#bytescrolls

Pages

Home
TIMELINE

Showing posts with label bigdata. Show all posts

Showing posts with label bigdata. Show all posts

Data and Brain

#bigdata

Came across an interesting presentation on Using Data to Understand Brain.

Using Data to Understand the Brain from jakehofman

Is it possible to read your brain? hmmm

I am a little two-faced with these riddles....

Posted by Haris at 12:02 AM 0 comments

Labels: bigdata, cloud computing, data integration

Older Posts Home

Subscribe to: Posts (Atom)

@harisgx

Author

haris

a programmer

Links

Linkedin
Twitter

Subscribe

Posts

Posts

All Comments

All Comments

Total Pageviews

Tags

java hadoop web 2.0 REST programming internet opensocial database distributed systems javascript open source algorithms cloud computing semantic web webservice apache architecture big data codes experiments groovy json ria API adobe air ajax comet data access data integration designpatterns eclipse etl graph hibernate hive indexing information linux lucene map reduce nosql scala security soa spring technical document technology ui web 3.0 widget .net ASP.Net BPM GWT JCR JVM OpenID RCP RPC WCF XML ambient aop avro bigdata bloomfilter business closures cybernetics e-commerce eii event processing extjs future computing gadgets geo-spatial github google griffon guice hbase ilm information graphics intelligence invisible iphone jBPM jibx jquery networks oAuth objectiveC open solaris orient-db orientdb orm osgi parallel patterns pramati prometheus protocol buffers rdf recommendation ruby silverlight sling social spark standards storage tech ted twitter unicode ux zeppelin

Popular Posts

Interesting uses of sun.misc.Unsafe

Inspired from the question that found in stackoverflow, I started looking up for the uses. I found some pretty interesting ones... VM ...
Orient DB - A simple ETL use case note

#orientdb #graph #etl #java #database As someone who is familiar with graph data structures would like to know how we can map real-world ...
Run Datastax Graph in a docker container for windows hosts

#docker #datastax There are some docker images available here . If you don't have docker, download and install docker toolbox from her...
Nodeable - Realtime Insights

#Nodeable is a good example of generating #insights from #bigdata or the real time trickle feeds. It uses Twitter's Storm for the pro...
Consistent Hashing

What is a consistent hash function? A consistent hash function is one which changes minimally as the range of function changes. What...
Creating index in Hive

Simple: CREATE INDEX idx ON TABLE tbl(col_name) AS 'Index_Handler_QClass_Name' IN TABLE tbl_idx; As to make pluggable indexin...
Tinker, Tailor, Soldier, Spy and The Perspicacious "Collusion"

Collusion! A secret agreement between two or more parties for a fraudulent, illegal, or deceitful purpose. In this battleground of p...
An account of Open Source Summit 2008 Hyderabad

During this weekend I attended the Open source Summit held at IIIT Hyderabad which was on 13-14 (I was unable to attend the event on the se...
Machine generated data

At first, the term " machine-generated data " can be confusing. One would think, every data is (or are?) generated from one de...
Design Patterns : Bridge

Bridge decouples the abstraction from implementation so that the two can vary independently. Client which uses the classes inheriting the ab...

Powered by Blogger.