A cautionary note on Big Data in Big Data News: Mad Men Taking Over.
"Today’s meme is big data and we are sold an image of omnipotent data and
algorithms, where numbers are more important than meaning, a mix of
truth and fiction conjured to advance the story-tellers’ interests. The
mix is so powerful, the data so intoxicating, that the data sellers
can’t see the implications of their bragging and the potential
consequences to society."
Sunday, June 30, 2013
Thursday, June 27, 2013
Big Data Quote of the day: 06/27/2013
Krebbers (VP of architecture
at Shell) said the best benefits of big data were realised by using a mixture of
technologies (quoted in Data quality more important than fixating over big data)
"A mixture of more expensive in-memory, for speed; SQL, for a more economical option; and Hadoop, as a means of storing data you don’t know what to do with"
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Even large, well-oiled organizations such as Shell are in a data-grab mode in terms of storing "all" data in Hadoop, without a well-thought through, business-driven data-capture and decisioning approach.
"A mixture of more expensive in-memory, for speed; SQL, for a more economical option; and Hadoop, as a means of storing data you don’t know what to do with"
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Even large, well-oiled organizations such as Shell are in a data-grab mode in terms of storing "all" data in Hadoop, without a well-thought through, business-driven data-capture and decisioning approach.
Wednesday, June 26, 2013
Big Data Quote of the Day: 06/26/2013
A quote from Splunk, which just launched Hunk - a new tool in the Hadoop ecosystem. This quote captures the essence of the "Big Divide" in Big Data:
“Hadoop is becoming the OS for where you store data,” Clint Sharp, Splunk senior product manager for big data. “I talk to a lot of customers who are not struggling to put data into Hadoop, but they are struggling to get value out of it.”
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Also, Hunk claims a voodoo feature: There is no requirement to “understand” data upfront, simply point Hunk at the Hadoop cluster and start exploring data immediately.
If some of the so-called innovators in Big Data highlight such features, no wonder numerous Hadoop deployments fail, and Big Data gets a bad wrap. It is critical to remember that Big data are just data, despite all the hype. Data are critically valuable to business decision-making, but understanding what it is, where it comes from, its inherent uncertainty and biases, how it could influence and impact decisions, and how it could augment our brain's ability shouldn't be ignored.
“Hadoop is becoming the OS for where you store data,” Clint Sharp, Splunk senior product manager for big data. “I talk to a lot of customers who are not struggling to put data into Hadoop, but they are struggling to get value out of it.”
*********************
Also, Hunk claims a voodoo feature: There is no requirement to “understand” data upfront, simply point Hunk at the Hadoop cluster and start exploring data immediately.
If some of the so-called innovators in Big Data highlight such features, no wonder numerous Hadoop deployments fail, and Big Data gets a bad wrap. It is critical to remember that Big data are just data, despite all the hype. Data are critically valuable to business decision-making, but understanding what it is, where it comes from, its inherent uncertainty and biases, how it could influence and impact decisions, and how it could augment our brain's ability shouldn't be ignored.
Tuesday, June 25, 2013
Big Data Quote of the day: 06/25/2013
A nice metaphor for Big Data in an InformationWeek article NoSQL Vs. Hadoop: Big Data Spotlight At E2
"In contrast to NoSQL, Hadoop seems to be getting all the credit it deserves and then some. By many accounts, it's the be-all and end-all of big data, despite the fact that the lion's share of deployments today are little more than digital landfills."
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It is high time we generate some value from digital landfills, starting with landfill gas.
"In contrast to NoSQL, Hadoop seems to be getting all the credit it deserves and then some. By many accounts, it's the be-all and end-all of big data, despite the fact that the lion's share of deployments today are little more than digital landfills."
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It is high time we generate some value from digital landfills, starting with landfill gas.
Monday, June 24, 2013
Big Data Quote of the day: 06/24/2013
“When the information is not
really used, we call it dark
data because it’s not being used for predictive analysis or making
business decisions,” Krishnan said.
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Why do we need to augment data-related
vocabulary, when there is so much confusion even what big data really
means and can do?
Saturday, June 22, 2013
Big Data Quote of the day: 06/22/2013
A simple practical quote on generating value from data in Big data brings new vigor to health research
"Having somebody who knows how to do data and run a query is great, but until it gets to the person who understands what's going on and what to do with that information, it doesn't really matter," Collins said.
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Realizing business value by taking actions from insights trump our ability to generate the insights in the first place.
Comical aspect of the quote: What does "do" data really mean?
"Having somebody who knows how to do data and run a query is great, but until it gets to the person who understands what's going on and what to do with that information, it doesn't really matter," Collins said.
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Realizing business value by taking actions from insights trump our ability to generate the insights in the first place.
Comical aspect of the quote: What does "do" data really mean?
Friday, June 21, 2013
Big Data Quote of the day: 06/21/2013
Machines/sensors and Big Data
Quote in Big Data Will Drive the Industrial Internet
"A six hours flight from New York to LA on a twin-engine aircraft produces a 240-terabyte mountain of data," writes Paul Mathai, applied research lead, Manufacturing & Hi-Tech, at Wipro. "The data can be analyzed to reveal every aspect of the engine's performance and health."
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These data add up very quickly if you think about all the flights. Are all these mountains of data valuable?
Quote in Big Data Will Drive the Industrial Internet
"A six hours flight from New York to LA on a twin-engine aircraft produces a 240-terabyte mountain of data," writes Paul Mathai, applied research lead, Manufacturing & Hi-Tech, at Wipro. "The data can be analyzed to reveal every aspect of the engine's performance and health."
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These data add up very quickly if you think about all the flights. Are all these mountains of data valuable?
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