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(鐐轰簡鏂逛究澶у鍌欒€�锛屽彲閫氶亷璩囨枡涓嬭級鍗€(q奴)鍩�鍏嶈不(f猫i)涓嬭級姝峰勾妯℃摤瑭﹂鍙婂倷鑰冭硣鏂�)

瑭﹂1

閰嶇疆绠＄悊鍜岃畩鏇寸鐞嗘槸闋�(xi脿ng)鐩鐞嗕腑闈炲父閲嶈鐨勭祫鎴愰儴鍒�锛屼簩鑰呯浉姣�锛岄厤缃鐞嗛噸榛�(di菐n)闂�(gu膩n)娉�()銆�

A銆侀爡(xi脿ng)鐩彲浜や粯鎴愭灉鍙婂悇鍊�(g猫)閬庣▼鎶€琛�(sh霉)涔嬮枔鐨勫尮閰�

B銆佽瓨(sh铆)鍒ワ紝瑷橀寗灏�(du矛)闋�(xi脿ng)鐩枃浠剁殑鏇存敼

C銆佹壒婧�(zh菙n)鎴栧惁姹哄皪(du矛)闋�(xi脿ng)鐩枃浠剁殑鏀硅畩

D銆佸皪(du矛)闋�(xi脿ng)鐩彲浜や粯鎴愭灉鎴栧熀婧�(zh菙n)璁婃洿鐨勮閷�

瑭﹂2

() is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster. The model is a specialization of the split-apply-combine strategy for data analysis.

A銆� HDFS

B銆丆hukwa

C銆丮apReduce

D銆丠Base

瑭﹂3

闋�(xi脿ng)鐩稉(j墨ng)鐞嗗湪鑼冨湇绠＄悊鏅�(sh铆)鍙敤浣滃畾缇╄寖鍦嶉亷绋嬭几鍏ョ殑闋�(xi脿ng)鐩枃浠舵槸( )

A銆佺敘(ch菐n)鍝佽寖鍦�

B銆侀ⅷ(f膿ng)闅�(xi菐n)鐧昏鍐�(c猫)

C銆佽寖鍦嶅熀婧�(zh菙n)

D銆乄BS

绛旀瑙ｆ瀽锛�

瑭﹂1 鍙冭€冪瓟妗堬細A

鍙冭€冭В鏋愶細

閰嶇疆绠＄悊閲嶉粸(di菐n)闂�(gu膩n)娉ㄥ彲浜や粯鐢�(ch菐n)鍝�(鍖呮嫭涓枔鐢�(ch菐n)鍝�)鍙婂悇閬庣▼鏂囨獢锛岃€岃畩鏇寸鐞嗗墖钁楃溂浜庤瓨(sh铆)鍒ャ€佽閷�銆佹壒婧�(zh菙n)鎴栧惁姹哄皪(du矛)闋�(xi脿ng)鐩枃浠�銆佸彲浜や粯鐢�(ch菐n)鍝佹垨鍩烘簴(zh菙n)鐨勮畩鏇�銆�

瑭﹂2 鍙冭€冪瓟妗堬細C

鍙冭€冭В鏋愶細(Mapreduce)鏄竴绋法绋嬫ā鍨嬪拰鐩搁棞(gu膩n)瀵�(sh铆)鐝�(xi脿n)锛岀敤浜庡湪闆嗙兢涓婁娇鐢ㄥ苟琛屽垎甯冨紡绠楁硶铏曠悊鍜岀敓鎴愬ぇ鏁�(sh霉)鎿�(j霉)闆�銆� 瑭叉ā鍨嬫槸鏁�(sh霉)鎿�(j霉)鍒嗘瀽鐨勫垎瑁傛噳(y墨ng)鐢ㄧ祫鍚堢瓥鐣ョ殑灏堟キ(y猫)鍖�銆�

瑭﹂3 鍙冭€冪瓟妗堬細B

鍙冭€冭В鏋愶細瀹氱京鑼冨湇鐨勮几鍏ュ寘鎷細

1銆侀爡(xi脿ng)鐩鐞嗚▓(j矛)鍔�(浠讳綍绲勪欢)

2銆侀爡(xi脿ng)鐩枃浠�(璁婃洿鏃ュ織銆佺稉(j墨ng)椹�(y脿n)鏁欒〒(x霉n)鐧昏鍐�(c猫)銆侀噷绋嬬娓呭柈銆侀爡(xi脿ng)鐩簼閫氳閷�銆侀爡(xi脿ng)鐩€�(j矛n)搴﹁▓(j矛)鍔�銆侀渶姹傝窡韫ょ煩闄ｃ€侀ⅷ(f膿ng)闅�(xi菐n)鐧昏鍐�(c猫)銆侀ⅷ(f膿ng)闅�(xi菐n)鍫�(b脿o)鍛�)

3銆佹壒婧�(zh菙n)鐨勮畩鏇磋珛(q菒ng)姹�

4銆佷簨妤�(y猫)鐠�(hu谩n)澧冨洜绱�

5銆佺祫绻旈亷绋嬭硣鐢�(ch菐n)

鍌欒€冩矕鍒鸿硣鏂欙細姝峰勾鐪熼銆�楂橀牷鑰冮粸(di菐n)銆�鍒烽搴�(k霉)鍙粸(di菐n)鎿�鍏嶈不(f猫i)涓嬭級銆�

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