首页 磁力链接怎么用

Applying Lambda Achitecture with Spark, Kafka and Cassandra

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 2017-3-14 20:30 2024-11-4 07:33 174 1.06 GB 72
磁力链接
magnet:?xt=urn:btih:5e011c840863221c461e53f35b82d480251a6465
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjVlMDExYzg0MDg2MzIyMWM0NjFlNTNmMzViODJkNDgwMjUxYTY0NjVaWg==
二维码链接
Applying Lambda Achitecture with Spark, Kafka and Cassandra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)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

Applying Lambda Achitecture with Spark Kafka and Cassandra

文件列表
  1. 07. Persisting with Cassandra/07_01-Introduction.mp4988.83KB
  2. 07. Persisting with Cassandra/07_03-Relational Database vs. Cassaandra.mp41.11MB
  3. 07. Persisting with Cassandra/07_04-Spark Cassandra Connector.mp42.02MB
  4. 05. Advanced Streaming Operations/05_12-Summary.mp42.04MB
  5. 04. Speed Layer with Spark Streaming/04_05-SparkSQL in Streaming Applications.mp42.13MB
  6. 02. A Modern Big Data Architecture/02_10-Summary.mp42.53MB
  7. 04. Speed Layer with Spark Streaming/04_01-Intro.mp42.55MB
  8. 05. Advanced Streaming Operations/05_01-Intro.mp42.6MB
  9. 04. Speed Layer with Spark Streaming/04_12-Summary.mp42.62MB
  10. 06. Streaming Ingest with Kafka and Spark Streaming/06_15-Summary.mp43.22MB
  11. 07. Persisting with Cassandra/07_10-Modeling Time Series Data with Cassandra.mp43.32MB
  12. 03. Batch Layer with Apache Spark/03_09-Summary.mp43.43MB
  13. 06. Streaming Ingest with Kafka and Spark Streaming/06_05-Messaging Models.mp43.55MB
  14. 04. Speed Layer with Spark Streaming/04_03-DStream vs. RDD.mp43.81MB
  15. 05. Advanced Streaming Operations/05_02-Checkpointing in Spark.mp43.89MB
  16. 05. Advanced Streaming Operations/05_04-Visualizing Stateful Transformations.mp43.9MB
  17. 07. Persisting with Cassandra/07_05-Reading Using DataFrames and Spark SQL.mp43.99MB
  18. 04. Speed Layer with Spark Streaming/04_04-Using transform and foreachRDD.mp44MB
  19. 01. Course Overview/01_01-Course Overview.mp44.05MB
  20. 07. Persisting with Cassandra/07_13-Summary.mp44.14MB
  21. 07. Persisting with Cassandra/07_02-Cassandras Design.mp44.75MB
  22. 06. Streaming Ingest with Kafka and Spark Streaming/06_11-Direct Stream to HDFS.mp44.78MB
  23. 07. Persisting with Cassandra/07_09-Composite Keys in Cassandra.mp45MB
  24. 07. Persisting with Cassandra/07_12-Spark Batch Cassandra Views_ Demo.mp45.35MB
  25. 06. Streaming Ingest with Kafka and Spark Streaming/06_03-Kafka Producer.mp45.42MB
  26. 02. A Modern Big Data Architecture/02_02-What Are We Building.mp45.45MB
  27. 07. Persisting with Cassandra/07_08-Data Modeling with Cassandra_ Part Two.mp45.49MB
  28. 07. Persisting with Cassandra/07_07-Data Modeling with Cassandra_ Part One.mp47.17MB
  29. 04. Speed Layer with Spark Streaming/04_06-Streaming Receiver Model.mp47.48MB
  30. 06. Streaming Ingest with Kafka and Spark Streaming/06_09-Spark Kafka Direct Streaming API.mp47.74MB
  31. 02. A Modern Big Data Architecture/02_08-Fast Track to Scala_ Collections.mp48.18MB
  32. 05. Advanced Streaming Operations/05_09-Stateful Cardinality Estimation_ Unique Counts Using HyperLogLog.mp48.87MB
  33. 02. A Modern Big Data Architecture/02_01-Defining the Lambda Architecture.mp49.07MB
  34. 06. Streaming Ingest with Kafka and Spark Streaming/06_02-Kafka Broker.mp49.52MB
  35. 04. Speed Layer with Spark Streaming/04_02-Spark Streaming Fundamentals.mp49.57MB
  36. 06. Streaming Ingest with Kafka and Spark Streaming/06_01-Introduction to Kafka.mp49.83MB
  37. 06. Streaming Ingest with Kafka and Spark Streaming/06_04-Partition Assignment and Consumers.mp410.87MB
  38. 05. Advanced Streaming Operations/05_03-Window Operations.mp410.95MB
  39. 02. A Modern Big Data Architecture/02_06-Fast Track to Scala_ Basics.mp411.18MB
  40. 03. Batch Layer with Apache Spark/03_08-Querying Data with Spark DataSources API_ Demo.mp411.82MB
  41. 06. Streaming Ingest with Kafka and Spark Streaming/06_08-Spark Kafka Receiver API.mp412.03MB
  42. 03. Batch Layer with Apache Spark/03_01-Introduction to Spark.mp412.06MB
  43. 06. Streaming Ingest with Kafka and Spark Streaming/06_14-Batch Processing from HDFS with Data Sources API_ Demo.mp412.44MB
  44. 05. Advanced Streaming Operations/05_07-Stateful Transformations_ mapWithState.mp412.72MB
  45. 03. Batch Layer with Apache Spark/03_02-Spark Components and Scheduling.mp413.26MB
  46. 06. Streaming Ingest with Kafka and Spark Streaming/06_10-Direct Streaming API_ Demo.mp413.51MB
  47. 05. Advanced Streaming Operations/05_05-Stateful Transformations_ updateStateByKey.mp414.81MB
  48. 02. A Modern Big Data Architecture/02_09-Spark with Zeppelin_ Demo.mp415.04MB
  49. 07. Persisting with Cassandra/07_06-Creating Keyspace and Cassandra Tables_ Demo.mp415.93MB
  50. 02. A Modern Big Data Architecture/02_03-Setting up Your Environment_ Demo.mp417.58MB
  51. 03. Batch Layer with Apache Spark/03_04-First Spark Job_ Demo.mp418.51MB
  52. 02. A Modern Big Data Architecture/02_05-Installing the Course VM_ Demo.mp419.54MB
  53. 02. A Modern Big Data Architecture/02_04-Tools Well Need_ Demo.mp420.89MB
  54. 07. Persisting with Cassandra/07_11-Spark Streaming Realtime Cassandra Views_ Demo.mp424.34MB
  55. 06. Streaming Ingest with Kafka and Spark Streaming/06_13-Streaming Resiliency_ Demo.mp424.45MB
  56. 06. Streaming Ingest with Kafka and Spark Streaming/06_07-Spark Streaming Kafka Receiver_ Demo.mp425.69MB
  57. 05. Advanced Streaming Operations/05_11-Evaluating Approximation Performance with Zeppelin_ Demo.mp427.21MB
  58. 04. Speed Layer with Spark Streaming/04_08-Streaming Log Producer_ Running with Zeppelin_ Demo.mp427.91MB
  59. 02. A Modern Big Data Architecture/02_07-Fast Track to Scala_ Language Features.mp429.81MB
  60. 04. Speed Layer with Spark Streaming/04_11-Streaming Aggregations with Zeppelin_ Demo.mp430.58MB
  61. 05. Advanced Streaming Operations/05_08-Better State Management Using mapWithState_ Demo.mp432.53MB
  62. 04. Speed Layer with Spark Streaming/04_09-Refactoring Streaming Application_ Demo.mp433.01MB
  63. 04. Speed Layer with Spark Streaming/04_07-Creating Spark Streaming Application_ Demo.mp434.33MB
  64. 03. Batch Layer with Apache Spark/03_07-Saving to HDFS and Executing on YARN_ Demo.mp434.47MB
  65. 04. Speed Layer with Spark Streaming/04_10-Spark Streaming with SparkSQL Aggregations_ Demo.mp437.19MB
  66. 06. Streaming Ingest with Kafka and Spark Streaming/06_06-Kafka Producer_ Demo.mp437.96MB
  67. 03. Batch Layer with Apache Spark/03_06-Aggregations with DataFrame API_ Demo.mp438.84MB
  68. 03. Batch Layer with Apache Spark/03_03-Getting Started_ Log Producer Demo.mp438.94MB
  69. 03. Batch Layer with Apache Spark/03_05-Aggregations with RDD API_ Demo.mp440.49MB
  70. 05. Advanced Streaming Operations/05_06-State Management Using updateStateByKey_ Demo.mp443.73MB
  71. 05. Advanced Streaming Operations/05_10-Approximating Unique Visitors Using HLL_ Demo.mp447.88MB
  72. 06. Streaming Ingest with Kafka and Spark Streaming/06_12-Direct Stream to HDFS_ Demo.mp462.45MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

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
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA