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The Cloud Imperative – What, Why, When and How
- 1. Grab some coffee and enjoy the pre-show banter before the top of the hour!
- 2. “The Cloud Impera0ve: What, Where, When & How?” TechWise Webcast | Sept. 24, 2014
- 3. + Guests Host: Eric Kavanagh CEO, The Bloor Group Dr. Robin Bloor Chief Analyst, The Bloor Group PLUS: Ashish Thusoo CEO & Co-Founder, Qubole Mike Miller Chief Scientist, Cloudant Lawrence Schwartz VP of Marketing, Attunity Gilbert Cutsem Independent Analyst
- 4. + Executive Summary Edict from Above • Cloud computing is everywhere! • Use Cloud whenever appropriate • Very low barrier to entry • Almost any service accommodated • Be careful about architecture!
- 5. Dr. Robin Bloor Chief Analyst, The Bloor Group +
- 6. The Landscape of The Cloud + Robin Bloor, Ph.D.
- 7. The Death of Brands u When you buy a cloud service, you care about: + – The application – The service levels – The usage cost – . . .because it is a service u You DON’T care about: – The hardware (it’s usually commodity x86 boards) – Or the networking (usually Cisco) – Or the OS (it’s usually Linux) – Or the file systems (possibly Hadoop) – Maybe not even the database (often MySQL or PostgreSQL) u This implies the demise of IT brands . . .
- 8. Hence: Reasons to Eschew the Cloud + u They cannot meet our service level needs – Governance – Performance – Flexibility u We can do it cheaper u The application doesn’t fit/integrate well
- 9. + Reasons to Adopt the Cloud u Prototyping activity u Data center offload of non-critical applications u Data center offload of standardized applications
- 10. Cloud Providers & Economies of Scale + u Choose their data center location (economies of scale) u Standardize on facility: A/C, power, etc. (economies of scale) u Standardize on networking hardware (economies of scale) u Standardize on computer hardware (economies of scale) u Some even build their own hardware (economies of scale) u Open source software (economies of scale) u Standardize all software (economies of scale) u Support themselves (economies of scale) u Scale up and out (economies of scale) u Monitor usage (economies of scale) Perhaps It’s ALL About Economies of Scale?
- 11. + Logic Suggests Where economies of scale are possible, the cloud WILL triumph (sooner or later) Where innovation counts, the cloud will always be second best
- 12. Gilbert Van Cutsem Independent Analyst +
- 13. + The Cloud Imperative The Sky is the Limit … Urban legends & Mother Wit?
- 14. + The Cloud Imperative u What – SaaS-ification is here to stay • Good Software never dies, it merely moves to the Cloud • The Obvious corporate timeline – CMO Time to market » We need it all and we need it now – CIO Elasticity » What goes up must come down – CFO CAPEX versus OPEX » How much will this set us back – CEO Risk Mitigation » Are we ready ?
- 15. + The Cloud Imperative u What – The Risk • Thought leadership in an unfinished past • On Boarding – Stuck in translation • Integrating in a hybrid world » Pareto’s 80/20 » Garbage in Garbage out • Multitenant Architectures – Data Privacy & OYOD – Data Security
- 16. + The Cloud Imperative u Why – Strategic Intent • Subscribers : Market Pressure – Market Psychology • Providers : Competitive Pressure – Peer Pressure – Bill versus Budget Paradox • Subscription – All you can eat • Usage Based & Metered Consumption • Hybrid (Retainer +)
- 17. + The Cloud Imperative u Why – Hidden Intent • Change of Control – CIO to CMO Power Shift or Struggle – CIO Readiness
- 18. + The Cloud Imperative u When – Limiting Head Start – Trusted parties » Data Security » Single Point of Failure – Change Management – Diminishing Returns
- 19. + The Cloud Imperative u How – Provisioning • Up & Down – On-Boarding • On & Off
- 20. + The Cloud Imperative The Sky is the Limit!
- 21. Ashish Thusoo CEO & Co-Founder, Qubole +
- 22. Webinar Bloor Group September 2014 22 Big Data as a Service
- 23. Qubole: Brings Benefits of Cloud to Big Data Confidential and Proprietary, Qubole Inc. page 23
- 24. Qubole Vs. On-prem Hadoop Confidential and Proprietary, Qubole Inc. page 24
- 25. Confidential and Proprietary, Qubole Inc. Qubole Data Platform page 25
- 26. Current Service Stats ~ 30 PB of data processed per month 10 – 1500 node clusters on a daily basis 250,000 machines per month Confidential and Proprietary, Qubole Inc. page 26
- 27. “Qubole has enabled more users within Pinterest to get to the data and has made the data platform lot Use Cases Rapid expansion of big data beyond developers (240 users out of 600 person company) Qubole Case Study Why Qubole? Moved to Qubole from Amazon EMR because of stability and rapidly expanded big data usage by giving access to data to users beyond developers. Confidential and Proprietary, Qubole Inc. more scalable and stable” Mohammad Shahangian - Lead, Data Science and Infrastructure User and Query Growth Rapid expansion in use cases ranging from ETL, search, adhoc querying, product analytics etc. Rock solid infrastructure which sees 50% less failures as compared to AWS Elastic Map/Reduce Enterprise scale processing and data access page 27
- 28. Qubole Mission Powering Agile Data Driven Enterprises Confidential and Proprietary, Qubole Inc. page .28
- 29. + Mike Miller Chief Scientist, Cloudant
- 30. Cloudant and the Five W’s Mike Miller Founder, Chief Scientist @mlmilleratmit
- 31. {Focus: ‘Core Competency’} 2014-09-24 31
- 32. {Use: ‘Services’} ‣ modular, reusable, composable ‣ reduce time to market ‣ improve scalability 2014-09-24 32
- 33. 2014-09-24 33 Big Data Devices These break our existing models for computing
- 34. 2014-09-24 34 ships with a mobile strategy
- 35. {Write: ‘Local’, Sync: ‘Later’} Embedded, Mobile, Wearables 2014-09-24 Desktop, Browser Cloud 35
- 38. {Install: ‘Cloudant’} Step 1 Step 2 Step 3 You do this: We give you: 2014-09-24 https://<username>.cloudant.com Done! Sign Up 38
- 39. {Cloudant: ‘API’} 2014-09-24 39 JSON Documents Primary Index Secondary Indexes Search & Geospatial
- 40. {Grow: ‘More’} Public or Private Cloud Rackspace, Softlayer, Joyent, Azure, AWS, Hostway, ...
- 41. {Sleep: ‘More’} 2014-09-24 41
- 42. Thanks! cloudant.com mike@cloudant.com @mlmilleratmit #Cloudant 2014-09-24 #learnmore 42 IRC https://cloudant.com/for-developers/crud/
- 43. 2014-09-24 43
- 45. {Schemas: ‘Optional’} ‣ Schemas & protocols can be restrictive and inhibit data integration ‣ JSON over HTTP 2014-09-24 45
- 46. {Challenge: ‘Dogma’} ‣ “Scaling would be a good problem to have. We’ll deal with that later” ‣ False: Scaling Mandatory 2014-09-24 46
- 47. {API: ‘REST’} ‣ Write a doc...from the browser ‣ No client install necessary ‣ JSON, REST, HTTP 2014-09-24 47
- 48. {API: ‘Search’} ‣ Create secondary indexes ‣ Query those indexes ‣ Rinse and repeat.... billions of times per day
- 49. Lawrence Schwartz VP of Marketing, Attunity +
- 50. Attunity CloudBeam The Cloud Imperative: What, Where, When and How Lawrence Schwartz September 24, 2014
- 51. Attunity Corporate Overview AKunity enables high-‐performance and easy Big Data movement on-‐premises and to the Cloud, essen0ally ensuring that Overview any data is available any where, at any 2me. § Company: AKunity Ltd. § Exchange (Ticker): NASDAQ (ATTU) § North American HQ: Burlington, MA Recent Awards BI / Reporting Archiving User / Customer We Move the Data that Moves Our Customers’ Business Where the Data Needs to Be Social Customer Relationship Management Internet Enterprise Resource Planning Point of Sale Data Warehouse BI/Analytics Server Data Store Cloud 51 AWS Big Data Integra2on Partner
- 52. Old-School ETL Fails to the Cloud 52
- 53. The Challenges of 20+ Year Old ETL Solutions Time and Resource Intensive to Set up Traditional ETL Server 53 Source and Target Proliferation Extract Data Transform Load Management and Monitoring a Headache Stale Data Due to Batch Processes Move Any Data, Any Time, Any Where.
- 54. Attunity CloudBeam Architecture » Advanced Monitoring and Control » Click-‐to-‐Replicate Design » Fast Loading and Real-‐Time Change Data Capture (CDC) » Broadest Pla^orm Support » Non-‐intrusive Architecture 54 Move Any Data, Any Time, Any Where.
- 55. Enabling the Promise of Cloud 55 Setup Performance Monitor and Control Wide Support
- 56. Success Story – Etix » Needs / Challenges » Load / sync data from Oracle to Redshift in a timely manner » Estimated 3 full months of dev time but required immediate results » Solution » Attunity CloudBeam for Amazon Redshift » Maintain up-to-date data warehouse for real-time analytics » Identify actionable marketing data » Benefits » Eliminated need for full-time DBA, project dev work & maintenance for annual savings = ~ $80k » Condensed dev time to minutes, instead of months » Now able to identify peak times for transaction processing (resource allocation) » Profitable exploitation of demographic marketing data The largest independent /cke/ng company in North America, E/x provides online and box office solu/ons. Business Case “Not only did we avoid 3 months of development work and saved approximately $80,000 in labor, but AAunity enabled real-‐ /me data loading from Oracle to Amazon Redshi@ in just minutes. Compe//ve Advantage realized with just a few clicks.” -‐Daniel Heacock, Data Architect, E0x www.aKunity.com/cloud
- 57. Success Story – Philips Healthcare » Needs / Challenges » Load / sync data from SQL Server to Amazon Redshift in a timely manner » Enterprise-scale project pressured by aggressive deadlines & modest budget » Solution » Attunity CloudBeam for Amazon Redshift » Maintain up-to-date data warehouse for real-time analytics. Reduced load time from 75 days to 2 hours. » Identify actionable operational data » Benefits » Avoided weeks of dev time & cost; demonstrated value immediately to stakeholders » Now able to identify metrics to support Quality of Care, Costs, and Operations » Uncovered opportunities for increasing profitability and create a Competitive Advantage. Diversified technology company with porJolio of 40 businesses serving markets of Healthcare, Personal Health, and Ligh/ng. Business Case “APer weeks of manual aAempts, we turned to AAunity CloudBeam for Amazon RedshiP. In less than an hour, ADunity loaded 37 million records. With data in place, Philips can make real-‐/me business decisions and achieve a Compe//ve Advantage”. -‐Andy Allaway, Data Scien0st Philips Healthcare
- 58. Q&A and Additional Resources For more info, contact: Lawrence Schwartz VP Marketing » Email: Lawrence.schwartz@attunity.com » Twitter: @Schwartzlaws » @Attunity » www.attunity.com/cloud Thank you for your time today!
- 59. + Questions? #TechWise or USE THE Q&A
- 60. + THANK YOU! FIND THE ARCHIVE AT InsideAnalysis.com & Techopedia.com