6 bold pre­dic­tions for Big Data in 2014

‘ Tis the sea­son when tem­per­a­tures tum­ble, shop­pers stum­ble, and prog­nos­ti­ca­tors fum­ble, of­ten. Will these Big Data prophe­cies come true?

InformationWeek - - Contents - BY JEFF BER­TOLUCCI

‘ Tis the sea­son when tem­per­a­tures tum­ble, shop­pers stum­ble, and prog­nos­ti­ca­tors fum­ble, of­ten. Will these Big Data prophe­cies come true?

How will Big Data evolve in 2014? The fu­ture is any­one’s guess, of course, but we thought we’d com­pile a tasty hol­i­day as­sort­ment of prog­nos­ti­ca­tions from ex­ec­u­tives work­ing in the Big Data trenches. So with­out fur­ther de­lay, here they are — six Big Data pre­dic­tions for next year:

“More Hadoop projects will fail than suc­ceed.”

That scary as­sess­ment is from Gary Naka­mura, CEO of Con­cur­rent, a Big Data ap­pli­ca­tion plat­form com­pany. In a De­cem­ber 12 blog post, Naka­mura made a few 2014 fore­casts, in­clud­ing this not-so-rosy as­sess­ment of Hadoop:

“More Hadoop projects will be swept un­der the rug as businesses de­vote ma­jor re­sources to their Big Data projects be­fore do­ing their due dili­gence, which re­sults in a costly, dis­il­lu­sion­ing project fail­ure. We may not hear about most of the fail­ures, of course, but the suc­cesses will clearly demon­strate the im­por­tance of us­ing the right tools. The right Big Data tool­kit will en­able or­ga­ni­za­tions to eas­ily carry for­ward the suc­cess of these projects, as well as fur­ther insert their value into their busi­ness pro­cesses for mar­ket ad­van­tage.”

En­ter­prises will fo­cus less on Big Data and more on step­ping up their data man­age­ment game

“There’s no doubt that com­pa­nies’ pur­suits of Big Data ini­tia­tives have the best in­ten­tions to im­prove op­er­a­tional de­ci­sion mak­ing across the en­ter­prise. That be­ing said, com­pa­nies shouldn’t get stuck on the term ‘Big Data.’ The true ini­tia­tive and what they ul­ti­mately need to be con­cerned with is how they’re im­ple­ment­ing bet­ter data man­age­ment prac­tices that ac­count for the va­ri­ety and com­plex­ity of the data be­ing ac­quired for anal­y­sis,” Scott Sch­lesinger, a Se­nior Vice Pres­i­dent for con­sult­ing and out­sourc­ing gi­ant Capgem­ini, told

In­for­ma­tion­Week via e-mail.

The pace of Big Data in­no­va­tion in the open-source com­mu­nity will ac­cel­er­ate in 2014

“New open-source projects like Hadoop 2.0 and YARN, as the next-gen­er­a­tion Hadoop re­source man­ager, will make the Hadoop in­fra­struc­ture more in­ter­ac­tive. New open-source projects like STORM, a stream­ing com­mu­ni­ca­tions pro­to­col, will en­able more real-time, on­de­mand blend­ing of in­for­ma­tion in the Big Data ecosys­tem,” wrote Quentin Gal­li­van, CEO of busi­ness an­a­lyt­ics soft­ware firm Pen­taho, in a blog post.

The need for au­to­mated tools will be­come in­creas­ingly crit­i­cal

“It seems that the more data we have, the more we want,” John Joseph, VP of prod­uct mar­ket­ing for an­a­lyt­ics soft­ware firm Lavas­torm An­a­lyt­ics told

In­for­ma­tion­Week via e-mail. “But as data vol­umes in­crease, the need for pat­tern match­ing, sim­u­la­tion, and pre­dic­tive an­a­lyt­ics tech­nolo­gies be­come more cru­cial. En­gines that can au­to­mat­i­cally sift through the grow­ing mass of data, iden­tify is­sues or op­por­tu­ni­ties, and even take au­to­mated ac­tion to cap­i­tal­ize on those find­ings will be a ne­ces­sity.”

Be­ware, Or­a­cle! 2014 will be the year of SQL on Hadoop

“I think you’ll see people start build­ing in­ter­ac­tive ap­pli­ca­tions on the Hadoop in­fra­struc­ture. And what I mean by that — and I think this is prob­a­bly the most con­tro­ver­sial thing — is that people will start re­plac­ing their first-gen­er­a­tion re­la­tional data­bases with SQL on Hadoop,” said Monte Zweben, CEO of SQL-on-Hadoop data­base startup Splice Ma­chine, in a phone in­ter­view with


Big Data flies to the cloud

“Big Data has gained a lot of trac­tion in 2013 but com­plex tech­nolo­gies are keep­ing many businesses from get­ting their so­lu­tions into pro­duc­tion and gen­er­at­ing a pos­i­tive ROI. In 2014, businesses will look be­yond the hype and turn to cloud so­lu­tions that gen­er­ate fast time to value and do not re­quire highly spe­cial­ized ded­i­cated skill sets, like Hadoop, to man­age. 2014 will be the year that Big Data moves from buzz­word to busi­ness im­per­a­tive,” said Sandy Steier, Co-founder and CEO of cloud-based an­a­lyt­ics firm 1010data, via e-mail.

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