Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Platforms for Data Science
Search
Deepak Singh
October 01, 2011
Technology
3
190
Platforms for Data Science
Talk given at the "Computing on the Brink" series
Deepak Singh
October 01, 2011
Tweet
Share
More Decks by Deepak Singh
See All by Deepak Singh
Changing the Calculus of Containers (Datadog Dash)
mndoci
2
100
Platforms for scientific data analysis
mndoci
3
98
FGED Keynote
mndoci
3
91
Open Mic Science - May 7, 2012
mndoci
4
1.3k
Talk at "Genome Informatics Alliance 2012" meeting
mndoci
1
250
A Platform for Data Science
mndoci
6
14k
Intel Theater Presentation @ SC11
mndoci
6
170
Talk at West Coast Association of Shared Directors meeting
mndoci
3
150
A platform for data science - Systems Bioinformatics Workshop
mndoci
3
110
Other Decks in Technology
See All in Technology
Prox Industries株式会社 会社紹介資料
proxindustries
0
260
Кто отправит outbox? Валентин Удальцов, автор канала Пых
lamodatech
0
330
PHP開発者のためのSOLID原則再入門 #phpcon / PHP Conference Japan 2025
shogogg
4
640
TechLION vol.41~MySQLユーザ会のほうから来ました / techlion41_mysql
sakaik
0
170
AIエージェント最前線! Amazon Bedrock、Amazon Q、そしてMCPを使いこなそう
minorun365
PRO
13
4.8k
[TechNight #90-1] 本当に使える?ZDMの新機能を実践検証してみた
oracle4engineer
PRO
3
160
Definition of Done
kawaguti
PRO
6
470
25分で解説する「最小権限の原則」を実現するための AWS「ポリシー」大全 / 20250625-aws-summit-aws-policy
opelab
9
1k
Claude Code Actionを使ったコード品質改善の取り組み
potix2
PRO
6
2.1k
エンジニア向け技術スタック情報
kauche
1
230
BigQuery Remote FunctionでLooker Studioをインタラクティブ化
cuebic9bic
3
260
Observability в PHP без боли. Олег Мифле, тимлид Altenar
lamodatech
0
330
Featured
See All Featured
Designing Experiences People Love
moore
142
24k
Java REST API Framework Comparison - PWX 2021
mraible
31
8.6k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
46
9.6k
Done Done
chrislema
184
16k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
Optimising Largest Contentful Paint
csswizardry
37
3.3k
Thoughts on Productivity
jonyablonski
69
4.7k
How GitHub (no longer) Works
holman
314
140k
Automating Front-end Workflow
addyosmani
1370
200k
YesSQL, Process and Tooling at Scale
rocio
173
14k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.7k
Transcript
There is no magic There is only awesome D e
e p a k S i n g h Platforms for data science
bioinformatics image: Ethan Hein
3
collection
curation
analysis
what’s the big deal?
None
Source: http://www.nature.com/news/specials/bigdata/index.html
Image: Yael Fitzpatrick (AAAS)
Image: Yael Fitzpatrick (AAAS)
lots of data
lots of people
lots of places
constant change
we want to make our data more effective
versioning
provenance
filter
aggregate
extend
mashup
human interfaces
None
image: Leo Reynolds
hard problem
really hard problem
so how do get there?
information platforms
Image: Drew Conway
dataspaces Further reading: Jeff Hammerbacher, Information Platforms and the rise
of the data scientist, Beautiful Data
the unreasonable effectiveness of data Halevy, et al. IEEE Intelligent
Systems, 24, 8-12 (2009)
accept all data formats
evolve APIs
beyond databases and the data warehouse
data as a programmable resource
data is a royal garden
compute is a fungible commodity
optimizing the most valuable resource
compute, storage, workflows, memory, transmission, algorithms, cost, …
people Credit: Pieter Musterd a CC-BY-NC-ND license
Image: Chris Dagdigian
my bias
cloud services
distributed systems
scale
global
consumption models
on-demand
what is the value of your data?
None
None
Credit: Angel Pizzaro, U. Penn
mapreduce for genomics http://bowtie-bio.sourceforge.net/crossbow/index.shtml http://contrail-bio.sourceforge.net http://bowtie-bio.sourceforge.net/myrna/index.shtml
None
Bioproximity http://aws.amazon.com/solutions/case-studies/bioproximity/
None
None
30,472 cores
$1279/hr
http://cloudbiolinux.org/
http://usegalaxy.org/cloud
in summary
large scale data requires a rethink
data architecture
compute architecture
distributed, programmable infrastructure
cloud services
remove constraints
can we build data science platforms?
there is no magic there is only awesome
[email protected]
Twitter:@mndoci http://slideshare.net/mndoci http://mndoci.com Inspiration and ideas from Matt Wood&
Larry Lessig Credit” Oberazzi under a CC-BY-NC-SA license