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Why big data needs real-time intelligent systems
Zubin Dowlaty was watching the movie the Fifth Element when he saw the future of real-time intelligence laid out in a pithy quote: “Anticipation denotes intelligence.” Dowlaty, vice president and head...
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How Wordnik moved its database to the cloud
When running databases, how do you get the speed you want while offering the flexibility and cost savings of the cloud? At Structure:Data in New York City Thursday, Wordnik co-founder Tony Tam talked...
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Why you’ll likely have your DNA sequenced in 5 years
Updated. The costs of DNA analysis and genome sequencing are fast decreasing while the amount of data created by such activities is nearing the one petabyte — or a thousand terabytes — barrier. Is it...
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Never mind the hardware, it’s the algorithms
It’s easier to crunch massive amounts of data when you don’t have to reinvent the wheel for every scenario. Sultan Meghjji and his colleagues at Appistry are hoping to make it easier for those who are...
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What big data really needs is security
(c) 2012 Pinar Ozger. pinar@pinarozger.comThere are plenty of benefits from making data available to large repositories. But Dave Asprey, VP of Cloud Security at Trend Micro, said one thing holding...
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Another big obstacle to exascale computing: resilience
Los Alamos National Laboratory is trying to build to an exascale computer, which would be 1000 times faster than Cray’s Jaguar supercomputer and could process one billion billion calculations per...
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Flash, an option for big data performance?
(c) 2012 Pinar Ozger. pinar@pinarozger.comFlash memory is not cheap, but it can play a valuable role in helping companies crunch big data faster and might even save them money in the long run. Scott...
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Mobile data a fascinating and scary opportunity
(c) 2012 Pinar Ozger. pinar@pinarozger.comWe’re walking around with sensors in our pockets: those of us carrying smartphones, anyway. There are huge opportunities for companies to improve existing...
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The online future is personal, and that requires big data
(c) 2012 Pinar Ozger. pinar@pinarozger.comHistory 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...
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Eventbrite: Hadoop isn’t for everybody
(c) 2012 Pinar Ozger. pinar@pinarozger.comOpen source data warehousing models have a lot of advantages, the ability to scale horizontally and cheaply among them, but traditional warehousing techniques...
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Structure:Data live coverage
On March 21 and 22, at Structure:Data, we'll look at how companies like @WalmartLabs, IBM, and PayPal are using big data and how technologies like Hadoop are evolving to help them analyze that data....
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The next big data challenge: More data, more speed, more, more…
Businesses understand now that big data can help them wring revenue out of once-unproductive assets. But that just fuels an exploding demand for bigger, faster, and more precise big data applications,...
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The beauty of machine learning? It never stops learning
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. These...
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Cloud lets small businesses catch up on big data
Cloud technologies still lag behind on-premise tools in some key ways, but are unbeatable in enabling “one single guy” to complete large BI projects, We Are Cloud’s Rachel Delacour said at...
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Google’s BigQuery: making data insights faster
Companies are grappling with how to make use of all their data, facing the challenge of teasing out insights quickly and with flexibility. Moving to the cloud opens up security and privacy questions....
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Social: the new silo-busting tool for business
One of the oldest problems in business, getting different groups to communicate with each other, could be solved by one of the newest online phenomenon: social tools. Two industry leaders explained how...
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Lots of data is great, but knowing how to get value is better
How do you or your business get the most value out of all the data you've accessed about your customers? At Structure:Data, Nick Weir, CEO of ChoozOn, gave some basic tips on the most important things...
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Data analysis: It’s like a puzzle that someone messed with
If IBM Distinguished Engineer Jeff Jonas ever invites you for a friendly game of puzzle, be prepared: Jonas likes to leave out half of the pieces, or introduce false positives from other puzzle sets....
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How do you cram 1 trillion rows in a spreadsheet?
Robert Lefkowitz, director of web development at 1010data, 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...
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How Allstate uses data to calculate your premiums
Predicting risk is key to the way insurance companies figure out your monthly rates and premiums, and it needs data and time to do so. Allstate said at Structure:Data that the best use of this data was...
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Filtering the digital exhaust
If 80 percent of new data created is going to be unstructured, where is all that data coming from? It’s coming from consumers’ activities online and it requires real-time processing, said Continuuity’s...
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How to make data digestable for non-techies
Humans have to be part of the equation when it comes to interpreting and processing data if we want to get the most value out of it, argued Arnab Gupta, CEO and founder of Opera Solutions at...
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Cloudera CEO: Come to me with apps, I’ll get you money
Hadoop is a great platform for storing and processing data, but it needs applications to make it truly valuable. At Structure:Data, Cloudera CEO Mike Olson discussed the dearth of pro analytics apps...
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How data mining leads to loans for the underbanked
Next-generation online banking service ZestCash uses data to help qualify people for short term loans. The company explains at Structure:Data it has been giving $300 to $800 loans to users based on...
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Mo’ data mo’ problems: The future of the data center
The amount of data processed by companies big and small increases every day - and data centers have a hard time keeping up. Not only is scaling the physical infrastructure costly, it also consumes vast...
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Big data: Like Moneyball for your business
It's tough to overcome some of the biases that have become second nature in most businesses. But if you're John Lucker, who's a Principal at Deloitte, overcoming the "human factor" can be critical to...
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How humans & machines can team up to solve big problems
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,...
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Machine data is for people too
Machine-generated data, the non-intelligible zeros and ones that are generated by sensors and other devices, is no longer just for geeks. While it looks like gibberish forward-thinking consumers are...
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Can LexisNexis build a Hadoop-killer?
Hadoop may be the current leader of the pack when it comes to handling big data, but LexisNexis says at Structure:Data the system it developed for its own internal data use -- and recently open-sourced...
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How to query Big Data quickly: Stream those queries!
Over time, we're generating massive amounts of new data, and as it gets bigger, it becomes a challenge to gain insights through traditional database queries. At Structure:Data, SQLstream CEO Damian...
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Is the debate over data and online privacy misguided?
Consumers have long been trading their personal data in return for access to Web sites like Facebook. The tradeoff has worked well for companies and consumers but, as the pool of data grows, so have...
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NASA-style data tools drive digital ad campaigns
At Structure:Data, DataXu showed off its technology in the form of a writhing map of colors that reflected consumer sentiment to cell phone promotions. In practice, this means that a phone company’s ad...
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How big data can be used to improve and predict sales
Data collected can be useful to retailers in many ways, but not necessarily in the ways that one might expect, as discussed at Structure:Data. For example, did you know that there's a correlation...
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Hadoop’s new strategy: Pump data in to process, pull it out for privacy
Companies who are concerned with privacy and bandwidth issues, but who want to take advantage of the processing power of Hadoop, are actively pursuing a "pump to Hadoop and pull from Hadoop structure,"...
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