In a world of full disclosure, cooking the data is the new cooking the books.
Open data and transparency aren't enough: we need True Data, not Big Data, as well as regulators and lawmakers willing to act on it.
The ability to augment people (meat) with data and processes (math) is a key to success.
Successful companies find ways to augment their employees, allowing them to operate at scale with customers. Big data, machine learning, and an iterative, experimental mindset are essential — and increasingly, company valuations are tied to the efficiency with which firms put information to work.
Even if you have petabyes of data, you still need to know how to ask the right questions to apply it.
Today's big companies are losing to small upstarts simply because those firms ask better questions. To compete, large enterprises need to learn how to harvest the data they have on customers, markets, competitors, and products.
Get your submission in for the Strata Conference Science Fair by January 14.
Strata's science fair will showcase the creative edges of big data. If you have an interesting tool or technology to show — the more beta, the better — let us know.
Tablets can help students and track teachers, but not everyone is on board.
Tablet computing can help reverse the decline of U.S. education, but there's a side effect. Because tablets are digital, we can analyze how students learn and examine teachers' competence. It opens the question: What happens when the digital classroom challenges powerful teachers' unions?
What IBM's acquisition of Netezza means for enterprises.
Netezza sprinkled an appliance philosophy over a complex suite of technologies, making it easier for enterprises to get started. But the real reason for IBM's offer was that the company reset the price/performance equation for enterprise data analysis.
A study ran cloud providers through four tests. Here's some of the results.
Bitcurrent and Webmetrics ran five cloud providers through a series of tests: a small object, a large object, a million calculations, and a 500,000-row table scan. Here's some of the results and lessons learned.
Our increased reliance on web-based intelligence makes speed and reliability even more important.
As we become more dependent on our collective consciousness, web operators will be much more involved in end-user experience measurement, from application design to real user monitoring. We're in the century of the distributed nervous system, and web operators are its brain surgeons.