Expert Hadoop Administration Managing, Tuning, and Securing Spark, YARN, and HDFS
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
46,49 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Altersempfehlung
18 - 67 Jahr(e)
Erscheinungsdatum
29.11.2016
Verlag
Pearson ITPSeitenzahl
848 (Printausgabe)
Dateigröße
48005 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780134703381
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference
"Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size."
-Paul Dix, Series Editor
In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples.
Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You'll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run.
- Understand Hadoop's architecture from an administrator's standpoint
- Create simple and fully distributed clusters
- Run MapReduce and Spark applications in a Hadoop cluster
- Manage and protect Hadoop data and high availability
- Work with HDFS commands, file permissions, and storage management
- Move data, and use YARN to allocate resources and schedule jobs
- Manage job workflows with Oozie and Hue
- Secure, monitor, log, and optimize Hadoop
- Benchmark and troubleshoot Hadoop
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice