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瑭﹂1

閰嶇疆绠＄悊鍜岃畩鏇寸鐞嗘槸闋呯洰绠＄悊涓潪甯搁噸瑕佺殑绲勬垚閮ㄥ垎锛屼簩鑰呯浉姣�锛岄厤缃鐞嗛噸榛為棞(gu膩n)娉�()銆�

A銆侀爡鐩彲浜や粯鎴愭灉鍙婂悇鍊嬮亷绋嬫妧琛�(sh霉)涔嬮枔鐨勫尮閰�

B銆佽瓨鍒�锛岃閷勫皪闋呯洰鏂囦欢鐨勬洿鏀�

C銆佹壒婧栨垨鍚︽焙灏嶉爡鐩枃浠剁殑鏀硅畩

D銆佸皪闋呯洰鍙氦浠樻垚鏋滄垨鍩烘簴璁婃洿鐨勮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

闋呯洰缍�(j墨ng)鐞嗗湪鑼冨湇绠＄悊鏅傚彲鐢ㄤ綔瀹氱京鑼冨湇閬庣▼杓稿叆鐨勯爡鐩枃浠舵槸( )

A銆佺敘(ch菐n)鍝佽寖鍦�

B銆侀ⅷ闅櫥瑷樺唺

C銆佽寖鍦嶅熀婧�

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鍒�銆佽閷勩€佹壒婧栨垨鍚︽焙灏嶉爡鐩枃浠�銆佸彲浜や粯鐢�(ch菐n)鍝佹垨鍩烘簴鐨勮畩鏇淬€�

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︾従(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)鍖栥€�

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銆侀爡鐩鐞嗚▓鍔�(浠讳綍绲勪欢)

2銆侀爡鐩枃浠�(璁婃洿鏃ュ織銆佺稉(j墨ng)椹楁暀瑷撶櫥瑷樺唺銆侀噷绋嬬娓呭柈銆侀爡鐩簼閫氳閷�銆侀爡鐩€插害瑷堝妰銆侀渶姹傝窡韫ょ煩闄�銆侀ⅷ闅櫥瑷樺唺銆侀ⅷ闅牨鍛�)

3銆佹壒婧栫殑璁婃洿璜嬫眰

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)

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