|
|
|
|
| LEADER |
02787nmm a2200445 u 4500 |
| 001 |
EB001911275 |
| 003 |
EBX01000000000000001074177 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 020 |
|
|
|a 1491923946
|
| 050 |
|
4 |
|a QA76.9.D343
|
| 100 |
1 |
|
|a Kromer, Philip
|
| 245 |
0 |
0 |
|a Big data for chimps
|b a guide to massive-scale data processing in practice
|c Philip Kromer & Russell Jurney
|
| 246 |
3 |
1 |
|a Guide to massive-scale data processing in practice
|
| 250 |
|
|
|a First edition
|
| 260 |
|
|
|a Sebastopol, CA
|b O'Reilly Media
|c 2015
|
| 300 |
|
|
|a 1 volume
|b illustrations
|
| 505 |
0 |
|
|a Part 1. Introduction: Theory and Tools -- Chapter 1. Hadoop Basics -- Chapter 2. MapReduce -- Chapter 3. A Quick Look into Baseball -- Chapter 4. Introduction to Pig -- Part 2. Tactics: Analytic Patterns -- Chapter 5. Map-Only Operations -- Chapter 6. Grouping Operations -- Chapter 7. Joining Tables -- Chapter 8. Ordering Operations -- Chapter 9. Duplicate and Unique Records
|
| 653 |
|
|
|a Electronic data processing / fast
|
| 653 |
|
|
|a Data mining / fast
|
| 653 |
|
|
|a Data Mining
|
| 653 |
|
|
|a Big data / fast
|
| 653 |
|
|
|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
|
| 653 |
|
|
|a Données volumineuses
|
| 653 |
|
|
|a MapReduce (Computer file) / fast
|
| 653 |
|
|
|a MapReduce (Computer file) / http://id.loc.gov/authorities/names/no2013077469
|
| 653 |
|
|
|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
|
| 653 |
|
|
|a Electronic data processing / http://id.loc.gov/authorities/subjects/sh85042288
|
| 653 |
|
|
|a Apache Hadoop / fast
|
| 653 |
|
|
|a Apache Hadoop / http://id.loc.gov/authorities/names/n2013024279
|
| 653 |
|
|
|a Exploration de données (Informatique)
|
| 700 |
1 |
|
|a Jurney, Russell
|e author
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 500 |
|
|
|a Includes index
|
| 776 |
|
|
|z 9781491923948
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781491923931/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3/12
|
| 520 |
|
|
|a "Finding patterns in massive event streams can be difficult, but learning how to find them doesn't have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You'll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book's approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you'll also learn how to use Apache Pig to process data"--
|