Published on Sep 16, 2015 The Internet of Things (IoT) is beginning to impact every aspect of our lives. We now do almost everything using our mobile devices – from turning on a coffee pot to counting our daily steps, even turning off the lights and locking the doors of our homes. The digital and physical universes are merging, and creating massive amounts of data. It isn't just IoT, IDC predicts that by 2020, we’ll create 44 trillion gigabytes of data, much of which will be unstructured. We’re all aware that the dramatic increase in unstructured data will have an impact. But do you really know how to set-up your business and your team for success? Are you really future proofed or just hoping the patches will hold? In order to successfully manage the big data deluge, companies must adopt strategic approaches to ensure they can not only manage, but benefit from and even monetize big data. Data is becoming a board level discussion. NoSQL is emerging as a real game changer for organisations looking to leverage their data for business competitive advantage, move away from existing complicated, expensive and even out-dated technologies. But for many NoSQL is still untested and untried and requires a leap of faith for enterprise business few find un-challenging to take. The decision you make on your data strategy are becoming both your greatest challenge and your greatest opportunity. Come discover business critical insight into how to take advantage of emerging technologies for maximum business impact. I discuss how big data will affect enterprises, including its benefits and challenges, as well as steps organizations can take to manage the big data deluge. This talk is designed to break down the true situation, uncover the true facts and implications of both your existing and future technology stacks. Demystify the challenge and provide the insight you need.

1. THE BIG DATA EXPLOSION
Are you ready?
MANU MARCHAL
Managing Director EMEA

2. AN IoT RICH DATA DAY

3. 80 MILLION PEOPLE
1300 MESSAGES A SECOND
 24 Hours a Day / 365 Days a Year
 Information is requested and amended more
than 2.6 BILLION times a year
 Has enabled over 42 MILLION Summary
Care Records to be created and stored
 Has transmitted over 1.3 BILLION
prescription messages. 1800 messages/s
 £21m savings in first year. 700hrs saved
every day
NHS Data Spine

4. Smart Thermostat Market is expected to grow from $146.9
million in revenue in 2014 to $2.3 billion by 2023.
-Navigant
THE CONNECTED HOME
 Store historical date for analytics
 Store User Schedules
 Sessions Storage for Connected Users

5. 1.5 TRILLION RECORDS PER DAY
400% Year Over Year Increase
 Ability to Monitor entire IT
environment from Single Portal
 Array of Real-Time Statistics
and Insight
 Centralize & Correlate Events,
Alerts, and Notifications

6. Cloud-based management tools and data analytics usually only
accessible to larger companies.
Millions of transactions each day.
POS FOR OVER 20K SMALL
BUSINESSES
 Quick Service
 Retail
 Restaurant & Bar

7. 20 TERABYTES OF DATA
PER DAY BILLIONS OF
MOBILE DEVICES
 10 BILLION data transactions a
day – 150,000 a second – Apple
 Forecasting 2.8 BILLION locations
around the world
 Generates 4GB OF DATA every
second
We’re focusing on helping
people make better decisions
with the weather.

8. WEATHER FORECAST
PREDICTS WALMART’S SALES
Ideal BERRY weather turns out to
be low wind with temperatures
below 28C.
People are more likely to eat STEAK
when it's warm out with higher winds
but no rain, but not if it gets too hot.

9. WHAT ARE THE IMPLICATIONS?
Enterprises must choose: Modernize or Sink!
• Adopt technologies to successfully manage data generated
by new data sources and consumed by users accessing
complex data types from around the world, 24 hours a day.
• Organizations must make plans to handle data ingestion,
data storage, and analytics in order to bring value to the
business.
• Increasingly look to distributed systems to help manage the
influx of traffic, and ease current operational challenges.

10. DISTRIBUTED WORKLOADS
App App App App
Virtualization
Server
App
Aggregation
Server Server Server Server
Client-Server Era:
SMALL APPS
BIG SERVERS
ONE LOCATION
Cloud Era:
BIG APPS
SMALL SERVERS
MANY LOCATIONS

11. Everything works
at small scale
What happens when
something goes wrong
The customer
experience matters
WHY DISTRIBUTED SYSTEMS?
Scale out, up and down predictably
and linearly
Survive server, network or data
center failures
Data locality enables data operations
close to end-users
DISTRIBUTED SYSTEMS
DEVELOPERS OPERATIONS CUSTOMERS SALES

12. The growing hype surrounding
data lakes is causing substantial
confusion in the information
management space
Gartner
Challenge 1 – Isolation of Data

13. Challenge 2 – Consistency of Data
To Be or Not To Be
Consistent?
Understand the
question…
C A
P
X
The CAP Theorem
Dr Eric Brewer
Describes the trade-offs involved in
distributed systems

14. Challenge 3 – Data Gravity
Apps
Services
Lower Latency
&
Higher Bandwidth
Growth
Over Time Data

15. “Perhaps the biggest challenge is that the IoT has the
potential to generate orders of magnitude more data
than any other source in existence today. So, in the
world of the IoT we will test the limits of ‘big.’”
Bill Franks, Chief Analytics Officer for Teradata
Putting Challenges In Perspective

16. manu@basho.com
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