Everyone wants to launch a Big Data project, but there's still lots of confusion as to how. The key, as this presentation shows, is to minimize the cost of failure and increase iteration, using a strategy based on using well-known open-source tools.

1. MongoDB Inc. Proprietary and Confidential
Big Data for the Rest of Us
VP, Marketing & Business Development, MongoDB
Matt Asay

2. 2
Not the Future
“The relational database market is a $9
billion a year market. I want to shrink it to
$3 billion and take a third of the market.”
- Marten Mickos

3. 3
This Is the Future
“The biggest category of winners is the Big Data
practitioners. These are the business people that have
identified opportunities to use data to create new
opportunities or disrupt legacy business models. We
think this opportunity is so profound, we believe that
the dividing line between winners and losers in the
business world over the next decade will hinge on a
company’s ability to leverage data as an asset.”
- Peter Goldmacher, Cowen & Co.

4. 4
What’s at Stake
Enable a Generation of Innovative,
Modern Applications Previously
Impossible Or Too Difficult to Achieve

5. The Big Data Unknown

6. 6
Top Big Data Challenges?
Translation?
Most struggle
to know what
Big Data is,
how to manage
it and who can
manage it
Source: Gartner

7. 7
• More than 90% of today’s data was created in the
last 2 years
• Moore’s Law for data: Doubles at regular intervals
Big Data: Volume Matters

8. 8
Big(ger) Is the New Normal

9. 9
Volume Is Not the Problem
“Of Gartner's "3Vs" of big data (volume, velocity, variety), the
variety of data sources is seen by our clients as both the greatest
challenge and the greatest opportunity.”
- Forrester, 2014
* From Big Data Executive Summary of 50+ execs from F100, gov orgs
What are the primary data issues driving you to consider Big Data?*
Data Variety (68%)
Data Volume (15%)
Other Data (17%)
Diverse, streaming or new data types
Greater than 100TB
Less than 100TB

10. 10
Modern, “Big” Data Is Messy

11. 11
Data Now Looks Like This

12. 12
And This

13. 13
And This

14. 14
• 90% of the world’s
data was created in
the last two years
• 80% of enterprise
data is unstructured
• Unstructured data
growing 2X faster
than structured
Time to Rethink the Solution

15. Innovation As Iteration

16. “I have not failed. I've just found 10,000 ways that won't work.”
― Thomas A. Edison

17. 17
Back in 1970…Cars Were Great!

18. 18
So Were Computers!

19. 19
Including the Relational Database

20. 20
Lots of Great Innovations Since 1970

21. 21
Legacy Data Infrastructure
Makes Development Hard
Relational
Database
Object Relational
Mapping
Application
Code XML Config DB Schema

22. 22
And Even Harder To Iterate
New
Table
New
Table
New
Column
Name Pet Phone Email
New
Column
3 months later…

23. 23
So…Use Open Source

24. 24
Big Data != Big Upfront Payment

25. 25
Shouldn’t Be Penalized for Success
“Clients can also opt to run zEC12 without a raised
datacenter floor -- a first for high-end IBM mainframes.”
IBM Press Release 28 Aug, 2012

26. 26
Spoiled for choice
DB-Engines.com Database Ranking
Ranking Database Type Score Changes
1 Oracle Relational 1514.08 22.28
2 MySQL Relational 1292.67 2.45
3 Microsoft SQL Relational 1210.43 5.15
4 PostgreSQL Relational 230.23 -4.82
5 MongoDB Document 214.34 14.35
6 DB2 Relational 184.58 -2.74
7 Microsoft Access Relational 142.76 -3.72
8 SQLite Relational 90.17 -2.8
9 Cassandra Wide Column 78.72 0.63
10 Sybase Relational 78.14 -3.42

27. 27
Remember the Long Tail?

28. 28
It Didn’t Work Out So Well

29. 29
Use Popular, Well-Known Technologies
Source: Silicon Angle, 2012

30. 30
The Data Scientist Is You
“Organizations already have people who know
their own data better than mystical data
scientists….Learning Hadoop is easier than
learning the company’s business.”
(Gartner, 2012)

31. @mjasay