed to support stateful applications

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MapR Data Services for Containers
• Pre-built, certified container image
for connecting to MapR services
• Secure authentication at
container level, secure connection
• High performance
• Extensible support for application
layers
• Available in Docker Hub, Dockerfile
for customizability
MapR Persistent Application Client Container
(PACC)
MapR POSIX Client
for Containers
MapR Converged
Client for
Containers
Space for Customer Application

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Container Summary
• Huge Opportunity – Organizations are
rapidly moving to containerize
• Huge Gap for stateful application
support
• MapR provides a high value, highly
differentiated solution
• Our tactical solution is part of a much
larger strategic initiative

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Converged Data Platform
Analytical
Applications
Operational
Applications
Converged Applications
Complete Access to Real-time and
Historical Data in One Platform
Developers
Creating Database
and Event Based
Applications
(Bottom Line
Initiatives)
(Top Line Initiatives)
Analysts
Creating BI Reports
and KPIs on Data
Warehouse
Historical Data Current Data

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Web-Scale Storage
MapR-XD MapR-DB
Real Time Unified Security Multi-tenancy Disaster Recovery Global NamespaceHigh Availability
MapR Streams
Event StreamingDatabase
MapR Platform Services: Open API Architecture
Assures interoperability, avoids lock-in
HDFS
API
POSIX
NFS
SQL,
HBase
API
JSON
API
Kafka
API

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Converged Application Benefits
• Consumers scale horizontally with partitions
• 1:1 mapping between consumer and partition
• Enables predictable scaling as production needs grow
• Data can be seamlessly replicated to another cluster
• Enables HA with zero code changes
• Data is indexed dynamically according to receivers, senders
• Scales beyond the capabilities of Kafka
• Snapshots can be taken to capture state
• Enables faster testing and deployment of applications

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Reduce costs
to improve
efficiency
Extend
capabilities
to grow revenues
Innovate
for disruptive
advantage
Put the Power of MapR to Work for Your Business
Wherever you are on your big data journey

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Converge, Transform and Grow with MapR
Innovate
for Growth
Realize
Cost Savings

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New: Microservices and Containers
Mastering the Cloud, Data, and Digital Transformation
MapR book by Jim Scott © September 2017
Get a free pdf copy of the book courtesy of MapR, or read it in
interactive html form:
https://mapr.com/ebook/microservices-and-containers/

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Q&A
ENGAGE WITH US
jscott@mapr.com