If you want to see the future of Big Data, look no further than the nearest gaming-development studio. It isn’t all fun and first-person-shooting. Game developers are the sentinels of a variety of advanced IT techniques, placing them in front of the general IT population with regard to using real-time analytics and cloud computing, among other areas.
Salesforce 4Q Revenues Up 32% With $3.05B For The Fiscal Year
Salesforce.com has announced its fourth-quarter earnings with revenues of $835 million, up 32%, compared to last year. Non-GAAP earnings per share were 51 cents. Financial analysts had expected revenues ranging from $825 million to $830 million. EPS was estimated to come in at 40 cents.
via Salesforce 4Q Revenues Up 32% With $3.05B For The Fiscal Year | TechCrunch.
The 5 Commandments Of Data And Why Analytics Efforts Are Still A Big Old Mess
Data has to be a strategic asset. The presence of consultants at a conference like Strata shows how much confusion people still have in realizing how to get the value that vendors promise in such bountiful amounts
via The 5 Commandments Of Data And Why Analytics Efforts Are Still A Big Old Mess | TechCrunch.
I don’t have patience to watch people talk but it sounds like data analytics might be a lucrative field to be in right now.
Smartphone Screen Real Estate: How Big Is Big Enough?
First, let’s talk small. At just 3.5 inches, the iPhone 4 (and earlier) is relatively small compared to most higher-end phones on the market, yet it’s immensely popular. (Technically, the iPhone 5 has a 4-inch screen, but it’s just longer–not wider–so that doesn’t really count.) Apparently, then, that’s a good baseline for an acceptable screen size for a large swathe of the mobile market.
via Smartphone Screen Real Estate: How Big Is Big Enough? – HotHardware.
US hackers attacked military websites, says China’s defence ministry
The White House has said that it has taken its concerns about cyber-theft to the highest levels of China’s government. China denied the allegations, saying it was also the victim of cyber attacks.
via BBC News – US hackers attacked military websites, says China’s defence ministry.
Introducing the HTML5 Hard Disk Filler™ API
The HTML5 Web Storage standard was developed to allow sites to store larger amounts of data (like 5-10 MB) than was previously allowed by cookies (like 4KB).
localStorage
is awesome because it’s supported in all modern browsers (Chrome, Firefox 3.5+, Safari 4+, IE 8+, etc.).
via Introducing the HTML5 Hard Disk Filler™ API » Feross.org.
LG has no plans for Windows Phone 8 handsets
The Korean consumer electronics manufacturer remains open to using Microsoft’s mobile operating system, but doesn’t see a huge demand for the product.
via LG has no plans for Windows Phone 8 handsets | Mobile World Congress – CNET Reviews.
A New Approach to Databases and Data Processing
The simplest way to handle more data using more cores (whether on a single machine or in cluster) is to partition it into disjoint subsets, and work on each subset in isolation. In the database world this is called sharding, and it makes scaling relatively simple; only downside is -— it makes writing compellingly complex applications hard.
Forgotten by the Future, Some Take the Internet Into Their Own Hands
The next step, after raising half a million pounds from shareholders, is to convince Lancastrians to pony up about fifty dollars a month for internet service. (Those who invest £1500 or more can get a year’s free service, a tax credit of 30%, and the option to sell the entire investment back in 2016 at full value.) This isn’t AOL dial-up: customers will have access to a blazing fast 1 gigabit connection, something that many city-dwellers, myself included, would covet.
Amdahl’s law
Amdahl’s law is a model for the relationship between the expected speedup of parallelized implementations of an algorithm relative to the serial algorithm, under the assumption that the problem size remains the same when parallelized. For example, if for a given problem size a parallelized implementation of an algorithm can run 12% of the algorithm’s operations arbitrarily quickly while the remaining 88% of the operations are not parallelizable, Amdahl’s law states that the maximum speedup of the parallelized version is 1/1 – 0.12 = 1.136 times as fast as the non-parallelized implementation.