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Projects in Hadoop and Big Data - Learn by Building Appps

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-6-23 18:22 2024-12-27 02:25 139 2.65 GB 42
磁力链接
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迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjI1MmEwNDVkMDQyN2UyMTMzMDk3NjlhMjRmMjU0MDkxYjExZGUyYzVaWg==
二维码链接
Projects in Hadoop and Big Data - Learn by Building Appps的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
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相关链接

Projects in Hadoop and Big Data - Learn by Building Appps

文件列表
  1. 01 Introduction/001 Introduction.mp411.2MB
  2. 02 Add Value to Existing Data with Mapreduce/001 Introduction to the Project.mp460.78MB
  3. 02 Add Value to Existing Data with Mapreduce/002 Build and Run the Basic Code.mp469.54MB
  4. 02 Add Value to Existing Data with Mapreduce/003 Understanding the Code.mp478.27MB
  5. 02 Add Value to Existing Data with Mapreduce/004 Dependencies and packages.mp475.24MB
  6. 03 Hadoop Analytics and NoSQL/001 Introduction to Hadoop Analytics.mp473.75MB
  7. 03 Hadoop Analytics and NoSQL/002 Introduction to NoSQL Database.mp462.11MB
  8. 03 Hadoop Analytics and NoSQL/003 Solution Architecture.mp462.57MB
  9. 03 Hadoop Analytics and NoSQL/004 Installing the Solution.mp439.14MB
  10. 04 Kafka Streaming with Yarn and Zookeeper/001 Introduction to Kafka Yarn and Zookeeper.mp461.6MB
  11. 04 Kafka Streaming with Yarn and Zookeeper/002 Code Structure.mp476.03MB
  12. 04 Kafka Streaming with Yarn and Zookeeper/003 Creating Kafka Streams.mp471.14MB
  13. 04 Kafka Streaming with Yarn and Zookeeper/004 Yarn Job with Samza.mp489MB
  14. 05 Real Time Stream processing with Apache Kafka and Apache Storm/001 Real Time Streaming.mp482.07MB
  15. 05 Real Time Stream processing with Apache Kafka and Apache Storm/002 Hortonbox Virtual Machine.mp484.23MB
  16. 05 Real Time Stream processing with Apache Kafka and Apache Storm/003 Running in Cluster Mode.mp470.25MB
  17. 05 Real Time Stream processing with Apache Kafka and Apache Storm/004 Submitting the Storm Jar.mp458.76MB
  18. 06 Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S/001 Introduction to the Project.mp4100.12MB
  19. 06 Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S/002 Introduction to HDDAccess.mp463.27MB
  20. 06 Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S/003 Sqoop, Hive and Solr.mp457.58MB
  21. 06 Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S/004 Hive Usage.mp475.02MB
  22. 07 Log collection and analytics with the Hadoop Distributed File System using Apach/001 Apache Flume and HCatalog.mp477.89MB
  23. 07 Log collection and analytics with the Hadoop Distributed File System using Apach/002 Install and Configure Apache Flume.mp469.24MB
  24. 07 Log collection and analytics with the Hadoop Distributed File System using Apach/003 Visualisation of the Data.mp461.39MB
  25. 07 Log collection and analytics with the Hadoop Distributed File System using Apach/004 Embedded Pig Scripts.mp456.37MB
  26. 08 Data Science with Hadoop Predictive Analytics/001 Introduction to Data Science.mp468.02MB
  27. 08 Data Science with Hadoop Predictive Analytics/002 Source Code Review.mp458.83MB
  28. 08 Data Science with Hadoop Predictive Analytics/003 Setting Up the Machine.mp468.44MB
  29. 08 Data Science with Hadoop Predictive Analytics/004 Project Review.mp465.14MB
  30. 09 Visual Analytics with Apache Spark on Yarn/001 Project Setup.mp468.24MB
  31. 09 Visual Analytics with Apache Spark on Yarn/002 Setting Up Java Dependencies.mp463.31MB
  32. 09 Visual Analytics with Apache Spark on Yarn/003 Spark Analytics with PySpark.mp468.17MB
  33. 09 Visual Analytics with Apache Spark on Yarn/004 Bringing it all together.mp469.76MB
  34. 10 Customer 360 degree view, Big Data Analytics for e-commerce/001 Ecommerce and Big Data.mp466.55MB
  35. 10 Customer 360 degree view, Big Data Analytics for e-commerce/002 Installing Datameer.mp449.67MB
  36. 10 Customer 360 degree view, Big Data Analytics for e-commerce/003 Analytics and Visualizations.mp455.76MB
  37. 10 Customer 360 degree view, Big Data Analytics for e-commerce/004 Demonstration.mp453.67MB
  38. 11 Putting it all together Big Data with Amazon Elastic Map Reduce/001 Introduction to the Project.mp462.3MB
  39. 11 Putting it all together Big Data with Amazon Elastic Map Reduce/002 Configuration.mp454.49MB
  40. 11 Putting it all together Big Data with Amazon Elastic Map Reduce/003 Setting Up Cluster on EMR.mp468.61MB
  41. 11 Putting it all together Big Data with Amazon Elastic Map Reduce/004 Dedicated Task Cluster on EMR.mp473.94MB
  42. 12 Summary/001 Summary.mp48.74MB
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概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
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