职称:Intermediate
单位:Guangxi Vocational and Technical College
主讲教师:ZhouJie
教师团队:共9位
第9期
Since its opening in 2017, the big data technology specialty has been closely aligned with the development of Guangxi's new generation of information technology industry, and is a new round of “double-high” construction specialty in Guangxi. The specialty has a good construction foundation, with a national central financial support training base, a national vocational education training base, an autonomous regional vocational education training base, an autonomous regional demonstrative industrial college, a national cloud computing industry and education fusion community vice president unit, and Huawei, Tencent and other head enterprises to educate the big data industry chain of urgently needed talents. The position orientation of the big data technology major includes big data system operation and maintenance engineers, big data application development engineers, big data analysis engineers and so on. Relying on the Guangxi Agricultural Big Data Engineering Service Center, the program implements the “production, learning, research, creation, competition and training” integrated digital artisan talent cultivation model. In order to support the development of Guangxi's agricultural big data and digital government industry, the program cultivates high-quality technical and skilled talents with good vocational qualities and innovative and entrepreneurial spirit.
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| 1.1 Hadoop Standalone Installation |
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| 1.2 Hadoop Multi-Node Cluster |
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| 1.3 Build an Application |
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| 1.4 Hadoop Practice |
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| 1.5 Word Count |
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| 1.6 Hadoop Debug Environment |
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| 1.7 Application Debug |
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| 2.1 HDFS Operations |
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| 2.2 HDFS Command Reference |
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| 2.3 HDFS API |
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| 2.4 HDFS Upload and Download |
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| 2.5 HDFS Breakpoint Continuous transmission |
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| 3.1 Hive Installation |
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| 3.2 Hive Data Type |
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| 3.3 Create database, create table and upload data |
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| 3.4 Hive Partitioning |
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| 3.5 HQL Syntax |
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| 3.6 HQL Function |
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| 3.7 java to hive |
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| 4.1 Case1: box office rankings |
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| 4.2 Case2: Commodity order statistics |
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| 4.3 Case3: Olympic award record |
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| 4.4 Case4: Analyze website logs |
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| 4.5 Case5: Analyze global wine brands |
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