Centre de connaissance
Les meilleurs ressources pour comprendre
Site officielApache Hadoop
Framework Java pour stocker et traiter de gros volumes de données sur des clusters
0Articlesà lire
'/%3e%3cpath%20d='m392%20176h32v48h-32z'%20fill='%23cbcbcb'%20transform='matrix(-1%200%200%20-1%20816%20400)'/%3e%3cg%20fill='%230276b4'%3e%3ccircle%20cx='256'%20cy='144'%20r='8'/%3e%3ccircle%20cx='256'%20cy='112'%20r='8'/%3e%3ccircle%20cx='256'%20cy='80'%20r='8'/%3e%3ccircle%20cx='256'%20cy='48'%20r='8'/%3e%3ccircle%20cx='288'%20cy='144'%20r='8'/%3e%3ccircle%20cx='288'%20cy='112'%20r='8'/%3e%3ccircle%20cx='288'%20cy='80'%20r='8'/%3e%3ccircle%20cx='288'%20cy='48'%20r='8'/%3e%3ccircle%20cx='320'%20cy='144'%20r='8'/%3e%3ccircle%20cx='320'%20cy='112'%20r='8'/%3e%3ccircle%20cx='320'%20cy='80'%20r='8'/%3e%3ccircle%20cx='224'%20cy='144'%20r='8'/%3e%3ccircle%20cx='224'%20cy='112'%20r='8'/%3e%3ccircle%20cx='224'%20cy='80'%20r='8'/%3e%3ccircle%20cx='224'%20cy='48'%20r='8'/%3e%3ccircle%20cx='192'%20cy='144'%20r='8'/%3e%3ccircle%20cx='192'%20cy='112'%20r='8'/%3e%3ccircle%20cx='192'%20cy='80'%20r='8'/%3e%3c/g%3e%3cpath%20d='m288.007%20341.963a8%208%200%200%201%20-4.584-14.562%2048.569%2048.569%200%200%200%2013.724-14.67%208%208%200%200%201%2013.706%208.257%2064.735%2064.735%200%200%201%20-18.276%2019.536%207.966%207.966%200%200%201%20-4.57%201.439z'%20fill='%230296e5'/%3e%3cpath%20d='m256%20352a8%208%200%200%201%200-16%2048.783%2048.783%200%200%200%206.867-.486%208%208%200%201%201%202.266%2015.839%2064.835%2064.835%200%200%201%20-9.133.647z'%20fill='%230296e5'/%3e%3cpath%20d='m136.005%20136a7.984%207.984%200%200%201%20-6.252-3%2072.034%2072.034%200%200%201%200-90%208%208%200%200%201%2012.494%2010%2055.722%2055.722%200%200%200%200%2070%208%208%200%200%201%20-6.242%2013z'%20fill='%23fbb540'/%3e%3cpath%20d='m105.973%20152a7.984%207.984%200%200%201%20-6.078-2.793%2094.05%2094.05%200%200%201%200-122.414%208%208%200%200%201%2012.148%2010.414%2078.047%2078.047%200%200%200%200%20101.586%208%208%200%200%201%20-6.07%2013.207z'%20fill='%23fbb540'/%3e%3cpath%20d='m376%20136a8%208%200%200%201%20-6.242-13%2055.722%2055.722%200%200%200%200-70%208%208%200%200%201%2012.494-10%2072.034%2072.034%200%200%201%200%2090%207.984%207.984%200%200%201%20-6.252%203z'%20fill='%23fbb540'/%3e%3cpath%20d='m406.027%20152a8%208%200%200%201%20-6.07-13.207%2078.047%2078.047%200%200%200%200-101.586%208%208%200%200%201%2012.148-10.414%2094.05%2094.05%200%200%201%200%20122.414%207.984%207.984%200%200%201%20-6.078%202.793z'%20fill='%23fbb540'/%3e%3cpath%20d='m152%20176h208v40h-208z'%20fill='%23cbcbcb'/%3e%3cpath%20d='m168%20216h176v16h-176z'%20fill='%23015078'/%3e%3c/g%3e%3c/svg%3e)
0Episodes de podcastà écouter
0Discussionspour échanger
Créé par
Doug Cutting, Mike Cafarella
April 2006
Dernière version
submarine-0.2.0-RC0
over 7 years ago
Popularité
'%3e%3cpath%20d='M50.2142%2018.9386C49.891%2017.9389%2049.0043%2017.2289%2047.9552%2017.1343L33.7053%2015.8404L28.0704%202.65157C27.655%201.685%2026.7087%201.05933%2025.6574%201.05933C24.6061%201.05933%2023.6599%201.685%2023.2444%202.65383L17.6096%2015.8404L3.35734%2017.1343C2.31016%2017.2311%201.42571%2017.9389%201.10063%2018.9386C0.775554%2019.9383%201.07577%2021.0349%201.86794%2021.7261L12.6392%2031.1726L9.46301%2045.1637C9.2306%2046.1924%209.62988%2047.2558%2010.4834%2047.8728C10.9423%2048.2043%2011.479%2048.3731%2012.0203%2048.3731C12.487%2048.3731%2012.95%2048.2473%2013.3655%2047.9986L25.6574%2040.6522L37.9448%2047.9986C38.844%2048.5396%2039.9774%2048.4902%2040.8291%2047.8728C41.683%2047.2539%2042.0819%2046.1902%2041.8495%2045.1637L38.6733%2031.1726L49.4446%2021.728C50.2368%2021.0349%2050.5393%2019.9402%2050.2142%2018.9386Z'%20fill='%23FFC107'/%3e%3c/g%3e%3cdefs%3e%3cclipPath%20id='clip0_1229_10547'%3e%3crect%20width='49.3714'%20height='49.3714'%20fill='white'%20transform='translate(0.971436)'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e)
157120 
Apache Hadoop est un framework libre écrit en Java, créé par Doug Cutting et Mike Cafarella en 2006 et développé par l'Apache Software Foundation. Il permet de stocker et de traiter de très grands volumes de données en les répartissant sur un ensemble de machines. Il s'appuie notamment sur le système de fichiers distribué HDFS et sur le modèle de calcul MapReduce.