Some statistics on blogs by the people who host them-
1) Tumblr
| blogger |
|
3.00 |
| drupal |
|
1.00 |
| sharepoint |
|
2.20 |
| wordpress |
|
3.6 |
| tumblr |
|
2.20 |
Some statistics on blogs by the people who host them-
1) Tumblr
| blogger |
|
3.00 |
| drupal |
|
1.00 |
| sharepoint |
|
2.20 |
| wordpress |
|
3.6 |
| tumblr |
|
2.20 |
Some official statistics on social media from the owners themselves
1) Facebook-
http://www.facebook.com/press/info.php?statistics
Date -17 Nov 2011
Statistics
People on Facebook
- More than 800 million active users Continue reading “Statistics on Social Media”
Finally a powerful enough cloud computing instance from Amazon EC2 – called CC2 priced at 3$ per hour (for Windows instances) and 2.4$/hour for Linux
It would be interesting to see how SAS, IBM SPSS or R can leverage these
Storage – On the storage front, the CC2 instance type is packed with 60.5 GB of RAM and 3.37 TB of instance storage.
Processing – The CC2 instance type includes 2 Intel Xeon processors, each with 8 hardware cores. We’ve enabled Hyper-Threading, allowing each core to process a pair of instruction streams in parallel. Net-net, there are 32 hardware execution threads and you can expect 88 EC2 Compute Units (ECU’s) from this 64-bit instance type
On a somewhat smaller scale, you can launch your own array of 290 CC2 instances and create a Top500 supercomputer (63.7 teraFLOPS) at a cost of less than $1000 per hour
and
http://aws.amazon.com/hpc-applications/
Cluster Compute Eight Extra Large specifications:
88 EC2 Compute Units (Eight-core 2 x Intel Xeon)
60.5 GB of memory
3370 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc2.8xlarge
Price: Starting from $2.40 per hour
But some caveats
I was reading the amazing Tech Trend 2011 report by IBM at https://www.ibm.com/developerworks/mydeveloperworks/files/app/person/060001TJG2/file/110ccd08-25d9-4932-9bcc-c583868c9f31
What really amazed me is that distortions introduced in Data Visualization even in length of the graphs.
See below and click to enlarge- my notes are in black font, they refer to the length of the weird green bar(?). This I think is one of the worst graphs I have seen this year.
This one is a wee bit different. The music sounds more contemporary and fusion ,East blends West, the direction is both subtle and at times flamboyant, and the acting is notches above the average dance round the tree, laugh like a idiot fare.
Rock Star is the tale of a college dropout (aint they all!) called Jordan / by Ranbir Kapoor musical prodigy who battles personal demons, lady luck , lady love (in the impossible pout of the American fashion model ,Nargis F), and his own musical ambitions. The breathtaking art moves from Kashmir, Prague, Europe and the streets of Delhi University. This one is a taker, breaker, soul shaker. Try getting a sub titled DVD if you dont know Hindi, or atleast dekko some songs streaming free at http://www.saavn.com/search/hindi/album%20Rockstar
Imitiaz Ali http://en.wikipedia.org/wiki/Imtiaz_Ali_(director) does all olde Hindu College alumni proud (including this reviewer)
https://www.youtube-nocookie.com/v/cn1jx_JUpi0?version=3&hl=en_US&rel=0
An interesting use case of technology for better health is HANA Oncolyzer at http://epic.hpi.uni-potsdam.de/Home/HanaOncolyzer
“Build on the newest in-memory technology the HANA Oncolyzer is able to analyze even huge amounts of medical data in shortest time”, says Dr. Alexander Zeier, Deputy Chair of EPIC. Research institutes and university hospital support from HANA Oncolyzer by building the basis for a flexible exchange of information about efficiency of medicines and treatments.
In near future, the tumor’s DNA of all cancer patients needs to be analyzed to support specific patient therapies. These analyses result in medical data in amount of multiple terabytes. “These data need to be analyzed regarding mutations and anomalies in real-time”, says Matthias Steinbrecher at SAP’s Innovation Center in Potsdam. As one of the aims the research prototype HANA Oncolyzer was developed at our chair in cooperation with SAP’s Innovation Center in Potsdam. “The ‘heart’ of our development builds the in-memory technology that supports the parallel analysis of million of data within seconds in main memory”, saysMatthieu Schapranow, Ph.D. cand. at the HPI.
and
research activities result in 500.000 or more data points per patient.
and
With the help of a dedicated iPad application medical doctors can access all data mobile at any location anytime.