Foreword
It has not been very long since the phrase “Hadoop security” was an oxymoron. Early versions of the big data platform, built and used at web companies like Yahoo! and Facebook, didn’t try very hard to protect the data they stored. They didn’t really have to—very little sensitive data went into Hadoop. Status updates and news stories aren’t attractive targets for bad guys. You don’t have to work that hard to lock them down.
As the platform has moved into more traditional enterprise use, though, it has begun to work with more traditional enterprise data. Financial transactions, personal bank account and tax information, medical records, and similar kinds of data are exactly what bad guys are after. Because Hadoop is now used in retail, banking, and healthcare applications, it has attracted the attention of thieves as well.
And if data is a juicy target, big data may be the biggest and juiciest of all. Hadoop collects more data from more places, and combines and analyzes it in more ways than any predecessor system, ever. It creates tremendous value in doing so.
Clearly, then, “Hadoop security” is a big deal.
This book, written by two of the people who’ve been instrumental in driving security into the platform, tells the story of Hadoop’s evolution from its early, wide open consumer Internet days to its current status as a trusted place for sensitive data. Ben and Joey review the history of Hadoop security, covering its advances and its evolution alongside new business problems. ...
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