How will enterprise customers and database vendors respond to the proliferation of databases within a Hadoop ecosystem? As discussed in parts one and two, Gigaom analyst George Gilbert sees a confluence… Read more »
Hadoop 2 has brought along with it new ways of processing data and storing even more data. It suggests the Hadoop community understands the challenge in front of it — to… Read more »
Jeff Dean, a Google Fellow who helped develop some of the web giant’s most innovative infrastructure projects, says focusing on one problem at a time is crucial for success Read more »
Google Image Search just got a whole lot better, and the company’s purpose-built machine learning system infrastructure is a big reason why. No surprise, Jeff Dean helped build it. Read more »
In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated… Read more »
Google announced a “patent pledge” in which it will donate 10 patents related to MapReduce to protect the emerging cloud and big data industry from lawsuits. Read more »
Today’s most successful companies are the ones with the ability to capture and analyze all data available to them. Enter SQL-on-Hadoop solutions, which increase the accessibility of Hadoop and allow organizations… Read more »
In the first of our four-part multi-media series on Hadoop, the people who helped build Hadoop talk about its birth, its promise and the challenges in moving it from webscale to… Read more »
More and more companies and open source projects are trying to let users run SQL queries from inside Hadoop itself. Here’s a list of what’s available and, on a high level,… Read more »
A group of Stanford researchers recently ran a complex fluid dynamics workload across more than a million cores on the Sequoia supercomputer. It’s an impressive feat and might foretell a future… Read more »