Buch, Englisch, 440 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 816 g
ISBN: 978-1-4302-1942-2
Verlag: Apress
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 ). 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, 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 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 . Your productivity will blow your managers away.
Zielgruppe
Popular/general
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
