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Working with big data : infrastructure, algorithms and visualizations : livelessons /
"Working with Big Data: Infrastructure, Algorithms, and Visualizations LiveLessons presents a high level overview of big data and how to use key tools to solve your data challenges. This introduction to the three areas of big data includes: Infrastructure - how to store and process big data ; A...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Indianapolis, Ind.?] :
Pearson,
©2013.
|
| Colección: | LiveLessons (Indianapolis, Ind.)
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000Ia 4500 | ||
|---|---|---|---|
| 001 | OR_ocn830457209 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 130319s2013 inu407 o vleng d | ||
| 040 | |a UMI |b eng |e pn |c UMI |d OCLCF |d OCLCQ |d UAB |d UAF |d OCLCO | ||
| 035 | |a (OCoLC)830457209 | ||
| 037 | |a CL0500000200 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.D343 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Dix, Paul, |d 1977- | |
| 245 | 1 | 0 | |a Working with big data : |b infrastructure, algorithms and visualizations : livelessons / |c by Paul Dix. |
| 246 | 1 | |i Sub-title on resource description page: |a Infrastructure, algorithms and visualizations | |
| 260 | |a [Indianapolis, Ind.?] : |b Pearson, |c ©2013. | ||
| 300 | |a 1 online resource (1 streaming video file (6 hr., 46 min., 54 sec.)). | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a LiveLessons | |
| 511 | 0 | |a Presenter, Paul Dix. | |
| 500 | |a Title from title screen. | ||
| 520 | |a "Working with Big Data: Infrastructure, Algorithms, and Visualizations LiveLessons presents a high level overview of big data and how to use key tools to solve your data challenges. This introduction to the three areas of big data includes: Infrastructure - how to store and process big data ; Algorithms - how to integrate algorithms into your big data stack and an introduction to classification ; Visualizations - an introduction to creating visualizations in JavaScript using D3.js."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a JavaScript (Computer program language) | |
| 650 | 0 | |a Business |x Data processing. | |
| 650 | 2 | |a Data Mining | |
| 650 | 2 | |a Algorithms | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a JavaScript (Langage de programmation) | |
| 650 | 6 | |a Gestion |x Informatique. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Business |x Data processing. |2 fast |0 (OCoLC)fst00842293 | |
| 650 | 7 | |a Computer algorithms. |2 fast |0 (OCoLC)fst00872010 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a JavaScript (Computer program language) |2 fast |0 (OCoLC)fst00982071 | |
| 830 | 0 | |a LiveLessons (Indianapolis, Ind.) | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9780133358964/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||