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[FreeCourseSite.com] Udemy - GCP Complete Google Data Engineer and Cloud Architect Guide

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迅雷链接
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FreeCourseSite com Udemy - GCP Complete Google Data Engineer and Cloud Architect Guide

文件列表
  1. 1. You, This Course and Us/1. You, This Course and Us.mp48.59MB
  2. 10. Dataflow ~ Apache Beam/10. Lab Dataflow With Big Query As Source And Side Inputs.mp429.48MB
  3. 10. Dataflow ~ Apache Beam/11. Lab Dataflow With Big Query As Source And Side Inputs 2.mp411.97MB
  4. 10. Dataflow ~ Apache Beam/2. Data Flow Intro.mp416.85MB
  5. 10. Dataflow ~ Apache Beam/3. Apache Beam.mp45.07MB
  6. 10. Dataflow ~ Apache Beam/4. Lab Running A Python Data flow Program.mp421.71MB
  7. 10. Dataflow ~ Apache Beam/5. Lab Running A Java Data flow Program.mp424.27MB
  8. 10. Dataflow ~ Apache Beam/6. Lab Implementing Word Count In Dataflow Java.mp421.79MB
  9. 10. Dataflow ~ Apache Beam/7. Lab Executing The Word Count Dataflow.mp49.76MB
  10. 10. Dataflow ~ Apache Beam/8. Lab Executing MapReduce In Dataflow In Python.mp417.97MB
  11. 10. Dataflow ~ Apache Beam/9. Lab Executing MapReduce In Dataflow In Java.mp411.31MB
  12. 11. Dataproc ~ Managed Hadoop/2. Data Proc.mp412.02MB
  13. 11. Dataproc ~ Managed Hadoop/3. Lab Creating And Managing A Dataproc Cluster.mp414.29MB
  14. 11. Dataproc ~ Managed Hadoop/4. Lab Creating A Firewall Rule To Access Dataproc.mp414.94MB
  15. 11. Dataproc ~ Managed Hadoop/5. Lab Running A PySpark Job On Dataproc.mp412.65MB
  16. 11. Dataproc ~ Managed Hadoop/6. Lab Running The PySpark REPL Shell And Pig Scripts On Dataproc.mp415.02MB
  17. 11. Dataproc ~ Managed Hadoop/7. Lab Submitting A Spark Jar To Dataproc.mp44.41MB
  18. 11. Dataproc ~ Managed Hadoop/8. Lab Working With Dataproc Using The GCloud CLI.mp414.47MB
  19. 12. PubSub for Streaming/10. Lab Pubsub Source BigQuery Sink.mp419.06MB
  20. 12. PubSub for Streaming/2. Pub Sub.mp412.49MB
  21. 12. PubSub for Streaming/3. Lab Working With Pubsub On The Command Line.mp410.42MB
  22. 12. PubSub for Streaming/4. Lab Working With PubSub Using The Web Console.mp47.49MB
  23. 12. PubSub for Streaming/5. Lab Setting Up A Pubsub Publisher Using The Python Library.mp411.02MB
  24. 12. PubSub for Streaming/6. Lab Setting Up A Pubsub Subscriber Using The Python Library.mp48.6MB
  25. 12. PubSub for Streaming/7. Lab Publishing Streaming Data Into Pubsub.mp414.47MB
  26. 12. PubSub for Streaming/8. Lab Reading Streaming Data From PubSub And Writing To BigQuery.mp420.87MB
  27. 12. PubSub for Streaming/9. Lab Executing A Pipeline To Read Streaming Data And Write To BigQuery.mp411.61MB
  28. 13. Datalab ~ Jupyter/2. Data Lab.mp43.75MB
  29. 13. Datalab ~ Jupyter/3. Lab Creating And Working On A Datalab Instance.mp426.15MB
  30. 13. Datalab ~ Jupyter/4. Lab Importing And Exporting Data Using Datalab.mp421.05MB
  31. 13. Datalab ~ Jupyter/5. Lab Using The Charting API In Datalab.mp412.43MB
  32. 14. TensorFlow and Machine Learning/10. Linear Regression Intro.mp412.74MB
  33. 14. TensorFlow and Machine Learning/11. Placeholders and Variables.mp411.45MB
  34. 14. TensorFlow and Machine Learning/12. Lab Placeholders.mp411.02MB
  35. 14. TensorFlow and Machine Learning/13. Lab Variables.mp413.32MB
  36. 14. TensorFlow and Machine Learning/14. Lab Linear Regression with Made-up Data.mp48.18MB
  37. 14. TensorFlow and Machine Learning/15. Image Processing.mp410.62MB
  38. 14. TensorFlow and Machine Learning/16. Images As Tensors.mp410.92MB
  39. 14. TensorFlow and Machine Learning/17. Lab Reading and Working with Images.mp415.06MB
  40. 14. TensorFlow and Machine Learning/18. Lab Image Transformations.mp411.47MB
  41. 14. TensorFlow and Machine Learning/19. Introducing MNIST.mp45.5MB
  42. 14. TensorFlow and Machine Learning/2. Introducing Machine Learning.mp49.97MB
  43. 14. TensorFlow and Machine Learning/20. K-Nearest Neigbors.mp49.27MB
  44. 14. TensorFlow and Machine Learning/21. One-hot Notation and L1 Distance.mp49.28MB
  45. 14. TensorFlow and Machine Learning/22. Steps in the K-Nearest-Neighbors Implementation.mp412.1MB
  46. 14. TensorFlow and Machine Learning/23. Lab K-Nearest-Neighbors.mp423.15MB
  47. 14. TensorFlow and Machine Learning/24. Learning Algorithm.mp414.28MB
  48. 14. TensorFlow and Machine Learning/25. Individual Neuron.mp412.71MB
  49. 14. TensorFlow and Machine Learning/26. Learning Regression.mp410MB
  50. 14. TensorFlow and Machine Learning/27. Learning XOR.mp413.4MB
  51. 14. TensorFlow and Machine Learning/28. XOR Trained.mp415.16MB
  52. 14. TensorFlow and Machine Learning/3. Representation Learning.mp413.24MB
  53. 14. TensorFlow and Machine Learning/4. NN Introduced.mp410.59MB
  54. 14. TensorFlow and Machine Learning/5. Introducing TF.mp49.21MB
  55. 14. TensorFlow and Machine Learning/6. Lab Simple Math Operations.mp413.62MB
  56. 14. TensorFlow and Machine Learning/7. Computation Graph.mp413.36MB
  57. 14. TensorFlow and Machine Learning/8. Tensors.mp411.35MB
  58. 14. TensorFlow and Machine Learning/9. Lab Tensors.mp48.37MB
  59. 15. Regression in TensorFlow/10. Lab Logistic Regression - Setting Up a Baseline.mp415.77MB
  60. 15. Regression in TensorFlow/11. Logit.mp410.57MB
  61. 15. Regression in TensorFlow/12. Softmax.mp415.3MB
  62. 15. Regression in TensorFlow/13. Argmax.mp415.14MB
  63. 15. Regression in TensorFlow/14. Lab Logistic Regression.mp425.87MB
  64. 15. Regression in TensorFlow/15. Estimators.mp45.3MB
  65. 15. Regression in TensorFlow/16. Lab Linear Regression using Estimators.mp415.66MB
  66. 15. Regression in TensorFlow/17. Lab Logistic Regression using Estimators.mp410.1MB
  67. 15. Regression in TensorFlow/2. Lab Access Data from Yahoo Finance.mp45.35MB
  68. 15. Regression in TensorFlow/3. Non TensorFlow Regression.mp410.19MB
  69. 15. Regression in TensorFlow/4. Lab Linear Regression - Setting Up a Baseline.mp418.52MB
  70. 15. Regression in TensorFlow/5. Gradient Descent.mp412.22MB
  71. 15. Regression in TensorFlow/6. Lab Linear Regression.mp424.02MB
  72. 15. Regression in TensorFlow/7. Lab Multiple Regression in TensorFlow.mp416.8MB
  73. 15. Regression in TensorFlow/8. Logistic Regression Introduced.mp412.63MB
  74. 15. Regression in TensorFlow/9. Linear Classification.mp46.93MB
  75. 16. Vision, Translate, NLP and Speech Trained ML APIs/2. Lab Taxicab Prediction - Setting up the dataset.mp425.67MB
  76. 16. Vision, Translate, NLP and Speech Trained ML APIs/3. Lab Taxicab Prediction - Training and Running the model.mp421.14MB
  77. 16. Vision, Translate, NLP and Speech Trained ML APIs/4. Lab The Vision, Translate, NLP and Speech API.mp421.51MB
  78. 16. Vision, Translate, NLP and Speech Trained ML APIs/5. Lab The Vision API for Label and Landmark Detection.mp414.14MB
  79. 17. Virtual Machines and Images/2. Live Migration.mp418MB
  80. 17. Virtual Machines and Images/3. Machine Types and Billing.mp417.14MB
  81. 17. Virtual Machines and Images/4. Sustained Use and Committed Use Discounts.mp412.85MB
  82. 17. Virtual Machines and Images/5. Rightsizing Recommendations.mp44.1MB
  83. 17. Virtual Machines and Images/6. RAM Disk.mp43.58MB
  84. 17. Virtual Machines and Images/7. Images.mp413.82MB
  85. 17. Virtual Machines and Images/8. Startup Scripts And Baked Images.mp412.85MB
  86. 18. VPCs and Interconnecting Networks/10. Lab Bastion Host.mp420.42MB
  87. 18. VPCs and Interconnecting Networks/11. Cloud VPN.mp412.67MB
  88. 18. VPCs and Interconnecting Networks/12. Lab Working with Cloud VPN.mp426.16MB
  89. 18. VPCs and Interconnecting Networks/13. Cloud Router.mp419.65MB
  90. 18. VPCs and Interconnecting Networks/14. Lab Using Cloud Routers for Dynamic Routing.mp433.2MB
  91. 18. VPCs and Interconnecting Networks/15. Dedicated Interconnect Direct and Carrier Peering.mp414.74MB
  92. 18. VPCs and Interconnecting Networks/16. Shared VPCs.mp418.53MB
  93. 18. VPCs and Interconnecting Networks/17. Lab Shared VPCs.mp410.72MB
  94. 18. VPCs and Interconnecting Networks/18. VPC Network Peering.mp418.12MB
  95. 18. VPCs and Interconnecting Networks/19. Lab VPC Peering.mp418.03MB
  96. 18. VPCs and Interconnecting Networks/2. VPCs And Subnets.mp419.38MB
  97. 18. VPCs and Interconnecting Networks/20. Cloud DNS And Legacy Networks.mp49.83MB
  98. 18. VPCs and Interconnecting Networks/3. Global VPCs, Regional Subnets.mp422.34MB
  99. 18. VPCs and Interconnecting Networks/4. IP Addresses.mp419.67MB
  100. 18. VPCs and Interconnecting Networks/5. Lab Working with Static IP Addresses.mp413.28MB
  101. 18. VPCs and Interconnecting Networks/6. Routes.mp413.41MB
  102. 18. VPCs and Interconnecting Networks/7. Firewall Rules.mp427.43MB
  103. 18. VPCs and Interconnecting Networks/8. Lab Working with Firewalls.mp418.46MB
  104. 18. VPCs and Interconnecting Networks/9. Lab Working with Auto Mode and Custom Mode Networks.mp449.75MB
  105. 19. Managed Instance Groups and Load Balancing/10. SSL Proxy and TCP Proxy Load Balancing.mp49.53MB
  106. 19. Managed Instance Groups and Load Balancing/11. Lab SSL Proxy Load Balancing.mp418.93MB
  107. 19. Managed Instance Groups and Load Balancing/12. Network Load Balancing.mp49.12MB
  108. 19. Managed Instance Groups and Load Balancing/13. Internal Load Balancing.mp413.47MB
  109. 19. Managed Instance Groups and Load Balancing/14. Autoscalers.mp421.15MB
  110. 19. Managed Instance Groups and Load Balancing/15. Lab Autoscaling with Managed Instance Groups.mp433.57MB
  111. 19. Managed Instance Groups and Load Balancing/2. Managed and Unmanaged Instance Groups.mp419.32MB
  112. 19. Managed Instance Groups and Load Balancing/3. Types of Load Balancing.mp49.89MB
  113. 19. Managed Instance Groups and Load Balancing/4. Overview of HTTP(S) Load Balancing.mp416.89MB
  114. 19. Managed Instance Groups and Load Balancing/5. Forwarding Rules Target Proxy and Url Maps.mp415.37MB
  115. 19. Managed Instance Groups and Load Balancing/6. Backend Service and Backends.mp417.19MB
  116. 19. Managed Instance Groups and Load Balancing/7. Load Distribution and Firewall Rules.mp47.8MB
  117. 19. Managed Instance Groups and Load Balancing/8. Lab HTTP(S) Load Balancing.mp428.89MB
  118. 19. Managed Instance Groups and Load Balancing/9. Lab Content Based Load Balancing.mp412.04MB
  119. 2. Introduction/1. Theory, Practice and Tests.mp413.09MB
  120. 2. Introduction/2. Lab Setting Up A GCP Account.mp413.39MB
  121. 2. Introduction/3. Lab Using The Cloud Shell.mp410.81MB
  122. 20. Ops and Security/10. Cloud IAM User accounts, Service accounts, API Credentials.mp418.63MB
  123. 20. Ops and Security/11. Cloud IAM Roles, Identity-Aware Proxy, Best Practices.mp418.58MB
  124. 20. Ops and Security/12. Lab Cloud IAM.mp427.66MB
  125. 20. Ops and Security/13. Data Protection.mp415.48MB
  126. 20. Ops and Security/2. StackDriver.mp416.01MB
  127. 20. Ops and Security/3. StackDriver Logging.mp49.66MB
  128. 20. Ops and Security/4. Lab Stackdriver Resource Monitoring.mp419.77MB
  129. 20. Ops and Security/5. Lab Stackdriver Error Reporting and Debugging.mp415.2MB
  130. 20. Ops and Security/6. Cloud Deployment Manager.mp48.14MB
  131. 20. Ops and Security/7. Lab Using Deployment Manager.mp414.41MB
  132. 20. Ops and Security/8. Lab Deployment Manager and Stackdriver.mp421.09MB
  133. 20. Ops and Security/9. Cloud Endpoints.mp45.28MB
  134. 21. Appendix Hadoop Ecosystem/1. Introducing the Hadoop Ecosystem.mp41.7MB
  135. 21. Appendix Hadoop Ecosystem/10. Windowing Hive.mp413.82MB
  136. 21. Appendix Hadoop Ecosystem/11. Pig.mp413.81MB
  137. 21. Appendix Hadoop Ecosystem/12. More Pig.mp411.97MB
  138. 21. Appendix Hadoop Ecosystem/13. Spark.mp413.46MB
  139. 21. Appendix Hadoop Ecosystem/14. More Spark.mp419.11MB
  140. 21. Appendix Hadoop Ecosystem/15. Streams Intro.mp412.79MB
  141. 21. Appendix Hadoop Ecosystem/16. Microbatches.mp47.61MB
  142. 21. Appendix Hadoop Ecosystem/17. Window Types.mp47.49MB
  143. 21. Appendix Hadoop Ecosystem/2. Hadoop.mp414.06MB
  144. 21. Appendix Hadoop Ecosystem/3. HDFS.mp419.86MB
  145. 21. Appendix Hadoop Ecosystem/4. MapReduce.mp417.83MB
  146. 21. Appendix Hadoop Ecosystem/5. Yarn.mp410.47MB
  147. 21. Appendix Hadoop Ecosystem/6. Hive.mp414.53MB
  148. 21. Appendix Hadoop Ecosystem/7. Hive vs. RDBMS.mp411.34MB
  149. 21. Appendix Hadoop Ecosystem/8. HQL vs. SQL.mp411.74MB
  150. 21. Appendix Hadoop Ecosystem/9. OLAP in Hive.mp410.68MB
  151. 3. Compute/10. More GKE.mp412.84MB
  152. 3. Compute/11. Lab Creating A Kubernetes Cluster And Deploying A Wordpress Container.mp411.51MB
  153. 3. Compute/12. App Engine.mp49.22MB
  154. 3. Compute/13. Contrasting App Engine, Compute Engine and Container Engine.mp48.19MB
  155. 3. Compute/14. Lab Deploy And Run An App Engine App.mp412.4MB
  156. 3. Compute/2. Compute Options.mp412.53MB
  157. 3. Compute/3. Google Compute Engine (GCE).mp410.11MB
  158. 3. Compute/4. Lab Creating a VM Instance.mp410.9MB
  159. 3. Compute/5. More GCE.mp410.67MB
  160. 3. Compute/6. Lab Editing a VM Instance.mp48.62MB
  161. 3. Compute/7. Lab Creating a VM Instance Using The Command Line.mp49.41MB
  162. 3. Compute/8. Lab Creating And Attaching A Persistent Disk.mp47.26MB
  163. 3. Compute/9. Google Container Engine - Kubernetes (GKE).mp413.81MB
  164. 4. Storage/10. Transfer Service.mp46.35MB
  165. 4. Storage/11. Lab Migrating Data Using The Transfer Service.mp49.99MB
  166. 4. Storage/13. Lab Cloud Storage ACLs and API access with Service Account.mp419.61MB
  167. 4. Storage/14. Lab Cloud Storage Customer-Supplied Encryption Keys and Life-Cycle Management.mp424.6MB
  168. 4. Storage/15. Lab Cloud Storage Versioning, Directory Sync.mp423.82MB
  169. 4. Storage/2. Storage Options.mp412.61MB
  170. 4. Storage/3. Quick Take.mp417.47MB
  171. 4. Storage/4. Cloud Storage.mp414.21MB
  172. 4. Storage/5. Lab Working With Cloud Storage Buckets.mp410.55MB
  173. 4. Storage/6. Lab Bucket And Object Permissions.mp47.04MB
  174. 4. Storage/7. Lab Life cycle Management On Buckets.mp48.59MB
  175. 4. Storage/9. Lab Running A Program On a VM Instance And Storing Results on Cloud Storage.mp418.12MB
  176. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/2. Cloud SQL.mp410.09MB
  177. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/3. Lab Creating A Cloud SQL Instance.mp414.2MB
  178. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/4. Lab Running Commands On Cloud SQL Instance.mp411.38MB
  179. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/5. Lab Bulk Loading Data Into Cloud SQL Tables.mp414.56MB
  180. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/6. Cloud Spanner.mp49.52MB
  181. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/7. More Cloud Spanner.mp412.86MB
  182. 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/8. Lab Working With Cloud Spanner.mp410.65MB
  183. 7. BigTable ~ HBase = Columnar Store/2. BigTable Intro.mp410.34MB
  184. 7. BigTable ~ HBase = Columnar Store/3. Columnar Store.mp411.1MB
  185. 7. BigTable ~ HBase = Columnar Store/4. Denormalised.mp412.28MB
  186. 7. BigTable ~ HBase = Columnar Store/5. Column Families.mp410.46MB
  187. 7. BigTable ~ HBase = Columnar Store/6. BigTable Performance.mp416.16MB
  188. 7. BigTable ~ HBase = Columnar Store/8. Lab BigTable demo.mp412.58MB
  189. 8. Datastore ~ Document Database/2. Datastore.mp417.51MB
  190. 8. Datastore ~ Document Database/3. Lab Datastore demo.mp410.96MB
  191. 9. BigQuery ~ Hive ~ OLAP/10. Lab Subqueries And Joins.mp49.88MB
  192. 9. BigQuery ~ Hive ~ OLAP/11. Lab Regular Expressions In Legacy SQL.mp49.65MB
  193. 9. BigQuery ~ Hive ~ OLAP/12. Lab Using The With Statement For SubQueries.mp418.45MB
  194. 9. BigQuery ~ Hive ~ OLAP/2. BigQuery Intro.mp418.34MB
  195. 9. BigQuery ~ Hive ~ OLAP/3. BigQuery Advanced.mp416.37MB
  196. 9. BigQuery ~ Hive ~ OLAP/4. Lab Loading CSV Data Into Big Query.mp413.92MB
  197. 9. BigQuery ~ Hive ~ OLAP/5. Lab Running Queries On Big Query.mp49.4MB
  198. 9. BigQuery ~ Hive ~ OLAP/6. Lab Loading JSON Data With Nested Tables.mp412.24MB
  199. 9. BigQuery ~ Hive ~ OLAP/7. Lab Public Datasets In Big Query.mp414.82MB
  200. 9. BigQuery ~ Hive ~ OLAP/8. Lab Using Big Query Via The Command Line.mp412.47MB
  201. 9. BigQuery ~ Hive ~ OLAP/9. Lab Aggregations And Conditionals In Aggregations.mp416.64MB
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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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