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.
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!
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
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
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
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
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!