
Big Data
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54 Free Social Media Monitoring Tools [Update2012]
If you want to know what’s happening in the social web you need social media monitoring tools. Before you reach for your wallet and start to spend money try out some of the free social media monitoring services . This way you will get an understanding of what is available and if you need any paid services. I have collected 54 free social media monitoring tools. In the Group A are the services that I use regularly or seem interesting to check out immediately.Future - Technology - Next generation military robots have minds of their own
Data Stories: Dino Citraro of Periscopic on Data Visualization | Company Blog
Transforming Noise into Signal: Isolating Social Business Results
How Linked Lifecycle Data can transform your systems engineering environment
Does Big Data Need Bigger Data Quality and Data Management?
By Virginia Prevosto and Peter Marotta Running faster won't get you to the right place if you don't know where you're going. Even if you do know your destination, you need the right road markers to help you on the way. Big Data and, more important, the analytics that Big Data fuels are the technology du jour. But creating better, faster, more robust means of accessing and analyzing large data sets can lead to disaster if your data management and data quality processes don't keep pace.How to Repair Your Data - Thomas C. Redman
by Thomas C. Redman | 11:00 AM September 27, 2012 One can't help being impressed with the effort biologists, physicists, and other scientists devote to data quality. From careful design of experiments and data collection processes, to explicit definition of terms, to comprehensive efforts to ensure the data are correct, no effort is spared. This is not surprising. After all, data are the lifeblood of science.Search Engine Rationalization
You write extensively about big data (and wrote a book on web monitoring ). How do you think data is changing the way we understand businesses? There’s a book by Eric Ries called The Lean Startup . The whole principle of lean is build, measure then learn. The lean model says identify the thing that’s most uncertain, and then build in experiments just enough to verify or repudiate that uncertainty and then iterate. And the way you do that measuring part is data.
Beyond Big Data: Q&A with Alistair Croll
BuzzFeed's Social Media Editor on Why Twitter is the New Press Scrum
This post is part of the Social Media Editor Series , featuring interviews with social media editors from news organizations about what they do and where they see social media in journalism going. What do you think? Michael Hayes’ ambition to make BuzzFeed the number one social news organization is predicated on the idea that social media is the new news. “Twitter is the new press scrum,” BuzzFeed’s social media editor told The Content Strategist. “It’s the place where news goes to break first.” He’s not wrong.From MIKE2.0 Methodology Introduction The Big Data Solution Offering provides an approach for storing, managing and accessing data of very high volumes, variety or complexity.
Big Data Solution Offering
BI still dependent on IT
September 13, 2012, 7:14 AM PDT Takeaway: There’s never been a better time for IT to step up and show what tech can do to drive the business. They’re the only people who can set the systems in motion to capture data and mine it successfully. A few years ago when IT/business alignment was the buzz phrase that you heard everywhere, the impetus for this coming to pass seemed to belong to IT. It was all about IT pros developing soft skills and being able to talk “business” with the others at the executive table.LDAP Directories: The Forgotten NoSQL - Engine Yard Blog
When most Rails developers encounter LDAP, it’s usually for user authentication. And most of the time, there’s no choice, they’re working under a dictate that requires them to use it.NoSQL may be one of the most overhyped technology trends in the past couple of years, and a growing number of companies that left their relational databases behind for a NoSQL fling are rethinking their decisions. Yet organizations continue to adopt NoSQL solutions and investors are still eager to pour money into vendors behind the most popular of them. Are they crazy, or has some of the NoSQL skepticism been overdone?
Five legitimate use cases for NoSQL databases
By Jeff Kelly with David Vellante and David Floyer This is the 2011 report, originally published on February 15, 2012. See Big Data Vendor Revenue and Market Forecast 2012-2017 for the 2012 update. The Big Data market is on the verge of a rapid growth spurt that will see it top the $50 billion mark worldwide within the next five years. As of early 2012, the Big Data market stands at just over $5 billion based on related software, hardware, and services revenue. Increased interest in and awareness of the power of Big Data and related analytic capabilities to gain competitive advantage and to improve operational efficiencies, coupled with developments in the technologies and services that make Big Data a practical reality, will result in a super-charged CAGR of 58% between now and 2016.
Big Data Market Size And Vendor Revenues - Wikibon
BigData_BigOpportunity.jpg (JPEG Image, 999 × 686 pixels)
Big Data Opportunity [INFOGRAPHIC] - the graphic dominates the text but worth reading. Two things of architectural note: 1) While responsibility for Technology is moving beyond CIO the need for consistent architecture is amplified. 2) Big Data has even more opportunities for collaboration, education, healthcare and business development. by Mar 22
State Street’s Chief Scientist on How to Tame Big Data Using Semantics
Article promotes semantic technology in banking, while admitting it is embryonic. However it avoids the semantic conflicts inherent in amibiguous unstructured data streams. "Meaning" for the moment is entirely subjective, in this case the banks themselves or even the data engineers. by Oct 17

