the cloud imperative – what, why, when and how
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TechWise Episode III, Featuring Dr. Robin Bloor and Gilbert Cutsem Live Webcast on September 24, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=61c9c40def9ecba2b0dabf03b6075f3a Regardless of where you stand in the enterprise, Cloud Computing has arrived. From the analytics that drive dynamic change, to the operational systems that keep the business humming; from the predictive models that improve results, to the database systems that underpin the most advanced infrastructure in history -- the Cloud now challenges the status quo in every corner of the enterprise. Register for this episode of TechWise to hear veteran Analysts Dr. Robin Bloor of The Bloor Group, and Gilbert Cutsem, as they explain how today’s cutting edge Cloud solutions can deliver enterprise caliber software like never before. They’ll discuss best practices for moving to the Cloud, and offer insights for enabling intelligent hybrid architectures that can connect data, systems and business processes. Visit InsideAnlaysis.com for more information.TRANSCRIPT
Grab some coffee and enjoy the pre-show banter before the top of the hour!
“The Cloud Impera0ve: What, Where, When & How?” TechWise Webcast | Sept. 24, 2014
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Guests
Dr. Robin Bloor Chief Analyst, The Bloor Group
Host: Eric Kavanagh CEO, 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
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Edict from Above • Cloud computing is everywhere! • Use Cloud whenever appropriate • Very low barrier to entry • Almost any service accommodated • Be careful about architecture!
Executive Summary
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Dr. Robin Bloor Chief Analyst, The Bloor Group
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The Landscape of The Cloud
Robin Bloor, Ph.D.
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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 . . .
The Death of Brands
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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
Hence: Reasons to Eschew the Cloud
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u Prototyping activity u Data center offload
of non-critical applications
u Data center offload of standardized applications
Reasons to Adopt the Cloud
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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)
Cloud Providers & Economies of Scale
Perhaps It’s ALL About Economies of Scale?
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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
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Gilbert Van Cutsem Independent Analyst
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The Cloud Imperative
The Sky is the Limit … Urban legends & Mother Wit?
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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 ?
The Cloud Imperative
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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
The Cloud Imperative
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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 +)
The Cloud Imperative
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u Why – Hidden Intent
• Change of Control – CIO to CMO Power Shift or Struggle – CIO Readiness
The Cloud Imperative
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u When – Limiting Head Start
– Trusted parties » Data Security » Single Point of Failure
– Change Management – Diminishing Returns
The Cloud Imperative
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u How – Provisioning
• Up & Down
– On-Boarding • On & Off
The Cloud Imperative
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The Cloud Imperative
The Sky is the Limit!
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Ashish Thusoo CEO & Co-Founder, Qubole
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September 2014
Webinar Bloor Group
Big Data as a Service
Solution
Confidential and Proprietary, Qubole Inc. page 6
Cloud Hadoop SaaS + + = Agile and Adaptive Infrastructure
Flexible and Scalable Infrastructure
Self Service
Qubole: Brings Benefits of Cloud to Big Data
Confidential and Proprietary, Qubole Inc. page 23
Qubole Vs. On-prem Hadoop
Confidential and Proprietary, Qubole Inc. page 24
Confidential and Proprietary, Qubole Inc.
Qubole Data Platform
page 25
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
Rapid expansion of big data beyond developers (240 users out of 600 person company)
Qubole Case Study
Confidential and Proprietary, Qubole Inc.
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.
Use Cases
“Qubole has enabled more users within Pinterest to get to the data and has made the data platform lot
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
Powering Agile Data Driven Enterprises
Qubole Mission
Confidential and Proprietary, Qubole Inc. page .28
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Mike Miller Chief Scientist, Cloudant
Cloudant and the Five W’s Mike Miller
Founder, Chief Scientist @mlmilleratmit
2014-09-24 2014-09-24
{Focus: ‘Core Competency’}
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{Use: ‘Services’}
‣ modular, reusable, composable
‣ reduce time to market
‣ improve scalability
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Devices Big Data
These break our existing models for computing
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ships with a mobile strategy
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{Write: ‘Local’, Sync: ‘Later’}
Embedded, Mobile, Wearables
Desktop, Browser
Cloud
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{Introductions: ‘Cloudant’}
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{Install: ‘Cloudant’}
You do this: We give you:
https://<username>.cloudant.com
Done!
Sign Up
Step 1 Step 2 Step 3
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{Cloudant: ‘API’}
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JSON Documents
Primary Index
Secondary Indexes
Search & Geospatial
{Grow: ‘More’}
Public or Private Cloud Rackspace, Softlayer, Joyent, Azure, AWS, Hostway, ...
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{Sleep: ‘More’}
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cloudant.com
@mlmilleratmit
#Cloudant
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Thanks!
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IRC
https://cloudant.com/for-developers/crud/
#learnmore
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{Schemas: ‘Optional’}
‣ Schemas & protocols can be restrictive and inhibit data integration
‣ JSON over HTTP
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{Challenge: ‘Dogma’}
‣ “Scaling would be a good problem to have. We’ll deal with that later”
‣ False: Scaling Mandatory
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{API: ‘REST’}
‣ Write a doc...from the browser
‣ No client install necessary
‣ JSON, REST, HTTP
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{API: ‘Search’}
‣ Query those indexes
‣ Rinse and repeat.... billions of times per day
‣ Create secondary indexes
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Lawrence Schwartz VP of Marketing, Attunity
Attunity CloudBeam The Cloud Imperative: What, Where, When and How
Lawrence Schwartz September 24, 2014
Attunity Corporate Overview
Overview
§ Company: AKunity Ltd.
§ Exchange (Ticker): NASDAQ (ATTU)
§ North American HQ: Burlington, MA
AKunity enables high-‐performance and easy Big Data movement on-‐premises and to the Cloud, essen0ally ensuring that any data is available any where, at any 2me.
Recent Awards
BI / Reporting
User / Customer
Archiving
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
DataWarehouse
BI/AnalyticsServer
Data Store
Cloud
DataWarehouse
BI/AnalyticsServer
Data Store
Cloud
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AWS Big Data Integra2on Partner
Old-School ETL Fails to the Cloud
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Traditional ETL Server
The Challenges of 20+ Year Old ETL Solutions
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Source and Target
Proliferation
Extract Data Transform Load
Time and Resource Intensive to Set up
Management and Monitoring a Headache Stale Data Due to Batch Processes
Move Any Data, Any Time, Any Where.
Attunity CloudBeam Architecture
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» Advanced Monitoring and Control
» Click-‐to-‐Replicate Design
» Fast Loading and Real-‐Time Change Data Capture (CDC)
» Broadest Pla^orm Support
» Non-‐intrusive Architecture
Move Any Data, Any Time, Any Where.
Enabling the Promise of Cloud
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Setup
Performance Wide Support
Monitor and Control
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
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
Q&A and Additional Resources
For more info, contact:
Lawrence Schwartz VP Marketing » Email: [email protected] » Twitter: @Schwartzlaws » @Attunity » www.attunity.com/cloud
Thank you for your time today!
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Questions?
#TechWise or
USE THE Q&A
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