Field Guide to Hadoop An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies
-
- Taschenbuch ausgewählt
- eBook
-
Sprache:Englisch
37,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
21.04.2015
Verlag
O'Reilly MediaSeitenzahl
132
Maße (L/B/H)
22,8/15,1/1 cm
Gewicht
202 g
Sprache
Englisch
ISBN
978-1-4919-4793-7
If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly understand how Hadoop’s projects, subprojects, and related technologies work together.
Each chapter introduces a different topic—such as core technologies or data transfer—and explains why certain components may or may not be useful for particular needs. When it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you’ll have a good grasp of the playing field.
Topics include:
* Core technologies—Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark
* Database and data management—Cassandra, HBase, MongoDB, and Hive
* Serialization—Avro, JSON, and Parquet
* Management and monitoring—Puppet, Chef, Zookeeper, and Oozie
* Analytic helpers—Pig, Mahout, and MLLib
* Data transfer—Scoop, Flume, distcp, and Storm
* Security, access control, auditing—Sentry, Kerberos, and Knox
* Cloud computing and virtualization—Serengeti, Docker, and Whirr
Each chapter introduces a different topic—such as core technologies or data transfer—and explains why certain components may or may not be useful for particular needs. When it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you’ll have a good grasp of the playing field.
Topics include:
* Core technologies—Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark
* Database and data management—Cassandra, HBase, MongoDB, and Hive
* Serialization—Avro, JSON, and Parquet
* Management and monitoring—Puppet, Chef, Zookeeper, and Oozie
* Analytic helpers—Pig, Mahout, and MLLib
* Data transfer—Scoop, Flume, distcp, and Storm
* Security, access control, auditing—Sentry, Kerberos, and Knox
* Cloud computing and virtualization—Serengeti, Docker, and Whirr
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice