It's also difficult to get excited about a company that relies too heavily on its ability to run advanced analytics on commodity metrics, as history suggests that companies betting on technology as the sole competitive differentiator tend not to succeed over time.
Measuring page-based analytics is a commodity.
MapReduce is a framework for performing data-intensive computations and data analytics in parallel on commodity computers.
McGraw Hill Financial, Inc. is a content and analytics provider serving the capital, commodities and commercial markets.
With the combined companies, Actian can scale a company's data across commodity hardware, capturing data from different directions and running analytics on that data.
When reviewing multiple data analytic models, we found that Apache Hadoop can provide a good starting point for mobile distributed analytics since it supports cost-effective and high performance analysis of a large volume of unstructured data on a set of commodity hardware.
AsterData give companies deep insights on massive data by transforming off-the-shelf, commodity hardware into a powerful, self-managing, and scalable analytic database.
The company plans to use its Series A funding for hiring, expanding its sales and marketing efforts, and to adapt its analytics to help growers of corn, soy and other commodity crops in the Midwest, the CEO said.
For us the analytics, and all the management things are more like a commodity that we give it for free, just to have more and more distribution and more and more consumption.
In this paper we present the Brown Dwarf, a distributed data analytics system designed to efficiently store, query and update multidimensional data over commodity network nodes, without the use of any proprietary tool.
Thanks to commodity computing power, it's possible to build a startup business based around big data and analytics.
