Global data management is not a newly coined term. However, what it stands for is actually widening in scope particularly around data-in-motion and data-at-rest. Significant technology trends such as IoT, cloud, AI/ML, blockchain, and streaming data have given rise to excessive data volumes and also innovative use cases. The scope for global data management now extends all the way from ingestion, processing, storage, governance, security to analysis. With a good number of endpoints served through the cloud and major application footprints remaining on-premisess, it is pertinent to have a global data management strategy that supports hybrid models and more specifically, a multi-cloud model. Many modern businesses struggle to balance the demands of rapidly innovating through new technologies like machine learning with the need to keep data safe and secure, all while responding to a constantly changing regulatory landscape. This puts data stewards, data engineers, architects, data scientists, and analysts under intense pressure as they must contend with existing and new applications, multiple logical and physical data stores and sources, diverse data types, and data spread across several deployment environments. Attend this session led by Matt Aslett, Research Director at 451 Research and Dinesh Chandrasekhar, Director, Hortonworks to learn more about creating a framework for your enterprise that offers guidance on how to think about global data management—priorities, responsibilities, key stakeholders, compliance, and growth. Speakers Dinesh Chandrasekhar, Hortonworks, Director Product Marketing Matt Aslett, 451 Research, Research Director, Data platforms and Analytics

1. Copyright (C) 2018 451 Research LLC
Global Data Management
A practical framework for rethinking enterprise,
operational, and analytical data
Matt Aslett, Research Director, Data Platforms & Analytics
Dinesh Chandrasekhar, Director, Product Marketing

2. 2 © Hortonworks Inc. 2011–2018. All rights reserved
The New Way of Business Is Fueled By Connected Data
• Connected Customers,
Vehicles, Devices
• Socially crowd-sourced
requirements
• Digital design and
analysis
• Digital prototypes and
tests (simulations)
• Connected Factories,
Sensors, Devices
• Human-robotic
interaction
• 3D-printing on
demand
• Connected Trucks,
Inventory
• Location, traffic,
weather-aware
distribution
• Real-time inventory
visibility
• Dynamic rerouting
• Connected Customers,
Devices
• Omni- channel
demand sensing
• Real-Time
Recommendations
• Connected Assets
• Remote service
monitoring & delivery
• Predictive
maintenance
• OTA Updates
DEVELOPMENT MANUFACTURING DISTRIBUTION MARKETING/SALES SERVICE

3. 3 © Hortonworks Inc. 2011–2018. All rights reserved
Digital businesses today
Search
Recommendations
Reviews
Summon my service
Frictionless commerce
Instant feedback
Immersive
Ambient
Physical meets digital

4. 4 © Hortonworks Inc. 2011–2018. All rights reserved
Today’s Digital Enterprises
RFID TRACKERS AND
NANO-DEVICES
to give you visibility into
movement of your goods
MOBILE NOTIFICATIONS
to inform you of shipment
delay from a supplier
BLOCKCHAINS
to give complete trust and
provenance in your supply
chain
VIRTUAL ASSISTANTS
to enhance your customer
experience
AI-POWERED CHATBOTS
to improve your customer
support functions
ELECTRONIC B2B
EXCHANGES
to streamline order processing
with partners

5. 5 © Hortonworks Inc. 2011–2018. All rights reserved
So, What Is Stopping You from Digital Transformation?
Cannot get a
360 VIEW of
your customer? DROWNING in
data lakes?
TOO MUCH DATA
coming in from
TOO MANY
SOURCES and
devices?
New business
initiatives leading
to EXCESSIVE IT
COSTS?`
MOST IMPORTANTLY…
Don’t have the right data at the right time to make the right decision?

6. 6
© Hortonworks, Inc. 2011-2018. All rights reserved.
Modern Data Architecture
DATA CENTER
Machine
Learning/
Artificial
Intelligence
Telemetry –
Connected
Devices
Time Series
Databases
Stream Analytics
Deep Historical
Analysis
Exception
Monitoring
Legacy/
Operational
Data
Sensors,
Control
Systems
Cyber
Security
Edge
Analytics
Social Mobile
IoT
IoT
CLOUD
Geo Location

7. 7
© Hortonworks, Inc. 2011-2018. All rights reserved.
G L O B A L D ATA M A N A G E M E N T
DATA
SOURCES
DATA CENTER CLOUD EDGE
Exception
Monitoring
360 View of
Operations
Cyber
Security
Telemetry –
Connected
Devices
Time Series
Sensors,
Control
Systems
Telemetry –
Connected
Devices
Sensors,
Control
Systems
Time Series
Exception
Monitoring
Cyber
Security
Legacy/
Operational
Data
Global Data Management Enables Modern Data Architecture

8. 8
© Hortonworks, Inc. 2011-2018. All rights reserved.
Data Management Challenges
• Dealing with multi-clouds
• Avoiding cloud/ vendor lock-in
• Future proofing your architecture
• Common view of security, governance
• Manage all data, regardless of type or location
• Maximize data re-use for multiple workloads
DATA
SOURCES
DATA CENTER CLOUD EDGE
Exception
Monitoring
360 View of
Operations
Cyber
Security
Telemetry –
Connected
Devices
Time Series
Sensors,
Control
Systems

9. 9
© Hortonworks, Inc. 2011-2018. All rights reserved.
Global Data Management Platform
DATA
SOURCES
DATA CENTER CLOUD EDGE
Exception
Monitoring
360 View of
Operations
Cyber
Security
Telemetry –
Connected
Devices
Time Series
Sensors,
Control
Systems
DATA-IN-MOTION DATA-AT-REST
MANAGE, SECURE, GOVERN, CONSUME

10. 10
© Hortonworks, Inc. 2011-2018. All rights reserved.
Global Data Management - Powering Innovation
MODERN DATA USE CASES
EDW
OPTIMIZATION
CYBERSECURITY DATA SCIENCE
ADVANCED
ANALYTICS
IOT/ STREAMING
ANALYTICS
DATA
SOURCES
DATA CENTER CLOUD EDGE
Exception
Monitoring
360 View of
Operations
Cyber
Security
Telemetry –
Connected
Devices
Time Series
Sensors,
Control
Systems
DATA-IN-MOTION DATA-AT-REST
MANAGE, SECURE, GOVERN, CONSUME

11. 11 © Hortonworks Inc. 2011–2018. All rights reserved
Offload ETL processing
from EDW
Load cold archive data
in Hadoop
Enrich data with
machine/ sensor data
Run interactive
analytics on Hadoop
Centralized management
and security
Fine grained authentication
and access control
End to end data lineage
Detailed audit trails
Enterprise AI Platform, open
languages
Improve Data Science
Productivity
Improve Data Science
learning and collaboration
Organize Your Data
EDW Modernization
& Offload
Govern Your Data
Governed Data Lakes
Drive Intelligence
from Data
Data Science and AI
Global Data Management enables Digital Transformation

12. Copyright (C) 2018 451 Research LLC
Global Data Management
A practical framework for rethinking enterprise,
operational, and analytical data
Matt Aslett, Research Director, Data Platforms & Analytics

13. Copyright (C) 2018 451 Research LLC
451 Research is a leading IT research & advisory company
13
Founded in 2000
300+ employees, including over 120 analysts
2,000+ clients: Technology & Service providers, corporate
advisory, finance, professional services, and IT decision makers
70,000+ IT professionals, business users and consumers in our 451 Alliance
research community
Over 52 million data points published each quarter and 4,500+ reports
published each year
3,000+ technology & service providers under coverage
451 Research and its sister company, Uptime Institute, are the two divisions
of The 451 Group
Headquartered in New York City, with offices in London, Boston, San
Francisco, Washington DC, Mexico, Costa Rica, Brazil, Spain, UAE, Russia,
Taiwan, Singapore and Malaysia
Research & Data
Advisory
Events
Go 2 Market

14. Copyright (C) 2018 451 Research LLC
14
Copyright (C) 2018 451 Research LLC

15. Source: 451 Research, Voice of the Enterprise: Cloud, Hosting & Managed Services, Workloads and Key Projects 2018
Q1. Which of the following types of cloud or hosted services, if any, does your organization currently use? Please select all that apply.
15
68%
46%
37%
32%
31%
29%
7%
Software as a service (SaaS) and hosted applications
Infrastructure as a service (IaaS)/public cloud
On-premises private cloud
Hosted private cloud
Platform as a service (PaaS)
Hosted, non-cloud infrastructure
None
% of respondents (n = 707)
Types of cloud or hosted services currently in use
All respondents

16. Source: 451 Research, Voice of the Enterprise: Cloud, Hosting & Managed Services, Workloads and Key Projects 2018
Q4. Which of the following IaaS features is your organization using in connection with your IaaS/public cloud deployment? Please select all
that apply.
16
45%
42%
41%
37%
33%
30%
25%
23%
22%
21%
16%
14%
5%
8%
Relational database
Data/business analytics
Containers
Auto-scaling
Data warehouse
Serverless compute/function as a service
NoSQL database
Real-time/streaming data processing
Machine learning
Mobile services
IoT platform
Large-scale/batch data transfer
Other
None
% of respondents (n = 322)
Public cloud features currently in use
IaaS/public cloud users

17. Source: 451 Research, Voice of the Enterprise: Digital Pulse, Workloads and Key Projects 2018
Q15. You indicated that the majority of your organization’s workloads/applications will be deployed in off-premises cloud/hosted IT
environments two years from now. What are the drivers behind this? Please select up to 3.
17
38%
37%
35%
32%
30%
27%
27%
19%
16%
1%
Reduce IT costs
Enhance IT systems agility
Improved access to new technology resources/capabilities/features
Modernize IT infrastructure
Deploy new applications/features faster
Enhance application performance and resiliency
Move from capital-intensive IT to an operating expense model
Improve security
Overcome lack of in-house IT staff/expertise
Other
% of respondents (n=448)
Drivers of Deploying Workloads/Applications in
Off-Premises Environments
Base: Respondents Plan To Deploy Majority Workloads/Applications in Off-Premises IT Environments

18. Migration patterns
18
Copyright (C) 2018 451 Research LLC

19. Migration patterns
44%
18%
14%
12%
11%
% of respondents (n=1049)
Source: 451 Research, Voice of the Enterprise: Digital Pulse, Workloads and Key Projects 2018
Q7. Which of the following best describes your organization’s overall IT infrastructure approach to mission-critical legacy applications and
workloads going forward?
19
Modernize
Retain existing applications on-
premises but move to more modern
application and infrastructure
architectures.
Refactor and shift
Re-architect or redesign existing
applications using cloud-native
frameworks and deploy in off-premises
cloud environments.
Retain
Keep current applications unchanged
on existing on-premises infrastructure.
Repurchase and shift
Replace current on-premises
applications with SaaS or off-premises
hosted versions of the applications.
Lift and shift
Migrate applications to off-
premises/cloud with minimal changes to
the application code or business logic.

20. Copyright (C) 2018 451 Research LLC
Multiple Execution Venues
20

21. Copyright (C) 2018 451 Research LLC
A bridge to the cloud
21
Copyright (C) 2018 451 Research LLC

22. Source: 451 Research, Voice of the Enterprise: Cloud, Hosting & Managed Services, Workloads and Key Projects 2018
Q3. Which of the following vendors is your organization currently using for IaaS/public cloud? Please select all that apply.
22
71%
69%
23%
10%
8%
7%
3%
3%
3%
3%
3%
10%
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Oracle Cloud
IBM Cloud
Rackspace
CenturyLink Cloud
Digital Ocean
Alibaba Cloud
NTT
OVH (VMware vCloud Air)
Other
% of respondents (n = 319)
IaaS/public cloud vendors currently in use
IaaS/public cloud users
• Azure access also comes bundled with a Microsoft EA license
• 59% of organizations using public cloud use more than one provider
• 64% of Azure users also use AWS, 18% use Google Cloud
• 62% of AWS users also use Azure, 22% use Google Cloud
• 82% of Google Cloud users also use AWS, 65% use Azure

23. Copyright (C) 2018 451 Research LLC
It’s a multi-cloud world (increasingly deliberately)
23
Which Flavor of Multi-Cloud?
+
Q. Has your organization configured any of the following cloud deployments for interoperability for the seamless delivery of a business function?
Source: 451 Research, Voice of the Enterprise: Cloud Transformation, Vendor Evaluations, 2016

24. Copyright (C) 2018 451 Research LLC
It’s a multi-cloud world (increasingly deliberately)
24
Which Flavor of Multi-Cloud?
Q. Has your organization configured any of the following cloud deployments for interoperability for the seamless delivery of a business function?
Source: 451 Research, Voice of the Enterprise: Cloud Transformation, Vendor Evaluations, 2016
+

25. Source: 451 Research, Voice of the Enterprise: Cloud, Hosting & Managed Services, Workloads and Key Projects 2018
Q20. Is your organization currently using multiple infrastructure environments in the operation of (Workload)?
25
47%
6%
18%
29%
Yes
No, but we plan to
No, but we are considering it
No, and we don’t plan to
% of respondents (n = 621)
Multiple infrastructure environments in the operation of a
specific workload
Respondents identifying workloads as currently in place

26. Source: 451 Research, Voice of the Enterprise: Cloud, Hosting & Managed Services, Workloads and Key Projects 2018
Q21. Which, if any, of the following best describe your organization’s reasons for using multiple infrastructure environments to operate
(Workload)? Please select all that apply.
26
47%
40%
33%
33%
33%
32%
26%
6%
1%
Improving performance/availability
Optimizing for cost
Isolating sensitive business data
Migrating between infrastructure environments
Meeting regulatory or data sovereignty requirements
Adding new functions to existing deployments
Adding geographic diversity/reducing latency
Other
None of the above
% of respondents (n = 419)
Reasons for multiple infrastructure environments in the
operation of workload
Multiple infrastructure environment user/potential user

27. Copyright (C) 2018 451 Research LLC
The trouble with data processing in a globally distributed,
multi-location environment
27
EDW
In theory: one data warehouse,
at the heart of the enterprise
ENTERPRISE

28. Copyright (C) 2018 451 Research LLC
The trouble with data processing in a globally distributed,
multi-location environment
28
EDW
In practice: data marts/
departmental data warehouses/
data lakes
ENTERPRISE

29. Copyright (C) 2018 451 Research LLC
The trouble with data processing in a globally distributed,
multi-location environment
29
In theory: cloud
EDW
ENTERPRISE

30. Copyright (C) 2018 451 Research LLC
The trouble with data processing in a globally distributed,
multi-location environment
30
In practice: multiple clouds,
multiple database services
EDW
ENTERPRISE

31. Copyright (C) 2018 451 Research LLC
The trouble with data processing in a globally distributed,
multi-location environment
31
Data processing at the edge
EDW
ENTERPRISE

32. Copyright (C) 2018 451 Research LLC
Standardization – uniformity across multiple clouds
32
EDW
ENTERPRISE

33. Copyright (C) 2018 451 Research LLC
Catalog – index and discovery
33
Data Catalog
EDW
ENTERPRISE

34. Copyright (C) 2018 451 Research LLC
Schrodinger’s data
(credit Chris Hallenbeck, SAP SVP
database and data management)
How do you know the data is
identifiable/to be forgotten without
looking at it?
Identification of PII data
34Source: Jie Qi on Flickr https://www.flickr.com/photos/jieq/2371783536

35. Copyright (C) 2018 451 Research LLC
Amid the potential complexity – the data fabric
35
EDW
The structure of
anything; the manner in
which the parts of a
thing are united
• A material made of
fibers, a textile or
cloth.
More intangible -
The framework
underlying a structure
• The fabric of space
and time
• The fabric of society

36. Copyright (C) 2018 451 Research LLC
Data fabric – interconnective tissue
36
A consistent user
experience across
multiple environments
(both on-premises and
cloud)
The ability to
(increasingly
automatically) identify
data in multiple
environments (both
on-premises and cloud)
The ability to manage
data in multiple
environments (both
on-premises and cloud)
– data lifecycle, data
governance, data
security
The ability to manage
data across multiple
environments as if it
was a single globally
distributed architecture
(work in progress)

37. Copyright (C) 2018 451 Research LLC
Building blocks for global data management
37
EDW
Data Catalog

38. 38 © Hortonworks Inc. 2011 – 2018. All Rights Reserved
Capture
streaming data
Deliver
perishable insights
Combine
new & old data
Store
data forever
Access
a multi-tenant data lake
Model
with machine learning
DATA AT RESTDATA IN MOTION
ACTIONABLE
INTELLIGENCE
Perishable Insights Historical Insights
A Connected Data Strategy Solves for All Data
GLOBAL
DATA
MANAGEMENT
Manage, Secure, Govern
MULTIPLE CLUSTERS AND SOURCES
MULTIHYBRID

39. Copyright (C) 2018 451 Research LLC
Thank You!
matthew.aslett@451research.com
@maslett
www.451research.com
dchandrasekhar@hortonworks.com
@AppInt4All
www.hortonworks.com