Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice - Info and Reading Options
By Philip Kromer, Russell Jurney and Philip (flip) Kromer

"Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice" is published by O'Reilly Media in Oct 22, 2015 - Sebastopol, CA and it has 220 pages.
“Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice” Metadata:
- Title: ➤ Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice
- Authors: Philip KromerRussell JurneyPhilip (flip) Kromer
- Number of Pages: 220
- Publisher: O'Reilly Media
- Publish Date: Oct 22, 2015
- Publish Location: Sebastopol, CA
“Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice” Subjects and Themes:
- Subjects: ➤ Database management - Database searching - Big data - Data mining - Pattern recognition systems - Electronic data processing - Business - Data processing - Apache Hadoop - MapReduce (Computer file)
Edition Identifiers:
- The Open Library ID: OL26836964M - OL19546376W
- Online Computer Library Center (OCLC) ID: 930445550
- ISBN-13: 9781491923948
- ISBN-10: 1491923946
- All ISBNs: 1491923946 - 9781491923948
AI-generated Review of “Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice”:
"Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice" Description:
Open Data:
"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"--
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