Pro Hadoop

(Autor)

Buch | Softcover
440 Seiten
2009 | 1st ed.
Apress (Verlag)
978-1-4302-1942-2 (ISBN)

Lese- und Medienproben

Pro Hadoop - Jason Venner
36,33 inkl. MwSt
You've heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source (thus free). But what exactly is it, and more importantly, how do you even get a Hadoop cluster up and running?


From Apress, the name you've come to trust for hands–on technical knowledge, Pro Hadoop brings you up to speed on Hadoop. You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code, Hadoop takes care of the rest.


Best of all, you'll learn from a tech professional who's been in the Hadoop scene since day one. Written from the perspective of a principal engineer with down–in–the–trenches knowledge of what to do wrong with Hadoop, you learn how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system or inheriting someone else's.


Skip the novice stage and the expensive, hard–to–fix mistakes...go straight to seasoned pro on the hottest cloud–computing framework with Pro Hadoop. Your productivity will blow your managers away.

Jason Venner has more than 20 years of software engineering, managing, designing, and coding experience. He has been a vice president, director, and consultant. Currently, his interests and expertise are in Java, Hadoop, cloud computing, and more. For more, visit www.prohadoopbook.com.

Getting Started with Hadoop Core.- The Basics of a MapReduce Job.- The Basics of Multimachine Clusters.- HDFS details for Multimachine Clusters.- MapReduce Details for Multimachine Clusters.- Tuning Your MapReduce Jobs.- Unit Testing and Debugging.- Advanced and Alternate MapReduce Techniques.- Solving Problems with Hadoop.- Projects Based On Hadoop and Future Directions.

Zusatzinfo 440 p.
Verlagsort Berlin
Sprache englisch
Maße 178 x 235 mm
Themenwelt Mathematik / Informatik Informatik Betriebssysteme / Server
Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Software Entwicklung
Schlagworte Hadoop
ISBN-10 1-4302-1942-4 / 1430219424
ISBN-13 978-1-4302-1942-2 / 9781430219422
Zustand Neuware
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