SlideShare a Scribd company logo
https://github.com/glennblock
https://twitter.com/gblock
“I should be
tweeting"
3
Make machine data accessible, usable
and valuable to everyone.
Platform for Machine Data
Any Machine Data
HA Indexes
and Storage
Search and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-time
Business
Insights
Commodity
Servers
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
DATA
15,000 BC – Pictures
Lascaux, France
6000 BC – Symbols
3,500 BC – Language
1,275 BC – Papyrus
1st - 13th Century - Codex
13th Century – Movable type
15th Century – Printing press
19th to 20th century
Babbage Analytical engine
1936 – Turing machine
1945 – ENIAC
1947 – The first bug
1977 - Arpanet
1990s Internet
Phones and Tablets
RFID
Cloud
Services
New consumer devices
23
90 percent of all the data in the
world has been generated over
the last two years
source: sciencedaily.com
Every day 2.5 quintillion bytes
of data is generated
1 quintillion = 1 + 18 zeros!
57.5 billion 32 GB iPads
source: storagenewsletter.com
2.7 zettabytes exist in the digital
universe
1 zettabyte = 1 + 21 zeros!
42zb = All human speech digitized
source: highscalability.com
How big is big?
That’s A LOT of data!
How do you harness it?
This is what big data
is really about.
Asking questions and
getting answers
Massive amounts of data.
Machine generated
VOLUME
Data is coming from a multitude of sources
Mix of structured and un-structured
(JSON, XML, CSV, Plain Text)
Need a way to store it and and query it
VARIETY
VARIETY
Log files
Activity Feeds
Emails
Device Streams
Audio Files
Videos
Data arrives at many different frequencies
Need to be able to process real time.
VELOCITY
Not all data that is stored is useful.
Need to identify the useful data
Need to wade through all the noise
VERACITY
SOLUTIONS
Map/Reduce
function map(String name, String document):
// name: document name
// document: document contents
for each word w in document:
emit (w, 1)
function reduce(String word, Iterator partialCounts):
// word: a word
// partialCounts: a list of aggregated partial counts
sum = 0
for each pc in partialCounts:
sum += ParseInt(pc)
emit (word, sum)
Hi scale and availability databases
Distributed processing
of large datasets
Data Visualization and analysis
End to end tools
More information
www.mongodb.org
www.memsql.com
cassandra.apache.org
hadoop.apache.org
www.tableausoftware.com
www.elasticsearch.org
splunk.com
@gblock http://github.com/glennblock
http://www.flickr.com/photos/11812960@N04/4050576435

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Getting your head around big data

Editor's Notes

  1. At Splunk, our mission is to make machine data accessible, usable and valuable to everyone. Andthis overarching mission is what drives our company and product priorities.
  2. Splunk is the leading platform for machine data analytics with over 5,200 organizations using Splunk (as of 7/1/13) – from tens of GB to many tens of TBs of data PER DAY.Splunk software is optimized for real-time, low latency and interactivity.Splunk software reliably collects and indexes all the streaming data from IT systems and technology devices in real-time - tens of thousands of sources in unpredictable formats and types.The value from Splunking machine data is described as Operational Intelligence. This enables organizations to: 1. Find and fix problems dramatically faster2. Automatically monitor to identify issues, problems and attacks3. Gain end-to-end visibility to track and deliver on IT KPIs and make better-informed IT decisions4. Gain real-time insight from operational data to make better-informed business decisions
  3. The Lascaux cave paintings record the first known narrative stories. Telling stories through visualization of eventsMike Bostock,D3 and the NewYork Times VizCSS had to come from somewhere
  4. Jiahu, China