the cloud imperative – what, why, when and how

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

mike@cloudant.com

@mlmilleratmit

#Cloudant

2014-09-24

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: Lawrence.schwartz@attunity.com » Twitter: @Schwartzlaws »  @Attunity » www.attunity.com/cloud

Thank you for your time today!

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Questions?

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USE THE Q&A

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