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Swen Conrad
CEO, Ocean9
June 8, 2016
The Big Data decision path
incorporating SAP landscapes –
A process driven by busines...
• Love technology that enables business results and enjoy
building a bridge from technology to business
• Focus on big dat...
Big Data technology for real-time processing
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 3
What is ...
Out of the box integration of Spark and SAP HANA
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 4
SAP ...
Most companies owning/using several Big Data
solutions
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved ...
Optimize or Innovate? – Business reqs drive the
choice
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved ...
Big Data Use Cases
What if … ?
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 7
From logistics operations to strategy: Many use cases!
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved ...
Smart Arena … smart everything
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 9
San Francisco 49ers
• ...
Transportation-as-a-Service
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 10
Automotive industry
• In...
Use case drives
technology choice!
What drives
implementation speed and
success?
June 15, 2016 © Copyright, 2016, Ocean9, ...
Cloud and X-as-a-Service key to overcoming gap!
• New kinds of services
with rapid innovation
• Fast prototyping
– Try bef...
No investment risk – highly secure and resilient
SAP HANA on AWS, powered by Ocean9
An aviation example for IoT and predictive
maintenance
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved ...
Concept car IOT implementation – see blog post*
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 15
Echo...
How to achieve great Big Data results?
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 16
Summary
ONE
T...
The operating system for big data
• Enable enterprise class big data at controlled cost
Secure, reliable and dedicated clo...
Presenter: Frank Stienhans, CTO Ocean9
• Nov. 9th, 9am Pacific
• Register here:
https://www.brighttalk.com/webcast/929
3/2...
Topics at the intersection of Business, AWS, and SAP
June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 19...
Thank you!
Q&A?
Swen Conrad, Ocean9
swen@ocean9.io
650 889 9876
20
Hadoop, Spark and Big Data Summit presentation with SAP HANA Vora and a path to get to results
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Hadoop, Spark and Big Data Summit presentation with SAP HANA Vora and a path to get to results

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Slides from BrightTALK webinar; listen here: http://bit.ly/1rpVkov

Understand how popular open source and vendor provided technologies integrate well, all making key contributions to a successful big data technology.

But more important than technology is the business goals you define and aim to achieve. - See many examples in this deck and online presentation.

Lastly, how do you bridge the digital implementation gap between in-house capabilities and the market demands driving endless new technologies. - How can you test drive and prototype without owning and committing to all these new technologies?

Listen to the full webcast to find out how: http://bit.ly/1rpVkov

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Hadoop, Spark and Big Data Summit presentation with SAP HANA Vora and a path to get to results

  1. 1. Swen Conrad CEO, Ocean9 June 8, 2016 The Big Data decision path incorporating SAP landscapes – A process driven by business needs
  2. 2. • Love technology that enables business results and enjoy building a bridge from technology to business • Focus on big data, cloud, IT management and SAP • Passionate about – SAP HANA and big data simplification, automation and operation – Customer success June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 2 My experiences
  3. 3. Big Data technology for real-time processing June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 3 What is SAP HANA? Diagram source: SAP • Columnar in-memory database for OLTP and OLAP, fully ACID compliant • Extreme high-performance due to data residing in RAM • Out of the box integration with Hadoop and Spark (HANA Vora)
  4. 4. Out of the box integration of Spark and SAP HANA June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 4 SAP HANA Vora • SAP HANA Smart Data Access for Hadoop • SAP HANA Vora In-memory query engine to extend Spark execution framework Source: http://www.slideshare.net/SAPTechnology/spark-usage-in-enterprise-business-operations?
  5. 5. Most companies owning/using several Big Data solutions June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 5 Do Hadoop, Spark & HANA fit together? Apache Projects Hadoop • Low cost, highly distributed storage and processing – very large datasets • Clusters build on commodity hardware • Excellent price/performance ratio Spark • Hadoop related project • Many data sources • 10 – 100x faster than Map Reduce + SAP Big Data SAP HANA • Extreme high performance across many use cases enabling real-time business • Certified infrastructure only • Optimized for SAP use cases SAP HANA Vora • In-memory query engine for Spark execution framework • Integrates corporate big data with transactional ERP data • Seamless big data tiering between HANA and Hadoop • Enriched analytics in distributed clusters
  6. 6. Optimize or Innovate? – Business reqs drive the choice June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 6 Two groups of Big Data patterns • Targeted operational data marts • Data warehouse optimization • 360 degree customer view • Real-time offering management • Smart store, smart arena, smart everything • IoT Business Innovation Optimize Existing Process
  7. 7. Big Data Use Cases What if … ? June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 7
  8. 8. From logistics operations to strategy: Many use cases! June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 8 Logistics and transportation • Sensor based predictive maintenance • Route optimization – Scheduling – Real-time updates – Crowd sourced delivery • Strategy & operational planning • New business models – Market intelligence for 3rd parties – Address verification – Environmental intelligence Source: DHL
  9. 9. Smart Arena … smart everything June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 9 San Francisco 49ers • A next generation fan experience – 360 degree view of fan – Location awareness – Highly mobile • Other sports related big data use cases – Live on field data collection – Globalization of home town teams • Other consumer business – Smart stores – Mobile assistants … and more
  10. 10. Transportation-as-a-Service June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 10 Automotive industry • Industry upset by new entrants • Entirely new business models – Self driving – Car and ride sharing – Service upsell within a digitized automobile • What is the right Big Data technology?
  11. 11. Use case drives technology choice! What drives implementation speed and success? June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 11
  12. 12. Cloud and X-as-a-Service key to overcoming gap! • New kinds of services with rapid innovation • Fast prototyping – Try before you buy – Pay-as-you go • Cloud elasticity for usage based services in the new digital world See: BMW AWS show case June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 12 The implementation gap Market forces and business needs Big Data and IoT infrastructure reality Rapid Technology Evolution Time & Cost Skills gap
  13. 13. No investment risk – highly secure and resilient SAP HANA on AWS, powered by Ocean9
  14. 14. An aviation example for IoT and predictive maintenance June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 14 EMR (Hadoop), SAP HANA and S3
  15. 15. Concept car IOT implementation – see blog post* June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 15 Echo, Alexa, Lambda, Ocean9 and HANA * http/ocean9.io/post/from-amazon-echo-to-sap-hana-on-aws
  16. 16. How to achieve great Big Data results? June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 16 Summary ONE TWO THREE Inspire –> Talk business outcome first Fail fast and often –> Cloud based POCs Roll-out quickly –> With cloud
  17. 17. The operating system for big data • Enable enterprise class big data at controlled cost Secure, reliable and dedicated cloud service offering w/ public cloud economics • Drive customer speed and agility in a governed fashion Business agility through automation, continuous innovation and cloud elasticity • Provide push button simplicity with intelligent guidance Deployment configuration support and planning powered by machine learning June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 17 Ocean9 solution
  18. 18. Presenter: Frank Stienhans, CTO Ocean9 • Nov. 9th, 9am Pacific • Register here: https://www.brighttalk.com/webcast/929 3/208935 June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 18 Ocean9 at November Big Data Summit 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.
  19. 19. Topics at the intersection of Business, AWS, and SAP June 15, 2016 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 19 Check out the Ocean9 Blog http://ocean9.io/blog
  20. 20. Thank you! Q&A? Swen Conrad, Ocean9 swen@ocean9.io 650 889 9876 20

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