There are now dozens of frameworks like Kendo, Sencha, jQuery Mobile, AngularJS, Ember, Backbone, Meteor JS, and many more, all ready to handle the events and content for your Web apps and pages.
Those are merely the Web apps. There are also a number tuned to offering cross-platform development for the smartphone/tablet world. Technologies like NativeScript, PhoneGap, and Sencha Touch are a few of the options for creating apps out of HTML5 technology
Hot: CSS frameworks
Not: Generic Cascading Style Sheets
Once upon a time, adding a bit of pizzazz to a Web page meant opening the CSS file and including a new command like
font-style:italic. Then you saved the file and went to lunch after a hard morning's work. Now Web pages are so sophisticated that it's impossible to fill a file with such simple commands. One tweak to a color and everything goes out of whack. It's like they say about conspiracies and ecologies: Everything is interconnected.
That's where CSS frameworks like SASS and its cousins Compass have found solid footing. They encourage literate, stable coding by offering programming constructs such as real variables, nesting blocks, and mix-ins. It may not sound like much newness in the programming layer, but it's a big leap forward for the design layer.
Flash has been driving people crazy for years, but the artists have always loved the results. The antialiased rendering looks great, and many talented artists have built a deep stack of Flash code to offer sophisticated transitions and animations.
Hot: Almost big data (analysis without Hadoop)
Not: Big data (with Hadoop)
Everyone likes to feel like the Big Man on Campus, and if they aren't, they're looking for a campus of the appropriate size where they can stand out. It's no surprise then that when the words "big data" started flowing through the executive suite, the suits started asking for the biggest, most powerful big data systems as if they were purchasing a yacht or a skyscraper.
The funny thing is, many problems aren't big enough to use the fanciest big data solutions. Sure, companies like Google or Yahoo track all of our Web browsing; they have data files measured in petabytes or yottabytes. But most companies have data sets that can easily fit in the RAM of a basic PC. I'm writing this on a PC with 16GB of RAM -- enough for a billion events with a handful of bytes. In most algorithms, the data doesn't need to be read into memory because streaming it from an SSD is fine.
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