000 | 00973nam a22001817a 4500 | ||
---|---|---|---|
020 | _a9789351198062 | ||
041 | _aENG | ||
082 |
_a005.74 _bMAR |
||
100 | _aMarz, Nathan | ||
245 |
_aBig data: _bprinciples and best practices of scalable real-time data systems/ _cNathan Marz |
||
260 |
_aNew Delhi; _bManning: _c2015. |
||
300 |
_axx, 308 Pg.; _bill: _c23cm. |
||
520 | _aBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. | ||
650 | _aBig data | ||
650 | _aData Mining | ||
700 | _aWarren, James | ||
942 |
_2ddc _cBK |
||
999 |
_c23787 _d23787 |