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Every research field is now a data science field
Last
few decades
Thousand
years ago
Today and the FutureLast few
hundred years
2
2
2.
3
4
a
cG
a
a
Simulation of
complex phenomena
Newton’s laws,
Maxwell’s equations…
Description of natural
phenomena
Unify theory, experiment and
simulation with large
multidisciplinary Data
Using data exploration and
data mining
(from instruments, sensors,
humans…)
Distributed Communities
Programming tools: Scala, IPython, Azure ML, …
Frameworks: Spark, Hadoop, Yarn, HDInsight, Reef, Twister, Brisk
Software Defined Storage
Software Defined Networks
Hardware Abstraction/Virtualization
Container and Distributed Cluster OS (Docker, Mesosphere, K8S)
http://tce.technion.ac.il/files/2012/06/Scott-shenker.pdf
www.opennetsummit.org/pdf/2013/presentations/albert_greenberg.pdf
http://www.cs.princeton.edu/~jrex/papers/pyretic-login13.pdf
The IPython notebook deployed on a VM.1. Create a coreos VM and open the https port 4432. Login and issue this one command
$docker run -d -p 443:8888 -e "PASSWORD=****" ipython/scipyserver
3. Go to https://yourVMaddress and log in.
• Many Examples
• Challenges: • I only talked about the Analysis … but it there is more
• Sustainability
• Sharing
• Reproducible Science
Data
Acquisition &
modelling
Collaboration
and
visualisation
Analysis &
data mining
Dissemination
& sharing
Archiving and
preserving