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- www.iiiedu.org.tw
  
  資策會「Big Data之處理與分析實務班」課程
  
  資策會「雲端運算之大量資料處理、分析與應用」課程資策會‧數位教育研究所‧科技化服務（ITeS）中心 ... 【RUN!PC】資料如何互通將是雲端商業模式新挑戰【Digitimes】三網匯流下的雲端服務趨勢【Digitimes】企業上雲端少成本、多彈性 ...
  
  2025-01-16
  
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- hadoop.apache.org
  
  Welcome to Apache™ Hadoop®!
  
  The Apache Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers ...
  
  2025-01-13
  
  瀏覽：1434

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Etu - 打造 End-to-End Big Data 解決方案的專家

日期：2025-01-14

Etu 以亞洲為舞臺，是專為企業提供 Big Data 全程解決方案的領導品牌。Etu 致力為行業客戶發展完整的軟體、硬體，以及整合後的資料處理、分析、與未來擴充時所需的整體解決方案。協助客戶探勘企業內部的巨量多結構資料價值，使其能簡易地擷取潛藏 ......

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Big Data University

日期：2025-01-17

Learn Big Data technologies like Hadoop, HDFS, Hive, HBase, MapReduce, JAQL, Pig, Flume, ZooKeeper, Mahout, Streams, and others. Big Data University offers free online courses taught by the leading experts in the field. Complete these free courses on ......

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Big data and Hadoop - Upload, Share, and Discover Content on SlideShare

日期：2025-01-17

Transcript 1. Big Data and Hadoop Rahul Agarwal irahul.com 2. AmrAwadallah: http://www.sfbayacm.org/wp/wp-content/uploads/2010/01/amr-hadoop-acm-dm-sig-jan2010.pdf 3. Hadoop: http ......

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Hadoop 與 SQL 的甜蜜連結 - Upload, Share, and Discover Content on SlideShare

日期：2025-01-17

精誠集團行雲流水系列第三場-流, 大會主題 2012 Taiwan Big Data, 我在其中一個 Track 跟大家分享 Hadoop 與 SQL 的整合運用精誠集團行雲流水系列第三場-流, 大會主題 2012 Taiwan Big Data, 我在其中一個 Track 跟大家分享 Hadoop 與 SQL 的整合運用...

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Big Data & Hadoop Solutions | Attunity

日期：2025-01-17

Enterprises that leverage Big Data can become smarter about their customers, operations, and business environment. As volumes of business data continue to increase, organizations are rapidly adopting Hadoop to store, manage, and process Big Data for use i...

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Hadoop & Big Data

日期：2025-01-14

Redefine the Economics of Data: Keep Everything, Forever, Online In addition, Hadoop’s cost advantages over legacy systems redefine the economics of data. Legacy systems, while fine for certain workloads, simply were not engineered with the needs of Big D...

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