structure data

structure data

Cloudera adds search to Hadoop distro and says it's just getting started

From Amazon's top data geek: data has got to be big -- and reproducible

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Much has been done to bring big data closer to the people who need it. The advent of public cloud infrastructure has decimated the cost of collecting, maintaining and processing vast amounts of data. The next frontier is making that data reproducible, said Matt Wood, principal data scientist for Amazon...
From Amazon's top data geek: data has got to be big -- and reproducible

How humans & machines can team up to solve big problems

gigaom.com
(c) 2012 Pinar Ozger. pinar@pinarozger.com In the same way a microscope helps augment the innate ability of the human eye, Quid is trying to create tools to augment how we as humans process unstructured data and visualize it, said Sean Gourley, co-founder and CTO of Quid, on stage at Structure:Data...
How humans & machines can team up to solve big problems

Mo’ data mo’ problems: The future of the data center

gigaom.com
For all the upsides that using vasts amounts of data has, there’s also a cost – and often, it can be measured in cold hard dollars. That was one of the takeaways from a panel of data center experts at GigaOM’s Structure:Data conference Wednesday. Processing power and storage have scaled...
Mo’ data mo’ problems: The future of the data center

Even the CIA is struggling to deal with the volume of real-time social data

gigaom.com
Thanks to spy movies and other entertainment fare, we all have our own picture of what the Central Intelligence Agency is like — but the agency’s chief technology officer, Ira “Gus” Hunt, told attendees at GigaOM’s Structure:Data conference that just like any other company, the intelligence division has to somehow...
Even the CIA is struggling to deal with the volume of real-time social data

Get the big picture for big data

gigaom.com
GigaOM’s Structure:Data conference is coming soon! Our spectacular roster of speakers is now finalized. You will learn from the experience of these pioneers in the field, explore technologies that are shaping the future of big data, and gain insight from the best in the business. Learn more about the future...
Get the big picture for big data

Big data: Like Moneyball for your business

gigaom.com
(c) 2012 Pinar Ozger. pinar@pinarozger.comIt’s tough to overcome some of the biases that have become second nature in most businesses. But if you’re John Lucker, a principal at Deloitte, overcoming the “human factor” can be critical to the success of driving organizational change. One example Lucker used was Moneyball: The...
Big data: Like Moneyball for your business

Big data analytics is great but it's no a silver bullet

gigaom.com
A lot of the talk around big data analytics focuses on the sheer amount of data, the speed of inputs and the glitzy visualizations that can result from analysis. But if you focus on all those bells and whistles before really thinking through the problems you need to solve, you’re...
Big data analytics is great but it's no a silver bullet
Amazon, Eucalyptus team up for just don’t call it a hybrid cloud

The online future is personal, and that requires big data

gigaom.com
History shows that the most successful products and services — from the VHS video recorder to the Apple iPad — are the ones that are the most user-centric, and in order to construct those kinds of experiences companies need to use all the data that is at their disposal, WiBiData...
The online future is personal, and that requires big data

CIA: Big Data Is The Future And The Agency Owns It [PRESENTATION]

www.businessinsider.com
On Wednesday, the CIA's chief technology officer detailed the Agency's vision for collecting and analyzing all of the information people put on the Internet. The wide-ranging presentation at GigaOM's Structure:Data conference in New York City came two days after it was reported the spy agency is on the verge of signing a cloud computing contract with Amazon -- worth...
CIA: Big Data Is The Future And The Agency Owns It [PRESENTATION]
The week in cloud: VMware fesses up; Amazon churns out features; Newvem watches Amazon

Lots of data is great, but knowing how to get value is better

gigaom.com
So you’ve got a lot of structured, semi-structured and unstructured data. How do you or your business get the most value out of it? Nick Weir, CEO of ChoozOn, which uses intelligent matching to connect people with the best deals, gave some basic tips on the most important things to consider...
Lots of data is great, but knowing how to get value is better
How Wordnik moved its database to the cloud

The beauty of machine learning? It never stops learning

gigaom.com
(c) 2012 Pinar Ozger. pinar@pinarozger.com Business not using machine learning to augment the products and services will find it difficult to compete in the future according to panelists at GigaOm’s Structure:Data event on Wednesday. Not only will these companies be at a competitive disadvantage at first, it will get worse. Why?...
The beauty of machine learning? It never stops learning

How do you cram 1 trillion rows in a spreadsheet?

gigaom.com
(c) 2012 Pinar Ozger. pinar@pinarozger.com Spreadsheets don’t have to be limited, argues Robert Lefkowitz, CEO of 1010 Data. In a presentation titled “The Trillion Row Spreadsheet,” Lefkowitz argued at Structure:Data 2012 for why desktop-based or browser-based spreadsheets aren’t the solution if you have tons of data you need to put...
How do you cram 1 trillion rows in a spreadsheet?
How NoSQL database Riak makes Bump work

Drawn to Scale raises money to make SQL big-data-ready

gigaom.com
Drawn to Scale, a two-year-old startup focused on making SQL ready for the world of big data by combining it with Hadoop, has raised an initial funding round of $925,000. The money came from RTP Ventures, IA Ventures and SK Ventures. Drawn to Scale’s product, Spire, is a distributed index...
Drawn to Scale raises money to make SQL big-data-ready

EMC's Paul Maritz: it takes leadership to move companies toward a data-driven future

gigaom.com
It would be easy to think that moving companies toward a future in data would be a technological challenge, but Paul Maritz, EMC’s chief strategist and a key member of its Pivotal Initiative spin-off, took a different approach: it’s about human leadership. Speaking with Om Malik on Wednesday in New York for...
EMC's Paul Maritz: it takes leadership to move companies toward a data-driven future

Can Lexis-Nexis build a Hadoop-killer?

gigaom.com
Lexis-Nexis is a giant company, part of the Reed Elsevier information empire, but when it comes to handling big data, it is in the unusual position of being the underdog. The leader of the pack is Hadoop, which has already amassed a large and rapidly-growing following for its ability to...
Can Lexis-Nexis build a Hadoop-killer?

It's not enough to just have information -- intelligence requires context

gigaom.com
The U.S. intelligence community has plenty of information about the countries and regions where its adversaries operate, but it needs more than that — it needs better ways to understand the context of that information, and how it changes over time, Samantha Ravich told attendees at GigaOM’s Structure:Data conference in...
It's not enough to just have information -- intelligence requires context

Can evil data scientists fool us all with the world's best spam?

gigaom.com
While most of the concern over web security has to do with criminal activity such as cyberterrorism, state secrets and hacktivism, there’s a far more annoying threat lurking beneath the surface. It’s a new generation of spam that does away with brute force email barrages in favor of fake online...
Can evil data scientists fool us all with the world's best spam?

Big data is still hard, but it gets better

gigaom.com
What’s standing between your staff and big data analysis? That was the existential question posed of DJ Patil and Jeff Hammerbacher at the GigaOM Structure:Data event today in New York. The two had different takes on how easy it was to give people the power to use data, with Hammerbacher,...
Big data is still hard, but it gets better

Structure:Data 2013 live coverage

gigaom.com
If you’re a regular reader of GigaOM you know that we’re big believers in the power of data — both big and, well, bigger — to change the way we think about our world. Until relatively recently, it hasn’t been possible to gather enough data at scale to truly understand...
Structure:Data 2013 live coverage

Want a better/greener/more agile data center? Use the data.

gigaom.com
Job one of someone operating a data center is keeping it online. At the Structure Data event in New York City, three women responsible in some way for keeping the data centers of Microsoft, Goldman Sachs and Facebook online discussed how they gathered the info needed to prepare their data...
Want a better/greener/more agile data center? Use the data.
5 reasons why the future of Hadoop is real-time (relatively speaking)

Over 700 people will be at Structure:Data. Will you be left out?

gigaom.com
At Structure:Data 2012, you’ll get all you need to know to channel this flood of data into actionable information and exploit it for competitive advantage. Structure:Data highlights include: 40 keynotes, panels and fireside chats featuring companies such as Cloudera, EMC, Google, Opera Solutions, IBM, Quid, comScore, PayPal, Rocket Fuel and...
Over 700 people will be at Structure:Data. Will you be left out?

How to query Big Data quickly: Stream those queries!

gigaom.com
Over time, we’re generating massive amounts of new data, thanks to a growing number of connected devices and services. As this Big Data gets bigger, it becomes a challenge to gain insights through traditional database queries: More data to sift through means more lag time between a query and actionable...
How to query Big Data quickly: Stream those queries!

Can big data fix a broken system for software patents?

gigaom.com
Legal scholars are always searching for ways to improve the U.S. patent system, sometimes via sweeping changes, but big data could help provide a technological fix to a big part of the problem. The patent system is broken — on that almost everyone agrees. There’s a backlog of applications that...
Can big data fix a broken system for software patents?

For big data analytics, recall the tried and true old-school rules

gigaom.com
Data analysis didn’t start with Hadoop. Companies have been working with data to get insights for decades. While technology has changed, some of the rules from the past still apply, or ought to, as data gets bigger and bigger. Jack Rivkin, an occasional blogger with deep investment experience, recently shared...
For big data analytics, recall the tried and true old-school rules
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