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Vanessa Vaile

LAK11: Big Data Small Data « Viplav Baxi's Meanderings - 0 views

learnos.wordpress.com/...lak11-big-data-small-data

data lak11 analytics week2 tools connectivism #lak11 #evomlit education

shared by Vanessa Vaile on 23 Jan 11 - No Cached
  • which data is more appropriate - BIG or small
  • most discussion about big data centres on quantity
  • other elements you mention – implication, new models, new decision making approaches – all flow from this abundance of data.
  • ...15 more annotations...
  • Increased data quantity requires new approaches
  • Is small beautiful? Look at the following links. Big Data, Small Data New Age of Innovation (Prahalad) So you like Big Data
  • reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
  • Secondly, strategies designed on BIG data
  • may overpower small data strategies
  • Thirdly, BIG data also has BIG impacting factors.
  • Fourthly, actions taken on BIG data will have big consequences,
  • Lastly, if everybody, big or small, started using BIG analytics, to make decisions
  • companies would anyway lose the competitive differentiator that analytics brings to them.
  • Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
  • defining patterns that emerge from very small pieces of data (e.g. synchronicity)
  • how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
  • at the other end it embraces how small changes can cause long term variations
  • not easy to analyze the small data
  • data that is small enough not to be generalizable
Tony Searl

Nothing New About Asking Questions. The Right Ones. - Neoteny - 0 views

tonysearl.posterous.com/out-asking-questions-the-right

questions #lak12 BD BigData analytics data tools learning connectivism

shared by Tony Searl on 05 Feb 12 - No Cached
  • Tony Searl on 05 Feb 12
     
    There are plenty of reasons to be skeptical about the BD market. But big data probably deserves a place in overall enterprise IT strategy for generating business insight. Best practices include generating a list of important challenges or questions that the current approach to data does not address. Could big data deliver the answers enterprises are looking for? If so, then it's all about discipline. A disciplined, targeted approach to big data - one focused on answering very specific questions. (my emphasis - I'll get to those later)
Tony Searl

Just to Clarify: Stories are the Last Mile in Big Data - 3 views

khammond.blogspot.com.au/...are-last-mile-in-big-data.html

data #LAK12 analytics

shared by Tony Searl on 07 Feb 12 - No Cached
  • Once configured, the system is then able to generate stories at scale without any further human intervention.
    • Tony Searl
      Tony Searl on 07 Feb 12
       
      anyone else have a problem with this?
  • For any pool of data, there are always going to be multiple stakeholders, and they should each be receiving their own targeted messaging.
  • But the last mile has to be the Story; the Story that communicates what is happening in the world, and what needs to be done to fix the problems and exploit the opportunities that analysis exposes
  • Tony Searl on 07 Feb 12
     
    Data alone isn't the answer. In fact, from a business perspective, the data is still part of problem. Insight is the answer, which is derived from the data.
hansdezwart

Wired UK, Barabási Lab and BIG data | blprnt.blg - 0 views

blog.blprnt.com/...d-uk-barabasi-lab-and-big-data

wired data uk bigdata experimentation lak11 required week2

shared by hansdezwart on 16 Jan 11 - No Cached
  • Tony Searl on 16 Jan 11
     
    Which brings us to the underlying point of the piece - we are all leaving digital trails behind us, as we make our way around our individual lives. These trails are largely considered individual - even ethereal - yet technology is making these trails more visible and more readable everyday.
  • hansdezwart on 17 Jan 11
     
    Over the last year, I've produced five data-driven pieces for Wired UK. Four of them have been for the two-page infoporn spread that can be found in every issue. I've looked at the UK's National DNA Database, used mined Twitter data to find people's travel paths, and mapped traffic in some of the world's busiest sea ports.
Tony Searl

Unstructured data is worth the effort when you've got the right tools - O'Reilly Radar - 2 views

radar.oreilly.com/...tured-data-analysis-tools.html

data #LAK12 analytics learning

shared by Tony Searl on 07 Feb 12 - No Cached
  • With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
  • entity relation extraction is an important trend.
  • Entity relation extraction helps detect new knowledge in big data.
  • ...1 more annotation...
  • Other trends include detecting sentiment in social data, integrating multiple languages, and applying text analytics to audio and video transcripts.
akshita123

Big Data Hadoop Classroom Training in Hyderabad - LearnUnbound - 0 views

www.learnunbound.com/...big-data

analytics data education connectivism SocialSoftware

shared by akshita123 on 28 Sep 15 - No Cached
  • akshita123 on 28 Sep 15
     
    Learn Big Data Hadoop from certified experts in Hyderabad on lowest price with 100% money back guarantee and get more attractive discounts and reward.
hansdezwart

YouTube - What is Hadoop? Other big data terms like MapReduce? Cloudera's CEO talks us ... - 0 views

www.youtube.com/watch

cloudera hadoop mapreduce lak11 youtube week2

shared by hansdezwart on 17 Jan 11 - Cached
  • hansdezwart on 17 Jan 11
     
    Cloudera is a company that helps developers with big database problems. Here the CEO Mike Olson gives us a tour through the major database changes that are hitting lots of startups now.
hansdezwart

Cloudera Hadoop Training: Thinking at Scale on Vimeo - 1 views

vimeo.com/3579013

hadoop bigdata scaling cloudera lak11 week2

shared by hansdezwart on 18 Jan 11 - No Cached
  • hansdezwart on 18 Jan 11
     
    You know your data is big - you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.
Tony Searl

Big data in real time is no fantasy - Cloud Computing News - 2 views

gigaom.com/...ata-in-real-time-is-no-fantasy

real time cloud cloud computing data bigdata

shared by Tony Searl on 05 Jul 11 - No Cached
  • It will never be what we call “next click,”
    • Tony Searl
      Tony Searl on 05 Jul 11
       
      why?
  • thanks to various Hadoop optimizations, complementary technologies and advanced algorithms, real-time analytics are becoming a real possibility
  • react promptly to sensor readings or analyze web logs as they are generated because that type of information becomes quickly obsolete.
  • ...2 more annotations...
  • But the most interesting thing about it might be that it was hardly even possible a few years ago
  • the evolution from batch processing to real-time processing has happened quickly.
  • Tony Searl on 05 Jul 11
     
    Among the greatest innovations might be the advent of real-time analytics, which allow the processing of information in real time to enable instantaneous decision-making.
hansdezwart

A special report on managing information: Data, data everywhere | The Economist - 0 views

www.economist.com/...15557443

bigdata information economist required lak11 week2

shared by hansdezwart on 16 Jan 11 - Cached
  • hansdezwart on 17 Jan 11
     
    Information has gone from scarce to superabundant. That brings huge new benefits, says Kenneth Cukier (interviewed here)-but also big headaches
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