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.
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
Big Data for the Rest of Us - OpenWest 2014 - Matt Asay
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
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
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
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
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)