±¾Êé½áºÏÀíÂÛºÍʵ¼ù£¬ÓÉdzÈëÉȫ·½Î»½éÉÜÁËHadoop ÕâÒ»¸ßÐÔÄܵĺ£Á¿Êý¾Ý´¦ÀíºÍ·ÖÎöƽ̨¡£È«Êé5²¿·Ö24 Õ£¬µÚ¢ñ²¿·Ö½éÉÜHadoop »ù´¡ÖªÊ¶£¬µÚ¢ò²¿·Ö½éÉÜMapReduce,µÚ¢ó²¿·Ö½éÉÜHadoop µÄÔËά£¬µÚ¢ô²¿·Ö½éÉÜHadoop Ïà¹Ø¿ªÔ´ÏîÄ¿£¬µÚ¢õ²¿·ÖÌṩÁËÈý¸ö°¸Àý£¬·Ö±ðÀ´×ÔÒ½ÁÆÎÀÉúÐÅÏ¢¼¼Êõ·þÎñÉÌÈûÄÉ(Cerner)¡¢Î¢ÈíµÄÈ˹¤ÖÇÄÜÏîÄ¿ADAM(Ò»ÖÖ´ó¹æÄ£·Ö²¼Ê½Éî¶Èѧϰ¿ò¼Ü)ºÍ¿ªÔ´ÏîÄ¿Cascading(Ò»¸öеÄÕë¶ÔMapReduce µÄÊý¾Ý´¦ÀíAPI)¡£±¾ÊéÊÇÒ»±¾×¨Òµ¡¢È«ÃæµÄHadoop ²Î¿¼ÊéºÍ¹¤¾ßÊ飬²ûÊöÁËHadoop Éú̬ȦµÄз¢Õ¹ºÍÓ¦Ó㬳ÌÐòÔ±¿ÉÒÔ´ÓÖÐ̽Ë÷º£Á¿Êý¾Ý¼¯µÄ´æ´¢ºÍ·ÖÎö£¬¹ÜÀíÔ±¿ÉÒÔ´ÓÖÐÁ˽âHadoop ¼¯ÈºµÄ°²×°ºÍÔËά¡£
¥148.00¶¨¼Û£º¥148.00
ʵս´óÊý¾Ý£¨Hadoop+Spark+Flink£©¡ª¡ª´Óƽ̨¹¹½¨µ½½»»¥Ê½Êý¾Ý·ÖÎö£¨ÀëÏß/ʵʱ£©
¥74.20¶¨¼Û£º¥99.00 (7.5ÕÛ) µç×ÓÊ飺¥69.90
±¾ÊéÖ÷Òª½éÉÜÊý¾Ý²Ö¿âÓëÊý¾ÝÍÚ¾òµÄ»ù±¾¸ÅÄîºÍ·½·¨£¬°üÀ¨Êý¾ÝÔ¤´¦Àí¡¢Êý¾Ý²Ö¿âÓëÁª»ú·ÖÎö´¦Àí¡¢Êý¾Ý²Ö¿âÉè¼ÆÓ뿪·¢¡¢»Ø¹é ·ÖÎö¡¢¹ØÁª¹æÔòÍÚ¾ò¡¢·ÖÀà¡¢¾ÛÀà¡¢Éñ¾ÍøÂçÓëÉî¶Èѧϰ¡¢ÀëȺµã¼ì²âÒÔ¼°Îı¾ºÍʱÐòÊý¾ÝÍÚ¾òµÈÄÚÈÝ¡£±¾ÊéÅäÌ××ÊÔ´·á¸»£¬°üÀ¨½Ìѧ´ó¸Ù¡¢½Ìѧ¿Î¼þ¡¢µç×ӽ̰¸¡¢³ÌÐòÔ´Â롢ϰÌâ´ð°¸¡¢½Ìѧ½ø¶È±í£¬×÷Õß»¹Îª±¾Ê龫ÐļÖÆÁË600·ÖÖÓµÄ΢¿ÎÊÓƵ¡£
¥45.50¶¨¼Û£º¥59.80 (7.61ÕÛ)
´óÊý¾Ý¼¼ÊõÈëÃÅ¡ª¡ªHadoop+Spark 16¸öÍêÕûµÄÏîÄ¿°¸ÀýºÍÁ½¸ö×ۺϰ¸Àý£¬ÅäÓнÌѧ´ó¸ÙµÈ×ÊÔ´
£¨1£©ÒÔʵս¿ª·¢Îªµ¼Ïò£¬¶Ô»ù´¡ÀíÂÛ֪ʶµãÓ뿪·¢¹ý³Ì½øÐÐÏêϸ½²½â¡£ £¨2£©ÊµÕ½°¸Àý·á¸»£¬º¸Ç18 ¸öÍêÕûÏîÄ¿°¸ÀýºÍ2¸ö×ۺϰ¸Àý£¬×ۺϰ¸Àý¿ÉÒÔ¼ÓÉî¶Ô±¾ÊéËùѧµÄ֪ʶµãµÄÀí½âºÍÕÆÎÕ¡£ £¨3£©´úÂëÏ꾡£¬±ÜÃâ¶Ô API µÄÐÎʽչʾ£¬¹æ±ÜÖظ´´úÂë¡£ £¨4£©ÓïÑÔ¼òÃ÷Ò׶®£¬ÓÉdzÈëÉî´øÄãѧ»áÒÔ HadoopÉú̬ȦΪºËÐĵĿª·¢¼¼ÊõºÍ´óÊý¾Ý³£¼ûµÄ»úÆ÷ѧϰËã·¨¡£
¥49.90¶¨¼Û£º¥49.90
Hadoop´óÊý¾Ý¿ª·¢¼¼Êõ ½ÏΪȫÃæµØ½éÉÜ´óÊý¾Ý¿ª·¢¼¼Êõƽ̨Hadoop ¼°ÆäÉú̬ϵͳµÄÏà¹Ø֪ʶ¡£
±¾Êé·ÖΪÈý´ó²¿·Ö£¬²¿·ÖÖ÷Òª½éÉÜ´óÊý¾Ý¿ª·¢¼¼Êõƽ̨Hadoop£¬·ÖΪ6Õ£¬½éÉÜHadoop¸÷²¿·ÖµÄÖ÷Òª¼¼Êõ¼°ÆäÓ¦Ó㬰üÀ¨Hadoop¼Ü¹¹¼°×é³É¡¢Æ½Ì¨´î½¨¡¢HDFS¡¢YARN¡¢MapReduceµÈÄÚÈÝ£»µÚ¶þ²¿·Ö½éÉÜHadoop ¼Ò×åµÄÆäËû¼¸¸öÖØÒªÏîÄ¿£¬ÕâЩ¶¼Óë»ù±¾µÄ´óÊý¾Ý¿ª·¢Ó¦ÓýôÃÜÏà¹Ø£¬°üÀ¨Êý¾Ý¿âHBase¡¢Êý¾Ý²Ö¿âHive¡¢Spark£»µÚÈý²¿·Ö½éÉÜ´óÊý¾ÝÓ¦Óÿª·¢×ÛºÏʵÀý£¬½éÉÜÁ˱à³Ì»·¾³ÓëÊý¾Ý×¼±¸¡¢´óÊý¾Ý·ÖÎöÓëÊý¾Ý¿ÉÊÓ»¯¡¢Ò»¸ö¾ßÌå´óÊý¾ÝÓ¦ÓÃÁìÓò µçÓ°ÍƼö µÄ¾ßÌåʵʩ·½·¨¡£
¥56.80¶¨¼Û£º¥59.80 (9.5ÕÛ)
±¾½Ì²ÄµÄʵÖÊÉÏÊÇÏîÄ¿½Ìѧ·¨»òÕß°¸ÁнÌѧ·¨£¬Ä¿µÄÊÇÈÃͬѧÃÇͨ¹ý²Ù×÷ʵ¼ùÀ´ÊµÏÖÒ»¸ö´óÊý¾Ýϵͳ£¬È«ÊéΧÈÆhadoop´óÊý¾ÝµÄÉú̬ϵͳ£¬´ÓÔÀíÉÏ¡¢¼¼ÊõÉϽøÐÐÉîÈëµÄÀíÂÛ·ÖÎö£¬Í¨¹ý²Ù×÷¡¢´óÊý¾Ýϵͳ¡¢´óÊý¾Ý±à³ÌÀ´Ñ§Ï°£¬ÕæÕýʵÏÖ ½Ì¡¢Ñ§¡¢×ö µÄÒ»Ì廯½Ìѧ·½·¨¡£
¥37.90¶¨¼Û£º¥49.80 (7.62ÕÛ)
1. ÉîÈëdz³ö£º´Ó»ù´¡¸ÅÄîÈëÊÖÔÙµ½ÔÀíÉîÈ룻2.×¢ÖØÔÀí£ºÍ¨¹ýͼÎÄÏê½â´óÊý¾Ýƽ̨µÄÌåϵ¼Ü¹¹ÓëÔËÐлúÖÆ£»3. ʵս²¿Êð£ºStep by StepÑÝʾ´óÊý¾Ý»·¾³µÄ²¿Êð£»4.°¸Àý·á¸»£º´óÁ¿´óÊý¾ÝÓ¦ÓóÌÐòÉè¼Æ°¸Àý£»5.ϵͳȫÃ棺ÍêÕû°üº¬´óÊý¾Ýƽ̨Éú̬ÌåϵÄÚÈÝ£»6.´úÂëÏ꾡£ºÏêϸ´úÂë×¢ÊÍ£¬±ãÓÚÀí½â
¥91.90¶¨¼Û£º¥99.80 (9.21ÕÛ)
Hadoop 3.x´óÊý¾Ý¿ª·¢ÊµÕ½(ÊÓƵ½Ìѧ°æ) ´óÊý¾ÝÔ´Â뼶ר¼ÒÇãÄÒÏàÊÚ
±¾ÊéÓÉ×ÊÉî´óÊý¾Ýר¼ÒÇãÁ¦´òÔì ÒÔHadoop 3.x¼°ÆäÖܱ߿ò¼ÜΪÖ÷Ïߣ¬½éÉÜÁËÕû¸öHadoopÉú̬ϵͳÖ÷Á÷µÄ´óÊý¾Ý¿ª·¢¼¼Êõ¡£ º¸ÇHadoop 3.xÉú̬ϵͳ¸÷¿ò¼ÜHDFS¡¢MapReduce¡¢YARN¡¢ZooKeeper¡¢HBase¡¢Hive¡¢SqoopºÍÊý¾Ýʵʱ´¦ÀíϵͳFlume¡¢Kafka¡¢Storm¡¢SparkÒÔ¼°·Ö²¼Ê½ËÑË÷ϵͳElasticsearchµÈµÄ»ù´¡ÖªÊ¶¡¢¼Ü¹¹ÔÀí¡¢¼¯Èº»·¾³´î½¨£¬Í¬Ê±°üÀ¨³£ÓõÄShellÃüÁî¡¢API²Ù×÷¡¢Ô´ÂëÆÊÎö£¬²¢Í¨¹ýʵ¼Ê°¸Àý¼ÓÉî¶Ô¸÷¸ö¿ò¼ÜµÄÀí½âÓëÓ¦ÓᣠȫÊéÉîÈëdz³ö£¬Ê¹ÓÃÁË´óÁ¿Ö±¹ÛµÄÒ×ÓÚÀí½âµÄͼʾ£¬´úÂë¿É¶ÁÐÔÇ¿£¬¼´Ê¹Ã»ÓÐÈκδóÊý¾Ý»ù´¡µÄ¶ÁÕߣ¬Ò²¿ÉÒÔ¶ÔÕÕÊéÖеIJ½Öè³É¹¦´î½¨ÊôÓÚ×Ô¼ºµÄ´óÊý¾Ý¼¯Èº£¬Í¨¹ý¶Ô±¾ÊéµÄѧϰ£¬¶ÁÕßÄܹ»¶Ô´óÊý¾ÝÏà¹Ø¿ò¼ÜѸËÙÀí½â²¢ÕÆÎÕ£¬¿ÉÒÔÊìÁ·Ê¹ÓÃHadoop 3.x¼¯³É»·¾³½øÐдóÊý¾ÝÏîÄ¿µÄ¿ª·¢¡£ Ϊ·½±ã¶ÁÕßʹÓñ¾Ê飬ÊéÖл¹ÌṩÁËÔ´´úÂëºÍPPT¿Î¼þ£¬É¨Ãè±¾ÊéÇ°ÑÔÖеĶþάÂë¼´¿ÉÏÂÔØ£¬×÷
¥99.00¶¨¼Û£º¥99.00µç×ÓÊ飺¥69.30
±¾ÊéʹÓÃSpark 3.2.x׫д£¬Ê¹ÓÃͨË×Ò׶®µÄÓïÑÔÃèÊö£¬¶ÔÓÚС°×À´Ëµ·Ç³£ÓѺᣠ֪ʶȫÃ棬ȫÊéΧÈÆSpark´óÊý¾ÝÉú̬¹¹½¨ÖªÊ¶Ìåϵ£¬º¸ÇSpark 3¼Ü¹¹ÔÀí¡¢¼¯Èº´î½¨¡¢¼ÆËã¿ò¼Ü¡¢Shell ÃüÁî¡¢API²Ù×÷¡¢ÄÚºËÔ´ÂëÆÊÎö¡¢ÓëHiveºÍKafakaÓëHBaseµÄÕûºÏ²Ù×÷µÈÄÚÈÝ ÓÉÐÐÒµ´óÊý¾Ýר¼ÒÇãÁ¦´òÔ죬רҵÐÔÎãÓ¹ÖÃÒÉ£¬È«ÊéÔËÓÃÊ®·ÖͨË×µÄÓïÑÔºÍÏ꾡µÄ´úÂë·ÖÎö£¬°ïÖú´Óδ½Ó´¥¹ýSparkµÄ¶ÁÕßÎÞÍ´ÉÏÊÖ£¬Èç¹ûÄãÏëѧϰSpark£¬±¾ÊéÊÇÒ»¸öÖµµÃÈëÊÖµÄÑ¡Ôñ¡£ ¾Ü¾øÖ½ÉÏ̸±ø£¬È«ÊéÌṩ20¸ö´óС°¸ÀýºÍÏîÄ¿£¬²¢Ê¹ÓÃÊÖ°ÑÊֵĽÌѧ·½·¨£¬¸÷Õ»¹Ìṩ¶¯ÊÖÁ·Ï°Ì⣬ÈöÁÕß¿ìËÙÕÆÎÕʵÓôóÊý¾ÝÏîÄ¿¼¼ÄÜ¡£ ÅäÌ׷ḻµÄ×ÊÔ´£¬°üÀ¨ÉÏ»úÁ·Ï°Ô´Âë¡¢½ÌѧÊÓƵ¡¢PPT¿Î¼þ£¬¶ÁÕß»¹¿ÉÒÔ¹Ø×¢×÷Õß¹«ÖںŠ·Ü¶·ÔÚIT »ñÈ¡¸ü¶à´óÊý¾Ýѧϰ×ÊÔ´¡£
¥89.00¶¨¼Û£º¥89.00µç×ÓÊ飺¥62.30
Hadoop+Spark´óÊý¾Ý·ÖÎöʵս Ïê½âHadoop+Spark´óÊý¾Ý·ÖÎö¼¼Êõ ÆÊÎöÓ°ÆÀ·ÖÎö¡¢ÂÃÓξƵêÆÀ¼Û·ÖÎöʵսÏîÄ¿
±¾ÊéÈ«Ãæ½²½âHadoopÉú̬Ȧ¸÷×é¼þµÄºËÐÄ֪ʶ¡¢²Ù×÷ºÍ·ÖÎö¼¼Êõ£¬ÏµÍ³½éÉÜSpark¿ò¼Ü´î½¨¡¢²Ù×÷ºÍµäÐ͵ĻúÆ÷ѧϰ·ÖÎö¼¼Êõ¡£ºóͨ¹ýÁ½¸ö×ÛºÏʵսÏîÄ¿ Ó°ÆÀ·ÖÎö¡¢ÂÃÓξƵêÆÀ¼Û·ÖÎö£¬À´¹á´©´óÊý¾Ý·ÖÎöµÄÍêÕûÁ÷³Ì¡£
¥69.00¶¨¼Û£º¥69.00µç×ÓÊ飺¥48.30
Kettle¹¹½¨Hadoop ETLϵͳʵ¼ù ÇáËÉÔËÓÃKettleÍê³ÉHadoopÊý¾Ý²Ö¿âµÄFTL¹ý
KettleÒ×ÓÃÐԺ㬱àÂ빤×÷Á¿Ð¡£¬¹¦ÄÜÍ걸£¬»ùÓÚJava£¬ÔÊÐí¶àÏß³ÌÓë²¢·¢Ö´ÐÐÒÔÌá¸ßЧÂÊ¡£±¾ÊéÒÔCDH×÷ΪHadoopƽ̨£¬½áºÏÏúÊÛ¶©µ¥Ê¾Àý£¬Ïêϸ½éÉܲ¢ÑÝʾÈçºÎʹÓÃKettleÍê³ÉHadoopÊý¾Ý²Ö¿âµÄETL¹ý³Ì¡£±¾ÊéÊʺϴóÊý¾Ý·ÖÎöϵͳ¿ª·¢¡¢Êý¾Ý²Ö¿âϵͳÉè¼ÆÓ뿪·¢¡¢DBA¡¢¼Ü¹¹Ê¦µÈÏà¹Ø¼¼ÊõÈËÔ±ÔĶÁ¡£
¥79.00¶¨¼Û£º¥79.00µç×ÓÊ飺¥27.65
Hive±à³ÌÖ¸ÄÏ Ê¹ÓÃHiveµÄSQL·½ÑÔ´¦ÀíÔÚHadoopϵͳÉϵĴóÐÍÊý¾Ý¼¯
Êг¡ÖÐ**±¾HiveͼÊé¡£ HiveÔÚHadoopϵͳÖеÄÓ¦ÓÃÇ÷ÊƱȽϿɹۡ£
¥54.50¶¨¼Û£º¥69.00 (7.9ÕÛ) µç×ÓÊ飺¥23.99
1.±¾ÊéÊÇ¡¶´óÊý¾Ý¡·±àί»áÕë¶ÔУÆóºÏ×÷µÄ¾«ÐÄÁ¦×÷¡£ 2.±¾ÊéÄý½áÁËÊï¹âÈðÒí¶àÄêµÄ½Ìѧ¾Ñ飬Äܹ»Âú×ãУÆóÈںϽÌѧµÄÐèÇó¡£ 3.±¾ÊéÖ¼ÔÚ½éÉÜHadoopºÍSparkµÄ»ù´¡ÖªÊ¶£¬Îª¼´½«Ñ§Ï°´óÊý¾Ý¼¼ÊõµÄ¶ÁÕߵ춨»ù´¡¡£ 4.±¾Êé²ÉÓÃÈÎÎñÇý¶¯µÄ±àд·½Ê½£¬¶ÁÕß¿ÉÒÔÖ±½Ó½øÐÐʵÑéЧ¹ûÌåÑ飬²¢½øÐÐ×ÔÓɵ÷Õû¡£ 5.±¾Êé²ÉÓôóÁ¿µÄʵ¼ù°¸Àý£¬½áºÏÐÐÒµµäÐÍÓ¦Ó㬱àдÐÐҵʵ¼ù¡£ 6.±¾ÊéÌṩ·á¸»µÄ½Ìѧ×ÊÔ´£¬°üÀ¨µç×ӿμþ¡¢ÊµÑéÉè¼ÆµÈ¡£
¥55.10¶¨¼Û£º¥69.80 (7.9ÕÛ)
Hadoop 2X HDFSÔ´ÂëÆÊÎö ÐìÅô ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
HDFSÊÇÔËÐÐÔÚͨÓÃÓ²¼þÉϵķֲ¼Ê½Îļþϵͳ£¬±¾ÊéÏêϸ½éÉÜÁËHDFSÌåϵ½á¹¹¡¢»ù±¾¸ÅÄͨÐÅÐÒé¼°Ö÷ÒªÁ÷³Ì£¬¾ßÌå°üÀ¨HadoopRPC¿ò¼ÜµÄʹÓü°ÊµÏÖ¡¢ÎļþϵͳĿ¼Ê÷¡¢Êý¾Ý¿é¹ÜÀí¡¢Êý¾Ý½Úµã¹ÜÀí¡¢×âÔ¼¹ÜÀí¡¢»º´æ¹ÜÀí¡¢ClientProtocolʵÏÖ¡¢NamenodeµÄÆô¶¯ºÍÍ£Ö¹¡¢DatanodeÂß¼½á¹¹¡¢Datanode´æ´¢¡¢ÎļþϵͳÊý¾Ý¼¯¡¢BlockManager¡¢Á÷ʽ½Ó¿Ú¡¢Êý¾Ý¿éɨÃèÆ÷¡¢DataNodeÀàµÄʵÏÖ¡¢DFSClientʵÏÖ¡¢Îļþ¶Á„¤×÷ÓëÊäÈëÁ÷¡¢Îļþ¶Ì·¶Á„¤×÷¡¢Îļþ䄤×÷ÓëÊä³öÁ÷£¬ÒÔ¼°HDFS³£Óù¤¾ßµÈ¡£
¥53.51¶¨¼Û£º¥180.62 (2.97ÕÛ)
Hadoop+Spark´óÊý¾Ý¼¼Êõ£¨Î¢¿Î°æ£©
°üº¬250·ÖÖÓ΢¿ÎÊÓƵ¡¢·á¸»µÄʵÀý´úÂëÒÔ¼°Õæʵ¡¢ÍêÕûµÄÏîÄ¿°¸Àý¡£ ÄÚÈÝÄÒÀ¨LinuxºÍMySQLʹÓûù´¡¡¢HadoopºÍSpark¼¯Èº´î½¨¡¢HadoopÁ½´óºËÐĵÄÔÀíÓëʹÓá¢HadoopÉú̬Ȧ¹¤¾ß£¨Hive¡¢HBase¡¢Spoop¡¢FlumeµÈ£©¡¢Scala»ù´¡¡¢RDD¡¢Spark SQL¡¢Spark streamingºÍSpark-MLµÈ֪ʶµã£¬²¢ÓÐÅäÌ×ʵÀý´úÂë¡£ Ïêϸ½²½âÕæʵµÄ´óÊý¾ÝÏîÄ¿ µçÁ¦ÄÜÔ´´óÊý¾Ý·ÖÎö ¡£
¥69.00¶¨¼Û£º¥69.00
¡¶Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöYARN¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí¡·ÊÇ¡°Hadoop¼¼ÊõÄÚÄ»¡±ÏµÁеĵÚ3±¾Ê飬ǰÃæÁ½±¾·Ö±ð¶ÔCommon¡¢HDFSºÍMapReduce½øÐÐÁËÉîÈë·ÖÎöºÍ½²½â£¬Ó®µÃÁ˼«ºÃµÄ¿Ú±®£¬HadoopÁìÓò¼¸ºõÈËÊÖÒ»²á£¬±¾ÊéÔò¶ÔYARNÕ¹¿ªÁËÉîÈëµÄ̽ÌÖ£¬ÊǹØÓÚYARNµÄרÖø¡£ÈÔÈ»ÓÉHadoop¼¼Êõר¼Ò¶Î÷³ÉÖ´±Ê£¬¸ù¾ÝеÄHadoop2.0°æ±¾×«Ð´£¬×¨ÒµÉçÇøChinaHadoop¶¦Á¦ÍƼö¡£¡¶Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöYARN¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí¡·´ÓÓ¦ÓýǶÈϵͳ½²½âÁËYARNµÄ»ù±¾¿âºÍ×é¼þÓ÷¨¡¢Ó¦ÓóÌÐòÉè¼Æ·½·¨¡¢YARNÉÏÁ÷Ðеĸ÷ÖÖ¼ÆËã¿ò¼Ü£¨MapReduce¡¢Tez¡¢Storm¡¢Spark£©£¬ÒÔ¼°¶à¸öÀàYARNµÄ¿ªÔ´×ÊÔ´¹ÜÀíϵͳ£¨CoronaºÍMesos£© ´ÓÔ´´úÂë½Ç¶ÈÉîÈë·ÖÎöYARNµÄÉè¼ÆÀíÄîÓë»ù±¾¼Ü¹¹¡¢¸÷¸ö×é¼þµÄʵÏÖÔÀí£¬ÒÔ¼°¸÷ÖÖ¼ÆËã¿ò¼ÜµÄʵÏÖϸ½Ú¡£¡¶Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöYARN¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí¡·¹²ËIJ¿·Ö3Õ һ²¿·Ö£¨µÚ~2Õ£©Ö÷Òª½éÉÜÁËÈçºÎ»ñÈ¡¡¢ÔÄ
¥7.64¶¨¼Û£º¥42.96 (1.78ÕÛ)
Öصã½éÉÜÁË Hive ÐÔÄܵ÷ÓÅËùÉæ¼°µÄ Hadoop ×é¼þºÍ Hive ¹¤¾ß Õ¾ÔÚ¹¤³ÌµÄ½Ç¶È½éÉÜ Hive ÐÔÄܵ÷ÓÅ£¬×¢Öص÷ÓÅ·½·¨µÄ¿ÉÂäµØÐÔ ´ÓÓï·¨¡¢±íÄ£ÐÍÉè¼Æ¡¢Ö´Ðмƻ®ºÍ¼ÆËãÒýÇæµÈ¶à¸ö½Ç¶È½øÐн²½â ×¢ÖØʵÀýÑÝʾºÍµ÷ÓÅ·½·¨µÄ×ܽᣬ¸ø³ö½ü°Ù¸öʵÀý´øÁì¶ÁÕßʵ¼Ê²ÙÁ· ÊÊÓÃÓÚHive 1.x¡¢Hive 2.x¼°Hive 3.xµÈ¶à¸ö°æ±¾ ¡¶ Hive ÐÔÄܵ÷ÓÅʵս¡·ºËÐÄÄÚÈÝ£º ¾ÙÀý¸ÐÊÜHiveÐÔÄܵ÷ÓŵĶàÑùÐÔ HiveÎÊÌâÅŲéÓëµ÷ÓÅ˼· »·¾³´î½¨ Hive¼°ÆäÏà¹Ø´óÊý¾Ý×é¼þ ÉîÈëMapReduce¼ÆËãÒýÇæ Hive SQLÖ´Ðмƻ® HiveÊý¾Ý´¦Àíģʽ YARNÈÕÖ¾ Êý¾Ý´æ´¢ ·¢ÏÖ²¢ÓÅ»¯HiveÖеÄÐÔÄÜÎÊÌâ Hive֪ʶÌåϵ×Ü½á ³¬ÖµÔùËÍ£º ¡¶HiveÐÔÄܵ÷ÓÅʵս¡·Ô´´úÂëÎļþ£¨ÐèÒªÏÂÔØ£©
¥64.20¶¨¼Û£º¥89.00 (7.22ÕÛ)
ʵս´óÊý¾Ý(Hadoop+Spark+Flink)¡ª¡ª´Óƽ̨¹¹½¨µ½½»»¥Ê½Êý¾Ý·ÖÎö(ÀëÏß/ʵʱ)
ÃæÏò´óÊý¾Ý¿ª·¢¹¤³Ìʦ£¬´óÊý¾ÝÔËά¹¤³Ìʦ ΧÈÆHadoop¡¢Spark¡¢FlinkÈý´óÖ÷Á÷ƽ̨£¬Ïê½â´óÊý¾Ýƽ̨µÄ´î½¨¼°Êý¾Ý·ÖÎö£¨ÀëÏß/ʵʱ£© ËæÊéÅ䱸ȫÌ×Êý¾Ý¼¯¡¢°²×°°ü¡¢ÅäÖÃÎļþ¡¢º£Á¿½ÌѧÊÓƵ£¨½ü30GB£©£¬·½±ãѧÓÃ
¥69.90
Hadoop 3.x´óÊý¾Ý¿ª·¢ÊµÕ½(ÊÓƵ½Ìѧ°æ)
±¾ÊéÓÉ×ÊÉî´óÊý¾Ýר¼ÒÇãÁ¦Ôì ÒÔHadoop 3.x¼°ÆäÖܱ߿ò¼ÜΪÖ÷Ïߣ¬½éÉÜÁËÕû¸öHadoopÉú̬ϵͳÖ÷Á÷µÄ´óÊý¾Ý·¢¼¼Êõ¡£ º¸ÇHadoop 3.xÉú̬ϵͳ¸÷¿ò¼ÜHDFS¡¢MapReduce¡¢YARN¡¢ZooKeeper¡¢HBase¡¢Hive¡¢SqoopºÍÊý¾Ýʵʱ´¦ÀíϵͳFlume¡¢Kafka¡¢Storm¡¢SparkÒÔ¼°·Ö²¼Ê½ËÑË÷ϵͳElasticsearchµÈµÄ»ù´¡ÖªÊ¶¡¢¼Ü¹¹ÔÀí¡¢¼¯Èº»·¾³´î½¨£¬Í¬Ê±°üÀ¨³£ÓõÄShellÃüÁî¡¢API²Ù×÷¡¢Ô´ÂëÆÊÎö£¬²¢Í¨¹ýʵ¼Ê°¸Àý¼ÓÉî¶Ô¸÷¸ö¿ò¼ÜµÄÀí½âÓëÓ¦ÓᣠȫÊéÉîdz³ö£¬Ê¹ÓÃÁË´óÁ¿Ö±¹ÛµÄÒ×ÓÚÀí½âµÄͼʾ£¬´úÂë¿É¶ÁÐÔÇ¿£¬¼´Ê¹Ã»ÓÐÈκδóÊý¾Ý»ù´¡µÄ¶ÁÕߣ¬Ò²¿ÉÒÔ¶ÔÕÕÊéÖеIJ½Öè³É¹¦´î½¨ÊôÓÚ×Ô¼ºµÄ´óÊý¾Ý¼¯Èº£¬Í¨¹ý¶Ô±¾ÊéµÄѧϰ£¬¶ÁÕßÄܹ»¶Ô´óÊý¾ÝÏà¹Ø¿ò¼ÜѸËÙÀí½â²¢ÕÆÎÕ£¬¿ÉÒÔÊìÁ·Ê¹ÓÃHadoop 3.x¼¯³É»·¾³ÐдóÊý¾ÝÏîÄ¿µÄ·¢¡£ Ϊ·½±ã¶ÁÕßʹÓñ¾Ê飬ÊéÖл¹ÌṩÁËÔ´´úÂëºÍPPT¿Î¼þ£¬É¨Ãè±¾ÊéÇ°ÑÔÖеĶþάÂë¼´¿ÉÏÂÔØ£¬×÷Õß»¹Îª±¾Êé
¥69.30
£¨1£©ÌåϵÍêÕû£¬ÄÚÈݷḻ¡£ £¨2£©´ÓÁãÆð²½£¬ÑÐò½¥½ø¡£ £¨3£©´óÁ¿²åͼ£¬Ò×ÓÚÀí½â¡£ £¨4£©·á¸»µÄʵս°¸Àý¡£ £¨5£©ÏνÓÔËά£¬ÎÞÐëµ£ÐÄ´óÊý¾Ý¼¯Èº»·¾³ÎÊÌâ¡£ £¨6£©·á¸»µÄ´óÊý¾Ý¼Ü¹¹°¸Àý¡£
¥115.30¶¨¼Û£º¥146.00 (7.9ÕÛ)
Hadoop HDFSÉî¶ÈÆÊÎöÓëʵ¼ù »¥ÁªÍø´ó³§¼¼Êõר¼ÒÁ¦×÷;´óÊý¾Ý´ÓÒµÕßÈëÃÅ;ÔùËͲÙ×÷ÊÓƵºÍÏîÄ¿Ô´Âë
1. »¥ÁªÍø´ó³§¼¼Êõר¼ÒÇãÁ¦Ö®×÷£¬´óÊý¾Ý´ÓÒµÕßÈëÃÅ¡£ 2. 140·ÖÖÓ½²½âÊÓƵɨÂë¼´¿É¹Û¿´¡£ 3. HadoopÏîÄ¿Ô´´úÂëÃâ·ÑÏÂÔØ¡£
¥74.20¶¨¼Û£º¥99.00 (7.5ÕÛ) µç×ÓÊ飺¥59.00
Hadoop 3´óÊý¾Ý¼¼Êõ¿ìËÙÈëÃÅ ÇáËÉѧ»áHadoop¡¢Hive¡¢HBase¡¢Docker¼¼Êõ,ÕÆÎÕ´óÊý¾Ý¼¼Êõ
±¾Êé»ùÓÚHadoop 3.3.0£¬¸²¸ÇHadoop¡¢HBase¡¢HiveµÄºËÐĸÅÄʵ¼ùÓ¦ÓᢳÌÐò¿ª·¢µÈ·½ÃæµÄÄÚÈÝ£¬°ïÄã¿ìËÙ½â¾ö´óÊý¾ÝÊÇʲôºÍÔõôÓõÄÎÊÌ⣬ ÊéÖл¹ÀûÓÃDockerÀ´²¿ÊðHadoop·Ö²¼Ê½¼¯Èº£¬ÈÃÄãͬʱѧ»á4ÖÖÁ÷Ðеļ¼Êõ¡£ ±¾ÊéÊʺÏJava´óÊý¾Ý¿ª·¢ÈËÔ±¿ìËÙÕÆÎÕHadoop¼¼Êõ¡£
¥59.00¶¨¼Û£º¥59.00µç×ÓÊ飺¥41.30
Hadoop¹¹½¨Êý¾Ý²Ö¿âʵ¼ù ͨ¹ý¹¹½¨Êý¾Ý²Ö¿â£¬ÉîÈëѧϰHadoop, ÇáËÉÕÆÎÕ´óÊý¾Ý¼¼Êõ
±¾Êé¹²13Õ£¬Ö÷ÒªÄÚÈÝ°üÀ¨Êý¾Ý²Ö¿â¡¢Hadoop¼°ÆäÉú̬ȦµÄÏà¹Ø¸ÅÄʹÓÃSqoop´Ó¹ØϵÊý¾Ý¿âÈ«Á¿»òÔöÁ¿³éÈ¡Êý¾Ý£¬Ê¹ÓÃHive½øÐÐÊý¾Ýת»»ºÍ×°ÔØ´¦Àí£¬Ê¹ÓÃOozieµ÷¶È×÷ÒµÖÜÆÚÐÔÖ´ÐУ¬Ê¹ÓÃImpala½øÐпìËÙÁª»úÊý¾Ý·ÖÎö£¬Ê¹ÓÃHue½«Êý¾Ý¿ÉÊÓ»¯£¬ÒÔ¼°Êý¾Ý²Ö¿âÖеĽ¥±äά£¨SCD£©¡¢´úÀí¼ü¡¢½ÇÉ«°çÑÝά¶È¡¢²ã´Îά¶È¡¢ÍË»¯Î¬¶È¡¢ÎÞÊÂʵµÄÊÂʵ±í¡¢³Ùµ½µÄÊÂʵ¡¢ÀÛ»ýµÄ¶ÈÁ¿µÈ³£¼ûÎÊÌâÔÚHadoopÉϵĴ¦ÀíµÈ¡£±¾ÊéÊʺÏÊý¾Ý¿â¹ÜÀíÔ±¡¢´óÊý¾Ý¼¼ÊõÈËÔ±¡¢Hadoop¼¼ÊõÈËÔ±¡¢Êý¾Ý²Ö¿â¼¼ÊõÈËÔ±£¬Ò²ÊʺϸߵÈԺУºÍÅàѵѧУÏà¹ØרҵµÄʦÉú½Ìѧ²Î¿¼¡£
¥89.00¶¨¼Û£º¥89.00µç×ÓÊ飺¥26.99
±¾Êé»ùÓÚHadoop 3.1.3±àд£¬´Ó´óÊý¾ÝµÄÌصãºÍ´¦ÀíÄѵãÈëÊÖ£¬Öð²½½²½âHadoopµÄÆðÔ´ºÍ·¢Õ¹¡£
¥52.50
¥105.00¶¨¼Û£º¥105.00µç×ÓÊ飺¥52.50
±¾Êé»ùÓÚHadoop 3.3.0£¬¸²¸ÇHadoop¡¢HBase¡¢HiveµÄºËÐĸÅÄʵ¼ùÓ¦ÓᢳÌÐò·¢µÈ·½ÃæµÄÄÚÈÝ£¬°ïÄã¿ìËÙ½â¾ö´óÊý¾ÝÊÇʲôºÍÔõôÓõÄÎÊÌâ¡£±¾ÊéÊʺÏJava´óÊý¾Ý·¢ÈËÔ±¿ìËÙÕÆÎÕHadoop¼¼Êõ¡£
¥41.30
¥43.00¶¨¼Û£º¥59.00 (7.29ÕÛ)
Hadoop½ðÈÚ´óÊý¾Ý·ÖÎö ÍõСÄþ ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
ÔÚ»¥ÁªÍø+ʱ´ú£¬Êý¾ÝÊÇÖËÊÖ¿ÉÈȵÄÖØÒª×ÊÔ´£¬ÍøÂçʹÓûù´¡µÄÌáÉý£¬Êý¾ÝÁ÷Á¿Ôö´ó£¬Óû§ÐèÇó¶àÑù»¯ºÍ¶à±ä¶Ô¼Ü¹¹Éè¼ÆÌá³öÑϾþ¿¼Ñ飬¶øHadoopΪ¿ìËÙÏìÓ¦Óû§ÐèÇóÌṩÁËÖØÒª¼¼ÊõÖ§³Å¡£×÷ÕßRajivTiwari´ÓÊÂÊý¾ÝÑо¿½ü5Ä꣬ÔÚHadoopÓ¦Ó÷½ÃæÓÐÐí¶àʵս¾Ñ飬Ëûͨ¹ýʵ¼Ê°¸Àý°ïÕßѧϰÈçºÎ½èÖúHadoopÀ´´¦Àí¾Þ´óÊý¾ÝÐÅÏ¢£¬¶ÔÓÚ¿ª·¢Õß¡¢·ÖÎöʦ¡¢¼Ü¹¹Ê¦¡¢¹ÜÀíÕߵȶ¼¾ßÓкܺõÄÖ¸µ¼¡£
¥15.70¶¨¼Û£º¥57.87 (2.72ÕÛ)
1.±¾Êé½øÐа汾¸üУ¬ÒÔеÄÎȶ¨°æHBase 2.4.9Ϊ»ù´¡£¬½«HadoopÉý¼¶µ½2.10.1°æ±¾£¬¶Ô¿Í»§¶ËAPI×öÁËÖØ°õÉý¼¶¡£ 2.±¾ÊéרעÓÚHBaseÔÚÏßʵʱϵͳµÄµ÷ÓÅ£¬Ê¹HBase¼¯ÈºÏìÓ¦ÑÓ³Ù¸üµÍ¡£ 3.±¾Êé½áºÏÆóÒµÐèÒªµÄ¡°Óû§ÐÐΪÈÕ־ϵͳ¡±£¬ÈöÁÕßÄܹ»¿ìËÙÉÏÊÖµÄͬʱ£¬×öµ½´ÓÈëÃŵ½Êµ¼ù¡£
¥69.80¶¨¼Û£º¥69.80µç×ÓÊ飺¥44.67
±¾Êé½áºÏÀíÂÛºÍʵ¼ù£¬ÓÉdzÈëÉȫ·½Î»½éÉÜÁËHadoop ÕâÒ»¸ßÐÔÄܵĺ£Á¿Êý¾Ý´¦ÀíºÍ·ÖÎöƽ̨¡£È«Êé5²¿·Ö24 Õ£¬µÚ¢ñ²¿·Ö½éÉÜHadoop »ù´¡ÖªÊ¶£¬µÚ¢ò²¿·Ö½éÉÜMapReduce,µÚ¢ó²¿·Ö½éÉÜHadoop µÄÔËά£¬µÚ¢ô²¿·Ö½éÉÜHadoop Ïà¹Ø¿ªÔ´ÏîÄ¿£¬µÚ¢õ²¿·ÖÌṩÁËÈý¸ö°¸Àý£¬·Ö±ðÀ´×ÔÒ½ÁÆÎÀÉúÐÅÏ¢¼¼Êõ·þÎñÉÌÈûÄÉ(Cerner)¡¢Î¢ÈíµÄÈ˹¤ÖÇÄÜÏîÄ¿ADAM(Ò»ÖÖ´ó¹æÄ£·Ö²¼Ê½Éî¶Èѧϰ¿ò¼Ü)ºÍ¿ªÔ´ÏîÄ¿Cascading(Ò»¸öеÄÕë¶ÔMapReduce µÄÊý¾Ý´¦ÀíAPI)¡£±¾ÊéÊÇÒ»±¾×¨Òµ¡¢È«ÃæµÄHadoop ²Î¿¼ÊéºÍ¹¤¾ßÊ飬²ûÊöÁËHadoop Éú̬ȦµÄз¢Õ¹ºÍÓ¦Ó㬳ÌÐòÔ±¿ÉÒÔ´ÓÖÐ̽Ë÷º£Á¿Êý¾Ý¼¯µÄ´æ´¢ºÍ·ÖÎö£¬¹ÜÀíÔ±¿ÉÒÔ´ÓÖÐÁ˽âHadoop ¼¯ÈºµÄ°²×°ºÍÔËά¡£
¥6.00¶¨¼Û£º¥31.37 (1.92ÕÛ)
Hadoop ÊÇÄ¿Ç°ÊܹØ×¢µÄ´óÊý¾Ý´¦Àíƽ̨ºÍ½â¾ö·½°¸£¬²¢ÇÒÒѾ¹ã·ºÓ¦ÓÃÓÚÉú²ú»·¾³¡£±¾Êé»ùÓÚÐ嵀 Hadoop £¨ CDH5 £¬ ApacheHadoop 2.6 £©°æ±¾½éÉÜ Hadoop ¼¼ÊõµÄÏà¹Ø֪ʶ£¬²»µ«Ïêϸ½éÉÜÁË Hadoop ¡¢ HDFS ¡¢ YARN ¡¢ MapReduce ¡¢ Hive ¡¢ Sqoop ºÍ HBase µÈ£¬»¹ÉîÈë̽ÌÖÁË Hadoop ¡¢ HBase µÄÔËάºÍÐÔÄܵ÷ÓÅ£¬²¢°üº¬ÁËÒ»¸ö¾ßÓдú±íÐÔµÄÍêÕûµÄ»ùÓÚ Hadoop µÄÉÌÒµÖÇÄÜϵͳµÄÉè¼ÆºÍʵÏÖ¡£ ±¾ÊéµÄ´óÌصãÊÇÃæÏòʵ¼ù¡£»ù´¡Æª½éÉÜ Hadoop ¼°Ïà¹Ø×é¼þµÄͬʱ£¬°üº¬ÁË´óÁ¿¶¯ÊÖʵÀý£¬¶øÓ¦ÓÃƪ°üº¬µÄ»ùÓÚ Hadoop µÄÍêÕûʵÀýÍÑÌ¥ÓÚÉú²ú»·¾³µÄÕæʵÏîÄ¿¡£ÔÚÓ¦ÓÃƪÖУ¬¶ÁÕß²»½öÄܹ»Í¨¹ýÏîĿʵս¹®¹Ì»ù´¡ÆªµÄѧϰЧ¹û£¬»¹ÄÜѧϰÉÌÒµÖÇÄÜϵͳµÄ¿ª·¢¹ý³Ì¡£ ±¾ÊéÓÉdzÖÁÉ´ÓÀíÂÛ»ù´¡µ½ÏîĿʵս£¬ÊÊºÏ Hadoop µÄ³õѧÕßÔĶÁ£¬Ò²¿ÉÒÔ×÷Ϊ¸ßµÈԺУÏà¹Ø¿Î³ÌµÄ½Ìѧ²Î¿¼Êé¡£ ±¾ÊéÖ÷ÒªÄÚÈÝ °üº¬ÁË Hadoop аæ
¥43.90¶¨¼Û£º¥59.00 (7.45ÕÛ) µç×ÓÊ飺¥12.49
¡¶ÇáËÉѧSQL Server´ÓÈëÃŵ½ÊµÕ½£¨°¸Àý ÊÓƵ ²ÊÉ«°æ£©¡·´Ó³õѧÕßÈÝÒ×ÉÏÊÖ¡¢ÇáËÉ¿ìËÙѧ»áµÄ½Ç¶È£¬²ÉÓÃJava SQL Server 2019¿ª·¢»·¾³£¬ÓÃͨË×Ò׶®µÄÓïÑÔ¡¢·á¸»ÊµÓõݸÀýºÍ8¸öµäÐÍÐÐÒµ¹ÜÀíÐÅϢϵͳ¿ª·¢ÏîĿʵս£¬ÉîÈëdz³ö¡¢ÑÐò½¥½øµØ½²½âSQL Server 2019¹ØϵÊý¾Ý¿âϵͳµÄºËÐÄ֪ʶµã¼°Ó¦Óÿª·¢¼¼Êõ£¬ÊµÏÖÊÖ°ÑÊÖ½ÌÄã´ÓÁã»ù´¡ÈëÃŵ½¿ìËÙѧ»áSQL ServerÊý¾Ý¿âϵͳӦÓÃÏîÄ¿¿ª·¢¡£ ±¾Êé¼ÈÊʺÏÁã»ù´¡ÈëÃŵijõ¶ÁÕß¡¢ÓÐÒ»¶¨Êý¾Ý¿â»ù´¡µÄ³õ¡¢Öм¶¹¤³ÌʦÔĶÁ£¬Ò²ÊʺÏ×÷Ϊ¸ßµÈԺУ»òÅàѵ»ú¹¹Ïà¹ØרҵÊý¾Ý¿â¿Î³Ì½Ì²ÄÒÔ¼°Ñ§Éú¿Î³ÌÉè¼Æ»ò±ÏÒµÉè¼ÆµÄ²Î¿¼Êé¡£±¾Êé¾ßÓÐÒÔϼ¸¸öÌص㣺 £¨1£©ÄÚÈݾ«Á·£¬ÔĶÁÐԺᣠ±¾ÊéÄÚÈݼ°×éÖ¯½á¹¹¾¹ý×÷Õß¾«ÐıàÅÅ£¬·ûºÏÈËÃǵÄÈÏʶ¹æÂÉ£¨ÑÐò½¥½ø¡¢ÓÉdzÈëÉ£¬¶ø²»ÊÇÔÓÂÒÎÞÕµØËæÒâ¶ÑÆö£¬²»ÊÇ´ó¶øÈ«¡¢ÃæÃæ¾ãµ½£¬¶øÊÇÕ¾ÔÚ³õѧÕߵĽǶÈ
¥82.70¶¨¼Û£º¥89.80 (9.21ÕÛ)
±¾Êéϵͳ½²½âHadoopÉú̬Ȧ¸÷×é¼þµÄºËÐÄ֪ʶ¡¢²Ù×÷·½·¨ºÍ·ÖÎö¼¼Êõ£¬²¢Í¨¹ýÁ½¸ö×ÛºÏʵսÏîÄ¿ Ó°ÆÀ´óÊý¾Ý·ÖÎö¡¢ÂÃÓξƵêÆÀ¼Û´óÊý¾Ý·ÖÎö£¬À´¹á´©Hadoop´óÊý¾Ý·ÖÎöµÄÍêÕûÁ÷³Ì¡£
¥48.30
Hadoop´óÊý¾Ý¿ª·¢»ù´¡£¨µÚ2°æ£©£¨Î¢¿Î°æ£©
1. È«Êé½ô¿ÛÈÎÎñÐèÇóÕ¹¿ª£¬²»¶Ñ»ý֪ʶµã 2. ËæÊ鸽´øÔ´Â룬΢¿ÎÊÓƵ£¬·½±ã¶ÁÕßϵͳѧϰ²¢¶¯ÊÖʵ¼ù 3. ʵս°¸Àý·á¸» 4. 1 X ´óÊý¾ÝÓ¦Óÿª·¢£¨Python£©Ö°Òµ¼¼Äܵȼ¶Ö¤Ê飨Öм¶£©ÅäÌ׽̲Ä
¥43.60¶¨¼Û£º¥59.80 (7.3ÕÛ)
±¾ÊéÈ«Ãæ½²½âHadoopÉú̬Ȧ¸÷×é¼þµÄºËÐÄ֪ʶ¡¢²Ù×÷ºÍ·ÖÎö¼¼Êõ£¬ÏµÍ³½éÉÜSpark¿ò¼Ü´î½¨¡¢²Ù×÷ºÍµäÐ͵ĻúÆ÷ѧϰ·ÖÎö¼¼Êõ¡£ºóͨ¹ýÁ½¸ö×ÛºÏʵսÏîÄ¿ Ó°ÆÀ·ÖÎö¡¢ÂÃÓξƵêÆÀ¼Û·ÖÎö£¬À´¹á´©´óÊý¾Ý·ÖÎöµÄÍêÕûÁ÷³Ì¡£
¥48.30
Hadoop´óÊý¾Ý·Ö²¼Ê½¼ÆËã¿ò¼Ü--ÔÀíÓëÓ¦ÓÃ
¥52.30¶¨¼Û£º¥65.00 (8.05ÕÛ)
¥29.00¶¨¼Û£º¥39.80 (7.29ÕÛ)
¥54.30¶¨¼Û£º¥68.80 (7.9ÕÛ)
HadoopȨÍþÖ¸ÄÏ£¨µÚ3°æ ÐÞ¶©°æ£© [ÃÀ]Tom Whi ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
×¼±¸ºÃÊÍ·ÅÊý¾ÝµÄÇ¿´óDZÄÜÁËÂðؼ£¿½èÖúÓÚÕâ±¾±¾Ê飬Ä㽫ѧϰµÄÈçºÎʹÓÃApacheHadoop¹¹½¨ºÍά»¤Îȶ¨ÐԸߡ¢ÉìËõÐÔÇ¿µÄ·Ö²¼Ê½ÏµÍ³¡£±¾ÊéÊÇΪ³ÌÐòԱдµÄ£¬¿É°ïÖúËûÃÇ·ÖÎöÈκδóСµÄÊý¾Ý¼¯¡£±¾ÊéͬʱҲÊÇΪ¹ÜÀíԱдµÄ£¬°ïÖúËûÃÇÁ˽âÈçºÎÉèÖúÍÔËÐÐHadoop¼¯È¹¡£±¾Êéͨ¹ý·á¸»µÄ°¸ÀýѧϰµÄÀ´½âÊÍHadoopµÄÄ»ºó»úÀí£¬²ûÊöÁËHadoopÈçºÎ½â¾öÏÖʵÉú»îÖеľßÌåÎÊÌâ¡£µÚ3°æ¸²¸ÇHadoopµÄж¯Ì¬£¬°üÀ¨ÐÂÔöµÄMapReduceAPI£¬ÒÔ¼°MapReduce2¼°ÆäÁé»îÐÔ¸üÇ¿µÄÖ´ÐÐÄ£ÐÍ£¨YARN£©¡£
¥15.59¶¨¼Û£º¥99.46 (1.57ÕÛ)
HadoopȨÍþÖ¸ÄÏ£¨µÚ3°æ ÐÞ¶©°æ£© [ÃÀ]Tom Whi ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
×¼±¸ºÃÊÍ·ÅÊý¾ÝµÄÇ¿´óDZÄÜÁËÂðؼ£¿½èÖúÓÚÕâ±¾±¾Ê飬Ä㽫ѧϰµÄÈçºÎʹÓÃApacheHadoop¹¹½¨ºÍά»¤Îȶ¨ÐԸߡ¢ÉìËõÐÔÇ¿µÄ·Ö²¼Ê½ÏµÍ³¡£±¾ÊéÊÇΪ³ÌÐòԱдµÄ£¬¿É°ïÖúËûÃÇ·ÖÎöÈκδóСµÄÊý¾Ý¼¯¡£±¾ÊéͬʱҲÊÇΪ¹ÜÀíԱдµÄ£¬°ïÖúËûÃÇÁ˽âÈçºÎÉèÖúÍÔËÐÐHadoop¼¯È¹¡£±¾Êéͨ¹ý·á¸»µÄ°¸ÀýѧϰµÄÀ´½âÊÍHadoopµÄÄ»ºó»úÀí£¬²ûÊöÁËHadoopÈçºÎ½â¾öÏÖʵÉú»îÖеľßÌåÎÊÌâ¡£µÚ3°æ¸²¸ÇHadoopµÄж¯Ì¬£¬°üÀ¨ÐÂÔöµÄMapReduceAPI£¬ÒÔ¼°MapReduce2¼°ÆäÁé»îÐÔ¸üÇ¿µÄÖ´ÐÐÄ£ÐÍ£¨YARN£©¡£
¥7.00¶¨¼Û£º¥31.95 (2.2ÕÛ)
HadoopȨÍþÖ¸ÄÏ [ÃÀ]Tom Wbi ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·´ÓHadoopµÄÔµÆð¿ªÊ¼£¬ÓÉdzÈëÉ½áºÏÀíÂÛºÍʵ¼ù£¬È«·½Î»µØ½éÉÜHadoopÕâÒ»¸ßÐÔÄÜ´¦Àíº£Á¿Êý¾Ý¼¯µÄÀíÏ빤¾ß¡£¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·¹²6Õ£¬3¸ö¸½Â¼£¬Éæ¼°µÄÖ÷Ìâ°üÀ¨ Haddoop¼ò½é MapReduce¼ò½é Hadoop·Ö²¼Ê½Îļþϵͳ HadoopµÄI/O¡¢MapReduceÓ¦ÓóÌÐò¿ª·¢ MapReduceµÄ¹¤×÷»úÖÆ MapReduceµÄÀàÐͺ͸ñʽ MapReduceµÄÌØÐÔ ÈçºÎ¹¹½¨Hadoop¼¯È¹£¬ÈçºÎ¹ÜÀíHadoop Pig¼ò½é Hbase¼ò½é Hive¼ò½é ZooKeeper¼ò½é ¿ªÔ´¹¤¾ßSqoop£¬»¹ÌṩÁ˷ḻµÄ°¸Àý·ÖÎö¡£¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·ÊÇHadoopȨÍþ²Î¿¼£¬³ÌÐòÔ±¿É´ÓÖÐ̽Ë÷ÈçºÎ·ÖÎöº£Á¿Êý¾Ý¼¯£¬¹ÜÀíÔ±¿ÉÒÔ´ÓÖÐÁ˽âÈçºÎ°²×°ÓëÔËÐÐHadoop¼¯È¹¡£
¥7.00¶¨¼Û£º¥31.87 (2.2ÕÛ)
HadoopȨÍþÖ¸ÄÏ [ÃÀ]Tom Wbi ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·´ÓHadoopµÄÔµÆð¿ªÊ¼£¬ÓÉdzÈëÉ½áºÏÀíÂÛºÍʵ¼ù£¬È«·½Î»µØ½éÉÜHadoopÕâÒ»¸ßÐÔÄÜ´¦Àíº£Á¿Êý¾Ý¼¯µÄÀíÏ빤¾ß¡£¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·¹²6Õ£¬3¸ö¸½Â¼£¬Éæ¼°µÄÖ÷Ìâ°üÀ¨ Haddoop¼ò½é MapReduce¼ò½é Hadoop·Ö²¼Ê½Îļþϵͳ HadoopµÄI/O¡¢MapReduceÓ¦ÓóÌÐò¿ª·¢ MapReduceµÄ¹¤×÷»úÖÆ MapReduceµÄÀàÐͺ͸ñʽ MapReduceµÄÌØÐÔ ÈçºÎ¹¹½¨Hadoop¼¯È¹£¬ÈçºÎ¹ÜÀíHadoop Pig¼ò½é Hbase¼ò½é Hive¼ò½é ZooKeeper¼ò½é ¿ªÔ´¹¤¾ßSqoop£¬»¹ÌṩÁ˷ḻµÄ°¸Àý·ÖÎö¡£¡¶O -Reilly HadoopȨÍþÖ¸ÄÏ£¨µÚ2°æÐÞ¶©Éý¼¶°æ£©¡·ÊÇHadoopȨÍþ²Î¿¼£¬³ÌÐòÔ±¿É´ÓÖÐ̽Ë÷ÈçºÎ·ÖÎöº£Á¿Êý¾Ý¼¯£¬¹ÜÀíÔ±¿ÉÒÔ´ÓÖÐÁ˽âÈçºÎ°²×°ÓëÔËÐÐHadoop¼¯È¹¡£
¥11.74¶¨¼Û£º¥89.96 (1.31ÕÛ)
±¾ÊéÉîdz³öµØ½éÉÜÁËHadoop¼°ÆäÖܱ߿ò¼Ü£¬º¸ÇÁ˵±Ç°Õû¸öHadoopÉú̬ϵͳÖ÷Á÷µÄ´óÊý¾Ý¼¼Êõ¡£ÄÚÈÝ°üÀ¨£ºHDFS¡¢MapReduce¡¢YARN¡¢ZooKeeper¡¢HBase¡¢Hive¡¢SqoopºÍÊý¾Ýʵʱ´¦ÀíϵͳFlume¡¢Kafka¡¢Storm¡¢SparkÒÔ¼°·Ö²¼Ê½ËÑË÷ϵͳElasticsearchµÈµÄ»ù´¡ÖªÊ¶¡¢¼Ü¹¹ÔÀí¡¢¼¯Èº»·¾³´î½¨£¬Í¬Ê±½éÉÜÁ˳£ÓÃShellÃüÁî¡¢API²Ù×÷¡¢Ô´ÂëÆÊÎö£¬²¢Í¨¹ýʵ¼Ê°¸Àý¼ÓÉî¶ÁÕ߶Ը÷¸ö¿ò¼ÜµÄÀí½âºÍÓ¦Óᣠͨ¹ýÔĶÁ±¾Ê飬¶ÁÕßÄܹ»¶Ô´óÊý¾ÝÏà¹Ø¿ò¼ÜѸËÙÀí½â²¢ÕÆÎÕ£¬¼´Ê¹Ã»ÓÐÈκδóÊý¾Ý»ù´¡Ò²¿ÉÒÔ¶ÔÕÕÊéÖеIJ½Öè³É¹¦µØ´î½¨ÊôÓÚ×Ô¼ºµÄ´óÊý¾Ý¼¯Èº£¬Ê¹ÓÃHadoop¼¯³É»·¾³Ðз¢¡¢µ÷ÊÔºÍÔËÐгÌÐò£¬¹¹½¨×Ô¼ºµÄ´óÊý¾ÝÓ¦Óᣠ±¾ÊéÄÚÈÝÉæ¼°Ãæ¹ã£¬²½Öè½²½âÇåÎú£¬´úÂë¿É¶ÁÐÔÇ¿¡£È«ÊéÒÔʵ²ÙΪÖ÷£¬ÀíÂÛΪ¸¨£¬ÊʺÏÓû¿ìËÙÕÆÎÕ´óÊý¾Ý·¢¼¼ÊõµÄ³õѧÕߣ¬ÒàÊʺÏתÐÍ´óÊý¾Ý·¢µÄ³ÌÐòÔ±ºÍÏà¹ØרҵµÄÔÚУѧÉúÔĶÁ¡£
¥69.30
²©¿ÍÔ°×ÊÉÖ÷¡¢¼«¿ÍѧԺÌØÑû½²Ê¦·ÖÏí¶àÄêµÄHadoopʹÓþÑé È«Ã溸ÇÁËHadoop´Ó»ù´¡²¿Êðµ½¼¯Èº¹ÜÀí£¬ÔÙµ½µ×²ãÉè¼ÆµÈÖصãÄÚÈÝ Éî¶ÈÆÊÎöKafka¿ªÔ´¼à¿Ø¹¤¾ßKafka EagleµÄÉè¼ÆºÍ¼Ü¹¹Ë¼Ïë ÌṩÁ˽ü200·ÖÖÓÅäÌ×½ÌѧÊÓƵ£¬ÊÖ°ÑÊÖ´øÁì¶ÁÕ߸ßЧѧϰ Ïê½â51¸öʵÀýºÍ10¸ö×ۺϰ¸Àý£¬´øÁì¶ÁÕßͨ¹ýʵ¼Ê¶¯ÊÖÌá¸ß±à³Ìˮƽ ÊéÖеÄËùÓÐʵÀýºÍ°¸Àý¾ùÀ´Ô´ÓÚ×÷Õ߶àÄêµÄ¹¤×÷¾Ñé»ýÀۺͼ¼Êõ·ÖÏí ¸ø³öÁË´óÁ¿µÄ ±Ü¿Ó ¼¼ÇÉ£¬ÈöÁÕßÔÚʵ¼Ê¿ª·¢ÖÐÉÙ×ßÍä· ÓÃdzÏÔÒ׶®µÄÓïÑÔ½øÐн²½â£¬¶ÁÕßÔĶÁʱ²»»áÓÐÔÆɽÎíÕֵĸоõ ±¾ÊéÄÚÈÝËÙÀÀ£º ¼¯Èº¼°¿ª·¢»·¾³´î½¨ ¿ìËÙ¹¹½¨Ò»¸öHadoopÏîÄ¿²¢ÏßÉÏÔËÐÐ HadoopÌ×¼þʵս Hive±à³Ì ʹÓÃSQLÌá½»MapReduceÈÎÎñµ½Hadoop¼¯Èº ÓÎÏ·Íæ¼ÒµÄÓû§ÐÐΪ·ÖÎö ÌØÕ÷ÌáÈ¡ Hadoopƽ̨¹ÜÀíÓëά»¤ HadoopÒì³£´¦Àí½â¾ö·½°¸ ³õʶHadoopºËÐÄÔ´Âë HadoopͨÐÅ»úÖƺÍÄÚ²¿ÐÒé Hadoop
¥74.20¶¨¼Û£º¥99.00 (7.5ÕÛ)
Cloudera Hadoop´óÊý¾Ýƽ̨ʵսָÄÏ Í¨¹ýʵս°¸Àý½²½â,ÇáËÉÈëÃÅ´óÊý¾Ýƽ̨
±¾ÊéµÄ¶¨Î»ÊÇ´óÊý¾Ý´ÓÈëÃŵ½Ó¦ÓõļòÃ÷ϵͳ½Ì³Ì¡£¶ÔÓÚHadoopÉú̬Ìåϵ£¬Æóҵͨ³£Ê¹ÓõÄÊÇHadoopÉÌÒµ°æ±¾£¬Òò´Ë±¾Êéʵ²ÙµÄÔËÐл·¾³²ÉÓÃClouderaµÄCDH¡£±¾ÊéµÄÌØÉ«ÊÇÀíÂÛÁªÏµÊµ¼ù¡¢ÊµÓÃÐÔÇ¿¡¢ÄÚÈÝÈ«Ãæ¡¢½²½âÏêϸ¡¢ÉîÈëdz³ö£¬ÊÇ´óÊý¾Ý¼¼Êõ°®ºÃÕßÈëÃŵÄ*ͼÊé¡£±¾Êé*ºó¸ø³öµÄÁ½¸öʵս°¸Àý¼«ÓмÛÖµ£¬·½±ã¶ÁÕ߶ÔËùѧµÄ֪ʶÈÚ»á¹áͨ¡£
¥59.00¶¨¼Û£º¥59.00
HadoopȨÍþÖ¸ÄÏ£¨µÚ3°æ ÐÞ¶©°æ£© [ÃÀ]Tom Whi ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
×¼±¸ºÃÊÍ·ÅÊý¾ÝµÄÇ¿´óDZÄÜÁËÂðؼ£¿½èÖúÓÚÕâ±¾±¾Ê飬Ä㽫ѧϰµÄÈçºÎʹÓÃApacheHadoop¹¹½¨ºÍά»¤Îȶ¨ÐԸߡ¢ÉìËõÐÔÇ¿µÄ·Ö²¼Ê½ÏµÍ³¡£±¾ÊéÊÇΪ³ÌÐòԱдµÄ£¬¿É°ïÖúËûÃÇ·ÖÎöÈκδóСµÄÊý¾Ý¼¯¡£±¾ÊéͬʱҲÊÇΪ¹ÜÀíԱдµÄ£¬°ïÖúËûÃÇÁ˽âÈçºÎÉèÖúÍÔËÐÐHadoop¼¯È¹¡£±¾Êéͨ¹ý·á¸»µÄ°¸ÀýѧϰµÄÀ´½âÊÍHadoopµÄÄ»ºó»úÀí£¬²ûÊöÁËHadoopÈçºÎ½â¾öÏÖʵÉú»îÖеľßÌåÎÊÌâ¡£µÚ3°æ¸²¸ÇHadoopµÄж¯Ì¬£¬°üÀ¨ÐÂÔöµÄMapReduceAPI£¬ÒÔ¼°MapReduce2¼°ÆäÁé»îÐÔ¸üÇ¿µÄÖ´ÐÐÄ£ÐÍ£¨YARN£©¡£
¥7.00¶¨¼Û£º¥31.63 (2.22ÕÛ)
Hadoop¼¼ÊõÏê½â(¡°Ê®¶þÎ塱¹ú¼ÒÖصãͼÊé³ö°æ¹æ»®ÏîÄ¿)
HadoopÁìÓòÖÐ**±¾²Ù×÷ÊÖ²á´óÈ«¡£ ¶Ô¸÷²ã¼¶µÄHadoopʹÓÃÕ߶¼Óнè¼øÒâÒå¡£
¥37.76
1. »¥ÁªÍø´ó³§¼¼Êõר¼ÒÇãÁ¦Ö®×÷£¬´óÊý¾Ý´ÓÒµÕßÈëÃÅÍƼöÔĶÁ¡£2. 140·ÖÖÓ½²½âÊÓƵɨÂë¼´¿É¹Û¿´¡£3. HadoopÏîÄ¿Ô´´úÂëÃâ·ÑÏÂÔØ¡£
¥66.30¶¨¼Û£º¥99.00 (6.7ÕÛ)
Ã÷ÐǵêÆÌ ÎÄÐùÍøÆì½¢µê
¡°Hadoop¼¼ÊõÄÚÄ»¡±¹²Á½²á£¬·Ö±ð´ÓÔ´´úÂëµÄ½Ç¶È¶Ô¡°Common+HDFS¡±ºÍMapReduceµÄ¼Ü¹¹Éè¼ÆºÍʵÏÖÔÀí½øÐÐÁ˼«ÎªÏêϸµÄ·ÖÎö¡£¡¶Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöHadoopCommonºÍHDFS¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí¡·ÓÉÌÚѶÊý¾Ýƽ̨µÄHadoopר¼Ò¡¢X-RIMEµÄ×÷ÕßÇ××ÔÖ´±Ê£¬¶ÔCommonºÍHDFSµÄÔ´´úÂë½øÐÐÁË·ÖÎö£¬Ö¼ÔÚΪHadoopµÄÓÅ»¯¡¢¶¨ÖƺÍÀ©Õ¹ÌṩÔÀíÐÔµÄÖ¸µ¼¡£³ý´ËÖ®Í⣬±¾Ê黹´ÓÔ´´úÂëʵÏÖÖжԷֲ¼Ê½¼¼ÊõµÄ¾«Ëè¡¢·Ö²¼Ê½ÏµÍ³Éè¼ÆµÄ˼ÏëºÍ·½·¨£¬ÒÔ¼°JaÓïÑԵıàÂë¼¼ÇÉ¡¢±à³Ì¹æ·¶ºÍ¶ÔÉè¼ÆģʽµÄ¾«ÃîÔËÓýøÐÐÁË×ܽáºÍ·ÖÎö£¬¶ÔÌá¸ß¶ÁÕߵķֲ¼Ê½¼¼ÊõÄÜÁ¦ºÍJa±à³ÌÄÜÁ¦¶¼ºÜÓаïÖú¡£±¾ÊéÊʺÏHadoopµÄ¶þ´Î¿ª·¢ÈËÔ±¡¢Ó¦Óÿª·¢¹¤³Ìʦ¡¢ÔËά¹¤³ÌʦÔĶÁ¡£È«Êé9Õ£¬¹²·ÖΪÈý¸ö²¿·Ö ²¿·Ö£¨µÚÕ£©Ö÷Òª½éÉÜÁËHadoopÔ´´úÂëµÄ»ñÈ¡ºÍÔ´´úÂëÔĶÁ»·¾³µÄ´î½¨ µÚ¶þ²¿·Ö£¨µÚ2~5Õ£©¶ÔHadoop¹«¹²¹¤¾ßCommonµÄ¼Ü¹¹Éè¼ÆºÍʵÏÖÔÀí½ø
¥7.00¶¨¼Û£º¥31.76 (2.21ÕÛ)
Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöMapReduce¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí ¶Î÷³É ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
¡°Hadoop¼¼ÊõÄÚÄ»¡±¹²Á½²á£¬·Ö±ð´ÓÔ´´úÂëµÄ½Ç¶È¶Ô¡°Common+HDFS¡±ºÍ¡°MapReduceµÄ¼Ü¹¹Éè¼ÆºÍʵÏÖÔÀí¡±½øÐÐÁ˼«ÎªÏêϸµÄ·ÖÎö¡£¡¶Hadoop¼¼ÊõÄÚÄ» ÉîÈë½âÎöMapReduce¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí¡·ÓÉHadoopÁìÓòµÄʵ¼ùÕßÇ××ÔÖ´±Ê£¬Ê×ÏȽéÉÜÁËMapReduceµÄÉè¼ÆÀíÄîºÍ±à³ÌÄ£ÐÍ£¬È»ºó´ÓÔ´´úÂëµÄ½Ç¶ÈÉîÈë·ÖÎöÁËRPC¿ò¼Ü¡¢¿Í»§¶Ë¡¢JobTracker¡¢TaskTrackerºÍTaskµÈMapReduceÔËÐÐʱ»·¾³µÄ¼Ü¹¹Éè¼ÆÓëʵÏÖÔÀí£¬´Óʵ¼ÊÓ¦ÓõĽǶÈÉîÈë½²½âÁËHadoopµÄÐÔÄÜÓÅ»¯¡¢°²È«»úÖÆ¡¢¶àÓû§×÷Òµµ÷¶ÈÆ÷ºÍÏÂÒ»´úMapReduce¿ò¼ÜµÈÖ÷ÌâºÍÄÚÈÝ¡£±¾ÊéÊʺÏHadoopµÄ¶þ´Î¿ª·¢ÈËÔ±¡¢Ó¦Óÿª·¢¹¤³Ìʦ¡¢ÔËά¹¤³ÌʦÔĶÁ¡£
¥9.54¶¨¼Û£º¥39.23 (2.44ÕÛ)
¥4.00¶¨¼Û£º¥21.37 (1.88ÕÛ)
HadoopȨÍþÖ¸ÄÏ£¨µÚ4°æ ÐÞ¶©°æ Ó¢Îİ棩 [ÃÀ]»³ÌØ ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
×¼±¸ºÃÊÍ·ÅÊý¾ÝµÄÍþÁ¦ÁËÂðؼ?ͨ¹ýÕⱾʩ¹¤âîâõºÃ£¬Ä㽫»áѧϰµÄµ½ÈçºÎͨ¹ýApacheHadoop½¨Á¢ºÍά»¤¿É¿¿µÄ¡¢¿ÉÀ©Õ¹µÄ·Ö²¼Ê½ÏµÍ³¡£±¾ÊéÊÇÆÚÍû·ÖÎöÈÎÒâ´óСµÄÊý¾Ý¼¯µÄ³ÌÐòÔ±ÒÔ¼°Ï뽨Á¢ºÍÔËÐÐHadoop¼¯È¹µÄ¹ÜÀíÔ±µÄÀíÏëÑ¡Ôñ¡£ÔÚÕâ±¾ÃæÏòHadoop2µÄаæÊé¼®ÖУ¬×÷Õß»³ÌØÔö¼ÓÁ˹ØÓÚYARNºÍһЩHadoopÏà¹ØÏîÄ¿£¬ÈçParquet¡¢Flume¡¢CrunchºÍSparkµÄÐÂÕ½ڡ£Ä㽫»áÁ˽⵽Hadoop°æ±¾µÄб仯£¬²¢ÇÒÑо¿ÔÚÒ½Áƽ¡¿µÏµÍ³ºÍ»ùÒòÊý¾Ý´¦ÀíÖÐHadoopµÄÓ¦Óð¸Àý¡£
¥15.31¶¨¼Û£º¥99.00 (1.55ÕÛ)
Êý¾Ý¿ÆѧÓë´óÊý¾Ý¼¼Êõµ¼ÂÛ ÑÇÂíÑ·È«ÎåÐÇÆÀ¼Û HadoopÓëSparkȨÍþÖø×÷
¥44.20¶¨¼Û£º¥59.00 (7.5ÕÛ)
Èç¹ûÄã×¼±¸ÉîÈëÑо¿MapReduce¿ò¼ÜÀ´´¦Àí´óÊý¾Ý¼¯£¬±¾Êé·Ç³£ÊµÓã¬Í¨¹ýÌṩ·á¸»µÄËã·¨ºÍ¹¤¾ß£¬Ëü»áÑÐò½¥½øµØ´øÄã̽Ë÷MapReduceÊÀ½ç£¬ÓÃApache Hadoop»òApache Spark¹¹½¨·Ö²¼Ê½MapReduceÓ¦ÓÃʱͨ³£¶¼ÐèÒªÓõ½ÕâЩËã·¨ºÍ¹¤¾ß¡£Ã¿Ò»Õ·ֱðÌṩһ¸öʵÀýÀ´½â¾öÒ»¸ö´ó¹æÄ£¼ÆËãÎÊÌ⣬Èç¹¹½¨ÍƼöϵͳ¡£Äã»áÁ˽âÈçºÎÓôúÂëʵÏÖÊʵ±µÄMapReduce½â¾ö·½°¸£¬¶øÇÒ¿ÉÒÔÔÚÄãµÄÏîÄ¿ÖоßÌåÓ¦ÓÃÕâЩ½â¾ö·½°¸¡£Õâ
¥121.60¶¨¼Û£º¥128.00 (9.5ÕÛ)
´óÊý¾Ýƽ̨ÔËά Hadoop¼¯ÈºÔËÐÐ 1+XÖ°Òµ¼¼Äܵȼ¶Ö¤ÊéÅäÌ× HadoopÎļþ²ÎÊýÅäÖà Èý¼¼Êõ
¥42.80¶¨¼Û£º¥60.00 (7.14ÕÛ)
±¾Ê鸽ÓÐÅäÌ×ÊÓƵ¡¢½ÌѧPPT¡¢½ÌѧÉè¼Æ¡¢²âÊÔÌâµÈ×ÊÔ´£¬Í¬Ê±£¬ÎªÁË°ïÖú³õѧÕ߸üºÃµØѧϰ±¾ÊéÖеÄÄÚÈÝ£¬»¹ÌṩÁËÔÚÏß´ðÒÉ£¬»¶Ó¶ÁÕß¹Ø×¢¡£
¥44.40¶¨¼Û£º¥59.80 (7.43ÕÛ)
Hadoop¼¯ÈºÓ밲ȫ [ÃÀ]Ôú²®Èð¸£Ë¹»ù£¨ ¡¾µêÖ÷ÍƼö£¬Õý°æÊé·ÅÐĹºÂò£¬¿É¿ª·¢Æ±¡¿
Hadoop×Ô¶¯»¯°²×°ºÍÅäÖõÄÎÊÌâÔÚÓÚÒþ²ØÁËÐí¶àHadoop×é¼þÐͬ¹¤×÷µÄÖØҪϸ½Ú£¬¡¶´óÊý¾Ý¼¼Êõ´ÔÊé Hadoop¼¯È¹Ó밲ȫ¡·½éÉÜÈçºÎÊÖ¶¯°²×°ºÍÅäÖÃÖ÷ÒªµÄHadoop×é¼þ£¬ÒÔ±ã¸ßЧʹÓÃHadoopƽ̨¡£Í¨¹ýÉèÖÃÒ»¸öÍêÈ«¿ÉÔËÐеļ¯È¹£¬¿É¶ÔHadoopÄÚ²¿µÄÔËÐлúÖƲúÉú¸üÉîÈëµÄÁ˽⣬²¢ÇÒÓÐÖúÓÚÄãµ÷ÊÔÈκοÉÄÜ·¢ÉúµÄÎÊÌâ¡£¡¶´óÊý¾Ý¼¼Êõ´ÔÊé Hadoop¼¯È¹Ó밲ȫ¡·»¹½éÉÜÁ˱£ÕÏ»ùÓÚHadoopµÄ´óÊý¾Ýƽ̨°²È«µÄʵÏÖ·½°¸ºÍʵ¼ù£¬¸²¸ÇKerberos°²È«ÐÒéºÍHadoop°²È«»úÖƵÄÉè¼Æ£¬²¢°üÀ¨ÔÚÆóÒµÄÚ²¿À´È·±£Hadoop¼°ÆäÉú̬ϵͳÏà¹Ø×é¼þ°²È«µÄÏêϸ·½°¸¡£Í¨¹ýÔĶÁ¡¶Hadoop¼¯È¹Ó밲ȫ¡·£¬Ä㽫Á˽⠡¤ÈçºÎÊÖ¶¯ÅäÖÃÖ÷ÒªµÄHadoop×é¼þ£¬ÒÔ¼°HadoopÉú̬ϵͳ¡£¡¤ÈçºÎÔÚÔƶËʹÓÃHadoop£¬°üÀ¨ElasticMapReduceºÍWhirrµÄÓ¦Óᣡ¤ÈçºÎÅäÖÃKerberos²¢½¨Á¢°²È«µÄHadoop¼¯È¹¡£¡¤ÈçºÎ±£»¤HadoopÉú̬ϵͳÖеÄÃô¸ÐÊý¾Ý¡£
¥15.45¶¨¼Û£º¥57.03 (2.71ÕÛ)
1. È«Êé½ô¿ÛÈÎÎñÐèÇóÕ¹¿ª£¬²»¶Ñ»ý֪ʶµã2. ËæÊ鸽´øÔ´Â룬΢¿ÎÊÓƵ£¬·½±ã¶ÁÕßϵͳѧϰ²¢¶¯ÊÖʵ¼ù3. ʵս°¸Àý·á¸»4. ¡°1+X¡±´óÊý¾ÝÓ¦Óÿª·¢£¨Python£©Ö°Òµ¼¼Äܵȼ¶Ö¤Ê飨Öм¶£©ÅäÌ׽̲Ä
¥44.20¶¨¼Û£º¥59.80 (7.4ÕÛ)
Ã÷ÐǵêÆÌ ÎÄÐùÍøÆì½¢µê
»ùÓÚHadoopÓëSparkµÄ´óÊý¾Ý¿ª·¢ÊµÕ½
1¡¢Ñ¡È¡ÖªÊ¶ºËÐÄʵÓã¬ÒÔ»¥ÁªÍø ʵÏÖÖÕÉíѧϰ2¡¢ÒÔÆóÒµÐèÇóΪÉè¼Æµ¼Ïò£¬ÒÔÈÎÎñÇý¶¯Îª½²½â·½Ê½3¡¢ÒÔ°¸ÀýΪÖ÷Ïß×é֪֯ʶ£¬ÒÔʵսÏîÄ¿À´ÌáÉý¼¼Êõ4¡¢³ä·Ö¿¼ÂÇѧϰÕßµÄÈÏÖªÇúÏߣ¬ÓÉdzÉ±ß½²±ßÁ·
¥40.99
¥44.90¶¨¼Û£º¥59.00 (7.62ÕÛ)