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When to use Hadoop

Author: Chszs, reprint should be indicated. Blog homepage: Http://blog.csdn.net/chszs Someone asked me, "How much experience do you have in big data and Hadoop?"   I told them I've been using Hadoop, but I'm dealing with a dataset that's rarely larger than a few terabytes. They asked me, "Can you use Hadoop to do simple grouping and statistics?"   I said yes, I just told them I need to see some examples of file formats. They handed me a 600MB data ...

Don't get into the same old Hadoop, your data isn't big enough.

This article, formerly known as "Don t use Hadoop when your data isn ' t", came from Chris Stucchio, a researcher with years of experience, and a postdoctoral fellow at the Crown Institute of New York University, who worked as a high-frequency trading platform, and as CTO of a start-up company, More accustomed to call themselves a statistical scholar.     By the right, he is now starting his own business, providing data analysis, recommended optimization consulting services, his mail is: stucchio@gmail.com. "You ...

Inventory Nine popular open source large data processing technology

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

Seven Secrets of data visualization experts

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

Seven Secrets of data visualization experts

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

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