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What's After Big Data? 87

gthuang88 writes: As the marketing hype around "big data" subsides, a recent wave of startups is solving a new class of data-related problems and showing where the field is headed. Niche analytics companies like RStudio, Vast, and FarmLink are trying to provide insights for specific industries such as finance, real estate, and agriculture. Data-wrangling software from startups like Tamr and Trifacta is targeting enterprises looking to find and prep corporate data. And heavily funded startups such as Actifio and DataGravity are trying to make data-storage systems smarter. Together, these efforts highlight where emerging data technologies might actually be used in the business world.
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What's After Big Data?

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  • looking to find and prep corporate data

    I read as "looking to find and grep corporate data"...

    • In this sense, what's "after big data" is a lovecraftian digital doomhoover wrought by the world's spy agencies.
    • RStudio is an IDE for the R language. When an author conflates that with whatever those other things are, you can be fairly sure whatever he's saying is likely to be up there on the bullshit scale.
  • Bigger data (Score:5, Funny)

    by penguinoid ( 724646 ) on Friday August 22, 2014 @12:28PM (#47730403) Homepage Journal

    After big data comes bigger data. Why, did you think otherwise?

    • by Anonymous Coward
      Bigger data
      Super data
      Mega data
      Plaid data
    • by Tablizer ( 95088 )

      What's next after Big Data?

      Scientists recently uncovered dark data while trying to download information from a blackhole discovered at the Amazon headquarters marketing wing.

    • I thought the thing I had in the 1990s was big data. Surely we must be in the humongous data age now.
    • Mega Info
    • After big data comes bigger data. Why, did you think otherwise?

      No, but what comes next?

      Bragging.. My data is bigger than your data...

      Followed by Big Data enhancement pills and tools sold though SPAM E-mails that promise noticeable results in 1 week or your money back.

    • It's obviously, The Big O [].

  • by enjar ( 249223 ) on Friday August 22, 2014 @12:32PM (#47730433) Homepage

    It's a perfectly cromulent buzzword

  • Literally everyone wants nothing more than a big D.
  • Common sense (Score:4, Interesting)

    by WaffleMonster ( 969671 ) on Friday August 22, 2014 @12:36PM (#47730473)

    After big data they will hire people to think and actually produce useful/actionable insights.

    After that they will hire thinking machines.

    After that .. with the last vestiges of humanity in zoo's for the amusement of machines .. it's anyone's guess.

    • by s.petry ( 762400 )

      After big data they will hire people to think and actually produce useful/actionable insights.

      Haha, you wish!

      Marketing will just start a new buzzword trend. Investors will all dump shit tons of money into projects believing it's the new ".com" and try to cash in. Management will think it's the "next big thing" sheep will perform their normal function of following the herd. Techies will all scratch their heads wondering why people continue to fall into the game of hype, and continue to believe that one day people will learn.

      Techies don't pull the purse strings, and until that changes the market wi

    • Common sense will never come into style, and "they" will never hire people to think and actually produce useful/actionable insights. You see, it's a bit of a catch-22. No one will make good decisions until someone sensible is in charge, but we'll never put sensible people in charge until we've started making good decisions. It's ignorant sociopaths all the way down.

  • Think Minority Report-style marketing.
  • What's after? (Score:3, Interesting)

    by makotech222 ( 1645085 ) on Friday August 22, 2014 @12:42PM (#47730525)
    Big Garbage(can). Most of the data is worthless
    • Big Garbage(can). Most of the data is worthless

      Yes, but the trick is finding the bits of it that are not worthless, and doing it in such a way you can make a profit.

      It's like mining when from a guy with a shovel, to large industrial sized drag lines that can scoop up a pile of dirt the size of a house.

      The REAL money isn't in "big data" but about collecting and refining it into little bits of data.

      • I thought the idea of big data was that looking at ALL the data obviated the need to sample the data and all the attendant issues that come with that. Ferreting out bits and pieces of the big data set is a step backward from the idea of big data. Real numbers people can jump in here and set me straight.

        However, my biggest hope for what is after big data is no one ever again having the title "Data Scientist."

  • More buzzwords conjured up by marketing wannabe's.

    I'd love these buzzwords creators to define their buzzwords. Would make our world less clueless and a more informative race.

    if(Data >= 1TB)
            bBigData = true;

    Was that so hard mr.Marketing?

  • by globaljustin ( 574257 ) on Friday August 22, 2014 @12:50PM (#47730595) Journal

    TFA's question answered is in headline

  • by MiKM ( 752717 ) on Friday August 22, 2014 @12:58PM (#47730651)
    Cloud Data. Now if you'll excuse me, I'm going to create a phony website to attract suckers investors.
  • by GameboyRMH ( 1153867 ) <> on Friday August 22, 2014 @01:03PM (#47730695) Journal

    Deep Learning is the next marketing buzzword, perhaps with good reason this time.

  • How do you want it ? Rare, medium or well done ?
    • Re: (Score:2, Insightful)

      by Anonymous Coward

      Rare. I prefer to have Big Macs as rarely as possible.

  • Of course!

  • by DarkOx ( 621550 ) on Friday August 22, 2014 @01:32PM (#47731063) Journal

    The problem with 'Big Data' is everyone is trying to use it as a substitute for actual hypothesizing and experimentation.

    I am not suggesting it isn't useful, it is, and it can be a huge help in identifying non-intuitive relationships that may exist. Its not being marketed that way though! Everyone is trying to sell it as the solution to all their unresolved problems and knowledge gaps.

    At the end of the day all it can ever show is correlation, never causation. All the fancy AIs we add on top are really just correlation engines as well. One day real-soon-now WATSON or something like it will diagnose your cancer. It won't 'discover' the cure though, it will just apply the 'KNOWN' treatment that statistically correlates with the best outcome, hopefully excluding some which correlate with especially un pleasant side effects.

    Same is true with the financial markets. Big Data alone will never discover a unified theory that explains market behavior. It will probably make a handful of people stupid amounts of money based again or event correlation and speed. As long as those are the drivers though we will remain forever at risk of sudden meltdowns.

    • Very true.. Wish I had points today!

      Mod parent up!

    • Agreed 1000 times over. The same problem Big Data has faces statistics in general... a lot of people have been convinced that a tool created to aid human/scientific insight is now the insight itself. And these big-data/statistical insights are rarely useful, except in squeezing out extra business pennies at the expense of human agency.
    • by aralin ( 107264 )

      The way mind comes from input to knowledge is first through "analysis of data", then sorting the data through search for "analogy" and in the end "synthesis" of the sorted data based on new hypothesis to verify correctness of understanding. I'd call those Map / Reduce / Produce. Many people are forgetting the last part, the verification. That turns the whole process into experimentation and results in new hypothesis or true understanding.

      Big Data is really good at the Analysis and Analogy part of the proces

  • Judging from all the new aggregated travel sites that say they search "all travel sites to get you the best price", my guess is an aggregated big data warehouse that searches "all big data to get you the best target profile for your advertising. Canoe(tm). Search one and done, the best profile for the right price. Guaranteed."

  • From the linked piece:

    In hindsight, his remark was a clear sign that the marketing hype around "big data" had peaked.

    This is true, and it provides the context missing from TFS: "Big Data" is over as a marketing term. But as technological term and as far as actual implementation, it is the status quo and forevermore will be.

    From a technological perspective, "Big Data" has a simple definition: more data than can be stored on a single machine. And this need will only grow as hard drives and maybe even SSDs p []

  • Ads on the insides of your eyelids, random "disappearances", a stock market crash or two, a bunch of middle-aged White guys who achieved one thing and are now kicking back and raking it in as pundits, WW3, roving bands of thugs allied with motorcycle gangs terrorizing the nation, or any number of other random things that might be benign or catastrophic.

  • by UnknownSoldier ( 67820 ) on Friday August 22, 2014 @01:43PM (#47731217)

    ... distributed across a multiple heterogeneous platforms.

  • /dev/null At least on Linux machines where we solved this problem decades ago.

    If you have windows, that recycle bin is going to be REALLY full and I'm not sure how you are going to empty it with just a mouse.

  • What's After Big Data?

    Big Brother, and after he finds out what you are guilty of: the Big House. Then comes Big Love with Big Bubba and his Big Little Bubba. Next is Big Money for Big Medical to fix up your Big Rectum.

  • uhh ... "big data" has been around since the 1940s, and solved. It is surprising how many scamming/snake oil companies are out there
  • Coming up with my own startup is just too hard to do. Instead, can one of you think of a cool technology I can half-assed write in the hopes of getting a huge payout from some monolithic corp decides that they-too want to jump into the hot market of the moment?

  • Big Spock
  • Full disclosure/shameless plug: I work internal IT for ExtraHop Networks.

    Analytics platforms like ExtraHop do the analysis on streams of data in real-time so that what gets sent to the Big Data store (such as Elasticsearch) is structured or clean data that's more immediately useful.

I am more bored than you could ever possibly be. Go back to work.