IBM Cloud
Hybrid Data ManagementGain value from your data without limits
Chris ReuterNorth America Data Warehouse SalesIBM Analytics
March 2018
IBM Cloud
1Themes of data
2Data Management Strategy
IBM’s Vision
4Recap – where have we been?
Agenda
3
IBM Cloud
1Themes of data
2Data Management Strategy
IBM’s Vision
4Recap – where have we been?
Agenda
3
IBM Cloud
Data will see a 30% CAGR through 2025
IDC in Seagate: The Data Age
Information courtesy of IDC. Seagate: The Data Age. Available here.
IBM Cloud
Theme #1: Data is growing, and growing fast
5
Real-time data and cognitive/artificial intelligence systems will change the landscape
2025 Projections30% CAGR through 2025
Average connected person will interact with 4,800 devices/day
163 ZB to be created in 2025 (4 ZB created in past 20 years)
A greater share of data will be critical
Information courtesy of IDC. Seagate: The Data Age. Available here.
Time
IBM Cloud
Investment growth in AI has grown 3x since 2013
McKinsey – Artificial Intelligence: The Next Digital Frontier?
Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?
IBM Cloud
Theme #2: Data Science and Machine Learning
7
How can my analytics deployments transition from the simple to the complex?
Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?
Demand for data scientists will rise by more than 28% between now and 2020 – IBM
Citizen data analyst has grown 5x that of traditional data scientists –Gartner
Investment in AI and Machine Learning has grown 3x from 2013 2016 –McKinsey
Only 12% of machine learning use cases have progressed past experimental – McKinsey
IBM Cloud
There is value in all approaches to cloud, whether the strategy is pure cloud or not, depending on the enterprise and end goals.
Gartner – Cloud Strategy Leadership
Gartner – Cloud Strategy Leadership
IBM Cloud
Theme #3: Deployment Uncertainty
9
Where is the right place to deploy my data?
The deployment spectrum
100% On-prem 100% Cloud
“I love the flexibility and scalability of cloud. Plus, it eliminates my need for redundant systems!”-Every client ever
5 MINUTES LATER“The transition to cloud is risky. I don’t want to rewrite my SQL, my ETL or my apps. I don’t wantto lose control of my own security measures.”
-Also every client ever
You’re going to be somewhere in here
A TYPICAL CONVERSATION
IBM Cloud
1Themes of data
2Data Management Strategy
IBM’s Vision
4Recap – where have we been?
Agenda
3
IBM Cloud
Why you need a data management strategy
15%
of organizationsfully leveragedata and analytics
— Forbes
0.5%
of all data isactually analyzed
— MIT Technologyreview
10%
increase in data accessibility will result in more than $65 M additional net income
— Baseline Magazine
80%
of all data is stored by corporations
— Baseline Magazine
50%
of large enterpriseswill have hybrid cloud deployments by the end of 2017
— IBM Institute forBusiness Value
11
Data is proliferating, it’s stored in different locations and formats.Businesses don’t do a good job of accessing all possible data!
IBM Cloud
Innovation
Create and own the data management strategy
Self-service
Remove restrictions and democratizeaccess to data
Flexibility
Ability to choose deployment and licensing models, workload types, technologies
Efficiency
Optimize data architecture and life cycle management to reduce cost, increase performance and protect existing investments
Enterprise-strong
Address data sprawl, workloads and open source technologies that can scale withthe business
Portability
The ability to move data and insights where needed, without the requirement to re-architect applications
12
What our customers are trying to solve
IBM Cloud13
The elements of a good hybrid data management strategy
Gain value
from your data
without limits
Access your dataAll sources and all types
FlexibilitySupport all data types, all workloads,all consumption models
Intelligent analyticsMake better decisions,provide smarter capabilities
Democratize accessProvide data-driven decisions to everyone
Analytics for all dataEasily query all of your data
Cloud journeySupport your data regardlessof location
IBM Cloud
1Themes of data
2Data Management Strategy
IBM’s Vision
4Recap – where have we been?
Agenda
3
IBM Cloud
…Hybrid
IBM’s strategy is…
15
NOT about Cloud OR On-premises…
NOT about Traditional Relational OR Open Source…
NOT about SQL OR NoSQL…
NOT about Structured OR Unstructured Data…
It’s about Cloud AND On-premises
It’s about Traditional Relational AND Open Source
It’s about SQL AND NoSQL
It’s about Structured AND Unstructured Data
IBM Cloud
The framework for success
16
• Application compatibility
Write once, run anywhere
• Operational compatibility
Reuse operational and
housekeeping procedures
• Standardized analytics
Common programming model
for in-DB analytics
• Ecosystem
One ISV product certification
for all platforms
• Licensing
Flexible entitlements for business
agility and cost-optimization
• Integration
Common Fluid Query capabilities for
query federation and data movement
Managed
public
Cloud DBaaS
Db2
on Cloud
Software
defined
warehouse
on-premises
or in cloud
Db2
warehouse
Custom
deployable
database
Db2
Open source
Hadoop with
Hortonworks
Big SQL
Dedicated
analytics
appliance
IBM Integrated
Analytics
System
IBM Hybrid Data Management solutions
Anchored by a Common SQL Engine enabling true, highly scalable
hybrid data warehousing solutions with portable analytics
IBM Cloud
Differentiated value
17
IBM
Hybrid Data
Management
Go at the speed
of your business
With faster analytics
through HTAP and
BLU Acceleration
More intelligent
analytics
With embedded
machine learning
and HTAP
Write once,
run anywhere,
from any source
With a Common SQL
Engine and federation
Deploy your data
where you need it
With options for
on-premises and cloud
IBM Cloud
Access data from any source Write your applications to pull data from IBM and our solutions can provide
transparent access to other data sources.
18
Your
applicationsIBM
Hybrid Data
Management
Other
data sources
IBM Cloud
More intelligent analyticsDrive more value from your data with the ability to run analytics
where the data lives using tools already preferred by
analytics professionals
19
Jupityr Notebooks
built-in
Integration with model
building tools
Spark built-in
Integration with BI and
visualization tools
Embedded
Machine
Learning
IBM Cloud
Public cloud
Deploy your data where you need it
• Enables a controlled journey to the cloud
• Offers flexibility in choosing the form factor
(combinations) that best suit the business needs
• Accelerates time to value:
− Start small and move fast
− Enable course corrections without penalties
• Bridge data stores for seamless data
integration or application movement
• Write once — run anywhere application paradigm
20
Private cloud On-premises
IBM Cloud
1Themes of data
2Data Management Strategy
IBM’s Vision
4Recap – where have we been?
Agenda
3
IBM Cloud
Get started today
Learn more:
Visit the IBM marketplace
page - Hybrid Data
Management
Learnmore
Trials and downloads:
Available on ibm.com
Get started using IBM
Cloud services
Tryit out
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expertise and roadmap to
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the most value from data
and achieve their goals
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