| 000 | 01504nam a22003135i 4500 | ||
|---|---|---|---|
| 001 | 23210016 | ||
| 003 | AE-DuAU | ||
| 005 | 20241127181357.0 | ||
| 008 | 230630s2024 cau 000 0 eng | ||
| 010 | _a 2023941596 | ||
| 020 | _a9781529600087 (paperback) | ||
| 035 | _a(AE-DuAU)23210016 | ||
| 040 |
_aDLC _beng _erda _cDLC _dAE-DuAU |
||
| 049 | _aTSAUD | ||
| 050 | _aHD38.7 .D379 2024 | ||
| 090 | _aHD38.7 .D379 2024 | ||
| 100 | 1 |
_aObembe, Funmi, _eauthor. _9204843 |
|
| 245 | 1 | 2 |
_aA hands-on introduction to big data analytics / _cby Funmi Obembe and Ofer Engel. |
| 264 | 1 |
_aThousand Oaks : _bSage Publishing, _c2024 |
|
| 300 |
_axxi , 366 pages : _bcolor illustrations ; _c21 cm |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"This new textbook offers a hands-on introduction to big data analytics, helping you to develop the skills you need to hit the ground running as a data professional. The textbook complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life use cases as well as using real-life data for all examples and practice work. The book contains comprehensive coverage of all of the key topics in this area, and uses open-source technologies and examples in Python, PySpark and R"-- | ||
| 700 | 1 |
_aEngel, Ofer, _eauthor. _9204844 |
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| 942 |
_2lcc _cBOOK |
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| 999 |
_c52583 _d52583 |
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| 907 | _a52583 | ||