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Hadoop will be a relic soon, predicts Numenta founder

Hadoop will be a relic soon, predicts Numenta founder | cross pond high tech | Scoop.it
Numenta is a startup with a cloud-based prediction engine for streaming data. The company launched in 2005 and went into beta earlier this year. It is ready enough now to start making a difference that the New York Times profiled its founder, Jeff Hawkins, this week and called his company a brainy big data company--a play on Hawkins' theories on neuroscience.

In fact, Numenta's core technology, the Grok prediction engine, was developed based on a theory of the neocortex. Hawkins' approach may upset the big data applecart, according to the Times, because it focuses on real-time streaming sensor data and goes against the grain of mass storage that is driving much of the development on databases such as Hadoop.

Hawkins told the Times that "much of this will be a relic within a few years." He said Hadoop won't go away, but it will manage a lot less stuff and that querying databases won't matter as much. "It only makes sense to look at old data if you think the world doesn't change," Hawkins said.
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The brains behind Hive launch on-demand Hadoop service

The brains behind Hive launch on-demand Hadoop service | cross pond high tech | Scoop.it
Two key members of the Facebook team that created the Hadoop query language Hive are launching their own big data startup called Qubole on Thursday. Co-founders Ashish Thusoo and Joydeep Sen Sarma are taking that experience to provide a managed version of Hive that’s hosted on the Amazon Web Services cloud computing infrastructure.

 

The founders know from whence they speak when it comes to Hadoop and Hive, which is a framework and associated query language that sits above Hadoop and turns into something resembling a traditional SQL-based data warehouse. Both worked at Facebook from 2007 through 2011 and held senior positions on the data infrastructure team, where they played major roles in creating Hive and scaling Facebook’s Hadoop cluster to 25 petabytes of compressed data (it’s now up past 30 petabytes). Thusoo also spent a year as the project lead for Hive with the Apache Software Foundation.

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