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Swen Conrad, CEO Ocean9
Cloud Expo, New York, June 2017
The “known unknown" of Big Data in IoT:
How big will your data grow and by when?
LOGISTICS
Self-driving vehicles
MANUFACTURING
Industry 4.0
A Strategic Imperative
IoT for Digital Transformation
BANKING & INSURANCE
Real time risk
You are darned if you do, you are darned if you don’t
Key consideration
• Data access
• Value of data over time
• Security
• Traceability to source
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 4
Collecting Relevant Data
• Temp/Flow/Vibration
• Data sheets
• Location
• Personnel
• Inventory/RFID
• POS data
• RFID
• Cust loyalty
• Beacon
marketing
• GPS
• Telemetry
• Video
• Temperature
• Maintenance
• Contents
icons8
Two Conflicting Paradigms in our Digital World
June 10, 2017 5
One More Problem
SLOW
BACKEND OPERATIONS
FAST PACED
DIGITAL BUSINESS
© Copyright, 2017, Ocean9, Inc., All Rights Reserved
Cloud for IoT and More
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 6
Key Architecture Considerations
• Data Lakes
• Taking your “Legacy” to the Cloud
• Heavy State Containers for Database agility
• Experimentation as the new Planning
A Cloud Architecture well suited for IoT use cases
"If you think of a datamart as a store of bottled water – cleansed and
packaged and structured for easy consumption – the data lake is a
large body of water in a more natural state.
The contents of the data lake stream in from a source to fill the lake,
and various users of the lake can come to examine, dive in, or take
samples."
Source
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 7
Data Lakes – A Definition
Strong Governance is the Key Ingredient
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 8
High Level Data Lake Architecture
Relational
Documents, Emails
Social
Machines and Devices
Lineage
Age
Privacy
Usage history
Metadata
Data
bucket
Data
bucket
Data
bucket
Data
bucket
Data
bucket
Data
bucket
Data
bucket
Analyze +
Transform
Analyze
Data
Warehouse
SAP HANA
Real Time
Analysis
Business Analyst
Data Scientist
Data Scientist
Time Series
Analysis
Business Analyst
Search Capabilities, Data Tiering and Ageing
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 9
Making Key Data easily Accessible
COLD HOT
Performance
Optimized
Cost
Optimized
In-Memory
SSD
Disk
--
SAN
Local
ArchiveDelete
Key requirements
• Managed trade-off between
access speed and storage cost
• Key business data with fast
access – In-Memory
• Consider usage over time,
delete data with short lifespan
Archive Object
Local
Disk
Local
SSD
SAN
Disk
SAN
SSD
Cents
per GB/
Month*
0.4 2.4
D2
instance
I2, X1, R3
instances
2.5 10
Object
Storage
*AWS
icons8
Cloud for IoT and More
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 10
Key Architecture Considerations
• Data Lakes
• Taking your “Legacy” to the Cloud
• Heavy State Containers for Database agility
• Experimentation is the new Planning
Born in the Cloud SAP-as-a-Service
June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 11
Taking your “Legacy” to the Cloud
Enterprise Class
• High performance
• High availability
• Strict security
PLUS
• Cloud native capabilities
• Database containers
Ocean9 Intelligent Platform
Database-as-a-Service Business Apps-as-a-Service
DEMO
June 10, 2017 12© Copyright, 2017, Ocean9, Inc., All Rights Reserved
Cloud for IoT and More
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 13
Key Architecture Considerations
• Data Lakes
• Taking your “Legacy” to the Cloud
• Heavy State Containers for Database agility
• Experimentation is the new Planning
BARE METAL
Trend or Fad?
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 14
Evolution of Enterprise IT
1.More Choices
2.Faster Delivery
3.Higher Density
4.Increased Control
VIRTUALIZATION
CLOUD
CONTAINERS
Further Enterprise Security with Fallback to Virtualized World
June 10, 2017 15
DB Containers – Production Ready
Frontends Applications Databases?
FRONTEND APPLICATION DATABASE
RISK
Blast Radius Single User Many Users All Users
Recovery Minutes Minutes Hours - Days
BENEFIT Cost Savings $ $$ $$$$$$
Business Value
June 10, 2017 16
Containers
Workload
Mobility
Higher
Average Resource
Utilization
Quick provisioning
and scaling –
for stateless
Cloud for IoT and More
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 17
Key Architecture Considerations
• Data Lakes
• Taking your “Legacy” to the Cloud
• Heavy State Containers for Database agility
• Experimentation is the new Planning
Enable Many Ideas and Projects for IoT Business Sucess
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 18
“Experimentation is the new planning”
Example: SAP HANA
Experimentation
for IoT Success
Enterprise IT
Reality
• Infrastructure cost:
256GB appliance
$1–2k $35k*
• Provisioning lead times
Hours
(maximum days)
On-prem:3–6 month
Most clouds: 2–6 weeks
Digital experiment succeeds
• Capitalize on solution ASAP
• De-risk with business continuity
and disaster recovery (BCDR)
Days
(maximum weeks)
Months
* Source: SAP HANA blog
Growing number of Companies are Taking Advantage Already
“Cloud is … part of the Digital Transformation agenda, and
... companies … digitally transforming themselves, struggle to
do so without the [Cloud].
UK Cloud Industry Forum, Cloud and the Digital Imperative, 2016
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 19
Cloud: a Must in our Digital IoT World
Join our Growing Ecosystem
June 10, 2017
© Copyright, 2017, Ocean9, Inc., All Rights Reserved
20
Enabling many Partners and Customers
Cloud makes IoT a Piece of cake
June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 21
Summary
• Solve the Chicken and Egg Problem
• Turn “Legacy” Apps into
Digital Engines via native cloud
• Public Cloud is the True Enabler of IoT
Please Meet Us at our Booth #234
June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 22
Let’s Continue
Attend our Sessions
• Running Databases in Containers. How
to Overcome the Challenges
Frank Stienhans, CTO Ocean9
Wed, June 7th, 8:30 – 9:05 am
• The “known unknown" of Big Data in IoT
Swen Conrad, CEO Ocean9
Wed, June 7th, 5:00 – 5:35 am
Booth #234
Visit us!
Try Ocean9
Born-in-the-Cloud
solutions for SAP
June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 23
Questions?
Thank you
Swen Conrad, CEO
swen@ocean9.io
650 889 9876
Founding team – Ocean9
Swen Conrad, CEO
Swen brings 20 years of business leadership in SAP and
cloud across consulting, IT management, marketing and
sales disciplines to Ocean9.
In 2002, he held IT operational responsibility for one of
Hewlett Packard’s ww SAP installations with $8billion in
annual transaction volume.
When at SAP he created the first unified solution for the
Business of IT, earning company wide recognition. Being
part of the highly successful SAP in-memory database
launch (SAP HANA), and later launching related AWS
and managed cloud offerings, he started shifting his full
attention to cloud.
In 2014, Swen rejoined HP where he has recently held
roles as SAP CTO as well as in cloud sales.
Swen has co-authored a book on IT Business
Management and is a frequent presenter at events.
Frank Stienhans, CTO
Frank is an early cloud innovator with key architecture
and operations contributions to SAP On Demand starting
in 2005.
In 2007, he was first to recognize the power of AWS for
SAP use cases: His team built a self-service platform that
allowed simple deployment of any kind of complex SAP
solution on AWS, launching more than 10k servers per
month. Gaining tremendous operational expertise, SAP’s
then CTO Vishal Sikka challenged Frank to build a fully
unattended SAP HANA service on AWS, which resulted in
96% cost savings.
In 2013 Frank joined AWS Professional Services. He has
helped many large SAP customers to leverage the full
power of the AWS platform.
Frank is considered the leading expert in his field and is
the holder of 18 cloud related patents.
Download Slides
6/10/2017 26© Copyright, 2017, Ocean9, Inc., All Rights Reserved
https://www.ocean9.io/content-download/cloudexpo-nyc-2017-database-containers

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Cloud Expo NYC 2017: Big Data in IoT

  • 1. Swen Conrad, CEO Ocean9 Cloud Expo, New York, June 2017 The “known unknown" of Big Data in IoT: How big will your data grow and by when?
  • 2. LOGISTICS Self-driving vehicles MANUFACTURING Industry 4.0 A Strategic Imperative IoT for Digital Transformation BANKING & INSURANCE Real time risk
  • 3. You are darned if you do, you are darned if you don’t Key consideration • Data access • Value of data over time • Security • Traceability to source June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 4 Collecting Relevant Data • Temp/Flow/Vibration • Data sheets • Location • Personnel • Inventory/RFID • POS data • RFID • Cust loyalty • Beacon marketing • GPS • Telemetry • Video • Temperature • Maintenance • Contents icons8
  • 4. Two Conflicting Paradigms in our Digital World June 10, 2017 5 One More Problem SLOW BACKEND OPERATIONS FAST PACED DIGITAL BUSINESS © Copyright, 2017, Ocean9, Inc., All Rights Reserved
  • 5. Cloud for IoT and More June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 6 Key Architecture Considerations • Data Lakes • Taking your “Legacy” to the Cloud • Heavy State Containers for Database agility • Experimentation as the new Planning
  • 6. A Cloud Architecture well suited for IoT use cases "If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples." Source June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 7 Data Lakes – A Definition
  • 7. Strong Governance is the Key Ingredient June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 8 High Level Data Lake Architecture Relational Documents, Emails Social Machines and Devices Lineage Age Privacy Usage history Metadata Data bucket Data bucket Data bucket Data bucket Data bucket Data bucket Data bucket Analyze + Transform Analyze Data Warehouse SAP HANA Real Time Analysis Business Analyst Data Scientist Data Scientist Time Series Analysis Business Analyst
  • 8. Search Capabilities, Data Tiering and Ageing June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 9 Making Key Data easily Accessible COLD HOT Performance Optimized Cost Optimized In-Memory SSD Disk -- SAN Local ArchiveDelete Key requirements • Managed trade-off between access speed and storage cost • Key business data with fast access – In-Memory • Consider usage over time, delete data with short lifespan Archive Object Local Disk Local SSD SAN Disk SAN SSD Cents per GB/ Month* 0.4 2.4 D2 instance I2, X1, R3 instances 2.5 10 Object Storage *AWS icons8
  • 9. Cloud for IoT and More June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 10 Key Architecture Considerations • Data Lakes • Taking your “Legacy” to the Cloud • Heavy State Containers for Database agility • Experimentation is the new Planning
  • 10. Born in the Cloud SAP-as-a-Service June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 11 Taking your “Legacy” to the Cloud Enterprise Class • High performance • High availability • Strict security PLUS • Cloud native capabilities • Database containers Ocean9 Intelligent Platform Database-as-a-Service Business Apps-as-a-Service
  • 11. DEMO June 10, 2017 12© Copyright, 2017, Ocean9, Inc., All Rights Reserved
  • 12. Cloud for IoT and More June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 13 Key Architecture Considerations • Data Lakes • Taking your “Legacy” to the Cloud • Heavy State Containers for Database agility • Experimentation is the new Planning
  • 13. BARE METAL Trend or Fad? June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 14 Evolution of Enterprise IT 1.More Choices 2.Faster Delivery 3.Higher Density 4.Increased Control VIRTUALIZATION CLOUD CONTAINERS
  • 14. Further Enterprise Security with Fallback to Virtualized World June 10, 2017 15 DB Containers – Production Ready Frontends Applications Databases? FRONTEND APPLICATION DATABASE RISK Blast Radius Single User Many Users All Users Recovery Minutes Minutes Hours - Days BENEFIT Cost Savings $ $$ $$$$$$
  • 15. Business Value June 10, 2017 16 Containers Workload Mobility Higher Average Resource Utilization Quick provisioning and scaling – for stateless
  • 16. Cloud for IoT and More June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 17 Key Architecture Considerations • Data Lakes • Taking your “Legacy” to the Cloud • Heavy State Containers for Database agility • Experimentation is the new Planning
  • 17. Enable Many Ideas and Projects for IoT Business Sucess June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 18 “Experimentation is the new planning” Example: SAP HANA Experimentation for IoT Success Enterprise IT Reality • Infrastructure cost: 256GB appliance $1–2k $35k* • Provisioning lead times Hours (maximum days) On-prem:3–6 month Most clouds: 2–6 weeks Digital experiment succeeds • Capitalize on solution ASAP • De-risk with business continuity and disaster recovery (BCDR) Days (maximum weeks) Months * Source: SAP HANA blog
  • 18. Growing number of Companies are Taking Advantage Already “Cloud is … part of the Digital Transformation agenda, and ... companies … digitally transforming themselves, struggle to do so without the [Cloud]. UK Cloud Industry Forum, Cloud and the Digital Imperative, 2016 June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 19 Cloud: a Must in our Digital IoT World
  • 19. Join our Growing Ecosystem June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 20 Enabling many Partners and Customers
  • 20. Cloud makes IoT a Piece of cake June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 21 Summary • Solve the Chicken and Egg Problem • Turn “Legacy” Apps into Digital Engines via native cloud • Public Cloud is the True Enabler of IoT
  • 21. Please Meet Us at our Booth #234 June 10, 2017 © Copyright, 2017, Ocean9, Inc., All Rights Reserved 22 Let’s Continue Attend our Sessions • Running Databases in Containers. How to Overcome the Challenges Frank Stienhans, CTO Ocean9 Wed, June 7th, 8:30 – 9:05 am • The “known unknown" of Big Data in IoT Swen Conrad, CEO Ocean9 Wed, June 7th, 5:00 – 5:35 am Booth #234 Visit us! Try Ocean9 Born-in-the-Cloud solutions for SAP
  • 22. June 10, 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 23 Questions?
  • 23. Thank you Swen Conrad, CEO swen@ocean9.io 650 889 9876
  • 24. Founding team – Ocean9 Swen Conrad, CEO Swen brings 20 years of business leadership in SAP and cloud across consulting, IT management, marketing and sales disciplines to Ocean9. In 2002, he held IT operational responsibility for one of Hewlett Packard’s ww SAP installations with $8billion in annual transaction volume. When at SAP he created the first unified solution for the Business of IT, earning company wide recognition. Being part of the highly successful SAP in-memory database launch (SAP HANA), and later launching related AWS and managed cloud offerings, he started shifting his full attention to cloud. In 2014, Swen rejoined HP where he has recently held roles as SAP CTO as well as in cloud sales. Swen has co-authored a book on IT Business Management and is a frequent presenter at events. Frank Stienhans, CTO Frank is an early cloud innovator with key architecture and operations contributions to SAP On Demand starting in 2005. In 2007, he was first to recognize the power of AWS for SAP use cases: His team built a self-service platform that allowed simple deployment of any kind of complex SAP solution on AWS, launching more than 10k servers per month. Gaining tremendous operational expertise, SAP’s then CTO Vishal Sikka challenged Frank to build a fully unattended SAP HANA service on AWS, which resulted in 96% cost savings. In 2013 Frank joined AWS Professional Services. He has helped many large SAP customers to leverage the full power of the AWS platform. Frank is considered the leading expert in his field and is the holder of 18 cloud related patents.
  • 25. Download Slides 6/10/2017 26© Copyright, 2017, Ocean9, Inc., All Rights Reserved https://www.ocean9.io/content-download/cloudexpo-nyc-2017-database-containers