Open source data warehousing models have a lot of advantages, the ability to scale horizontally and cheaply among them, but traditional warehousing techniques have their strengths as well, said Vipul Sharma, principle software engineer and engineering manager at Eventbrite, at Structure:Data.
The problem for many companies is that user information is spread across hundreds or even thousands of different fields in various databases, and it’s difficult to compile it in real time. But doing that successfully is becoming increasingly important, says WiBiData at Structure:Data.
We’re walking around with sensors in our pockets: those of us carrying smartphones, anyway. As said at Structure:Data, there are huge opportunities for companies to improve existing services and create new ones with the huge amount of data provided by mobile computers.
Scott Metzger, VP of analytics at flash-memory array maker Violin Memory, argued at Structure:Data that putting flash memory at the heart of big-data infrastructure is a must for any business that is worried about how long it takes to get results from data analysis.
Los Alamos National Laboratory is trying to build to an exascale computer, which could process one billion billion calculations per second. The man in charge of executing that vision, however, sees a big obstacle toward building it. That problem, discussed at Structure:Data, is resilience.
There are plenty of benefits from making data available to large repositories. But Trend Micro’s Dave Asprey said at Structure:Data one thing holding enterprises back from putting their data in the cloud is the lack of security of what they’re sharing.
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 this process run more smoothly, Meghjji explained at Structure:Data.
Is it possible that most people will be likely to have their DNA profile within the next 5 years? Yes it is, according to Andreas Sundquist, CEO and co-founder of DNAnexus, who suggested this to the audience at Structure:Data.
When running databases, how do you get the speed you want while offering the flexibility and cost savings of the cloud? At Structure:Data, Wordnik co-founder Tony Tam described how his company was able to move its relational database from dedicated hardware to the cloud.
“Anticipation denotes intelligence.” Zubin Dowlaty, VP and head of innovation and development of analytics-outsourcing firm Mu Sigma, said at Structure:Data that’s what companies need to be striving for and in this era of big data, the barriers to achieving that have fallen away.
