1.
Business value from
Big Data

2.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• Key technologies
• How can I get started?

3.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• Key technologies
• How can I get started?

4.
What’s Big Data?
• Volume
• Velocity
• Variety
• Value

5.
Large datasets

6.
Challenge
40% 5%
Growth of IT
spending per year
Growth of data
generated per year
Source: McKinsey

7.
Maybe Big Data is...
• When any of volume, velocity, variety, value
(cost?) becomes a problem
• When new use cases emerge, new things
become possible, because of new data
sources

8.
For example
US cell Items shared Smart meter
updates Social media readings 2015
600B/day 4B/day 29B/day

9.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• Key technologies
• How can I get started?

10.
Why now?

11.
Cost per gigabyte
1000 $569
100
$ per GB
10
1
$0.13
1992 1994 1996 1998 2000 2002 2004 2006 2008
Source: Deloitte

12.
Guess what?

13.
Disruptive innovation

14.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• Key technologies
• How can I get started?

15.
Why care?
“Companies that can harness big data will
trample data incompetents”
The Economist, May 26th 2011

16.
Why care - take 2
• The competition will do it (and you’ll get
fired)
• Competitive advantage to be gained by
doing it well (you get promoted)
• It’s not hard to get started (no need for huge
investment)

17.
What are we looking
for?
• Data / Information
• Insights
• Actionable intelligence

18.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• Key technologies
• How can I get started?

19.
Databases
A Relational Model of Data for Large Shared Data Banks
Tedd Codd, CACM, June 1970
Image: IBM

20.
Big = Slow?
Throughput
Throughput: records/ms
falls as datasets
get larger
0 25 50 75 100
Records (in millions)
Source: Gerard Maas, http://www.gerardmaas.net/2011/06/bigdata-on-rdbms

21.
Scale-out versus Scale-up
21

22.
Hadoop
• Great for unstructured data or arbitrary
queries
• MapReduce framework for distributed
compute
• Tools now making it accessible
• Still essentially a batch processing system

23.
What about real-time?

24.
Use cases
• Tracking trending topics on social media
• Network and infrastructure monitoring
• Web and ad analytics dashboard and
platforms
• Real-time A-B testing
• User profiling

25.
NOSQL
Voldemort

26.
No “one size fits all”
• Column DBs and Key-Value stores P
• Document databases
• Graph databases
C A

27.
Questions to ask
• Who uses it?
• Who can support it? Where are they?
• How does it scale? Perform?
• Maturity, both DB and tool ecosystem

28.
Changing economics
XDR XDR
metadata metadata
Oracle
NetApp 30 x $3k Dell servers
30 days of SMS 1/5th TCO of alternatives
At capacity ceiling Cost grows predictably

29.
Agenda
• What’s Big Data?
• Why now?
• Why care?
• What’s the new technology good for?
• How can I get started?

30.
Start small
• Identify data sources
• Look at capabilities
• Run experiments, PoCs

31.
Data sources
Web, SCM, Retail Location Services Infra Monitoring
Smart Metering Oil/Gas Sensors Ad Marketplaces
Fraud Detection Social Media
31

32.
Capabilities
• Open source, supported, or “packaged”
solution?
• How do “commodity” servers fit your
infrastructure?
• Don’t rule out Cloud deployments to get
quick answers
32

33.
Acunu
Discover the Potential of Real Time Big Data with Acunu Activate Acunu Reflex
Makes Big Data results easy, economic and fast
Every CIO, Architect and Analyst knows of existing data with huge untapped potential within their organisation.
Zero to Big Data Hero
Evolving Big Data technologies provide new paths to revenue with both customers and prospects. Build a Big Data database cluster on commodity hardware in hours, not days.
$
Acunu partners with you to deliver competitive advantage by
capturing data and exploring its benefits. You’ll validate the
value of Big Data by building real applications and dashboards
to drive new value for your business.
“ Key business andmanagement and processing landscape.
traditional data
technology trends are disrupting the
Save Money versus Open Source Alternatives
At the outset, we work with you to identify and develop use
Data analysis is increasingly being viewed as a Save up to 60% on hardware and operation costs.
competitive advantage. An increasingly sensor-enabled
cases and areas where Big Data tools could be utilised to add
and instrumented business environment is generating huge
significant business value. We work with you to recommend
z z z Database lag getting you down?
solutions architectures for your specific use cases. volumes of data… Traditional IT infrastructure is simply
”
zz
not able to meet the demands of this new situation.
We then deploy Acunu Reflex in your own data center or in the
cloud and can include Apache Hadoop for investigative work and -Gartner Milliseconds turning into minutes?
Acunu Analytics for real-time decision support.
Once the software is installed, we work with you to integrate, capture and store sources of data from inside
your organisation. We provide hands-on assistance to help you showcase the business value of your data
through live proof-of-concept applications. You’ll get results quickly, with successive iterations delivering What is Acunu Reflex?
ongoing value.
As a result, you gain an understanding of Big Data’s transformative capability through working Easy
Acunu provides an integrated suite of technologies to support rapid development and deployment of
demonstrations and have a clear route to deliver that competitive advantage to your business. your Big Data applications. Getting started is easy with a single, fast installation, handling all the details
usually associated with OS tuning, storage optimization, database integration and management.
This alleviates the complexity of NoSQL development, deployment and support. The platform is flexible
and scalable, providing simple, one click deployment. Scale linearly with ease and deploy across
numerous machines within a data center or across a globally distributed public or private cloud.
Workshops Structure & Planning Ecosystem of Expertise
Acunu Specialist delivers A dedicated Project Lead will Acunu’s Big Data expertise is
workshops and provides keep the project on track complemented through our
on-demand consulting to
enable your development team
through kickoff, reviews and
regular calls. Progressively,
partners. Together we will build
your own Big Data ecosystem. Economic
to build Big Data applications. we’ll help you plan next steps.
Acunu’s subscription base pricing model insures continuous value, skipping charges for non-production
deployment, so you can defer technology expenses until your application goes into production. Acunu
provides the NoSQL domain expertise you need, reducing your technology deployment costs without
compromising your data security. The platform is architected to store significantly more data per node
A Comprehensive Big Data Discovery Package than competing technologies with a focus on reducing both your initial hardware and operational costs
over time. Acunu’s support for commodity hardware and large capacity disks further reduces your costs.
Deployment Data Source Integration Support & Training Fast
We deploy Acunu’s database We work with you to integrate We deliver hands on training
and storage software, complete sources of log, clickstream, on the Acunu Reflex Acunu provides a suite of products focused on bringing you the performance your Big Data applications
with management tools, to sensor, monitoring or similar infrastructure to your demand. Whether it’s a globally distributed database, millions to billions of records, tremendous amounts
your own hardware or to data into Acunu Reflex. operations staff, and provide of machine generated data or managing millions of active users, Acunu provides you with real time
Amazon’s public cloud. support throughout the project.
results. Acunu has the professional services and support to get your applications up and running in the
shortest possible time. Acunu leverages best in class open source solutions, adding additional
management and performance technology to accelerate your Big Data results.
33

34.
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