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种子名称： [FreeCourseSite.com] Udemy - GCP Complete Google Data Engineer and Cloud Architect Guide
文件类型： 视频
文件数目： 201个文件
文件大小： 2.79 GB
收录时间： 2020-8-13 13:24
已经下载： 3次
资源热度： 174
最近下载： 2024-6-27 05:02

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

1. You, This Course and Us/1. You, This Course and Us.mp48.59MB

10. Dataflow ~ Apache Beam/10. Lab Dataflow With Big Query As Source And Side Inputs.mp429.48MB

10. Dataflow ~ Apache Beam/11. Lab Dataflow With Big Query As Source And Side Inputs 2.mp411.97MB

10. Dataflow ~ Apache Beam/2. Data Flow Intro.mp416.85MB

10. Dataflow ~ Apache Beam/3. Apache Beam.mp45.07MB

10. Dataflow ~ Apache Beam/4. Lab Running A Python Data flow Program.mp421.71MB

10. Dataflow ~ Apache Beam/5. Lab Running A Java Data flow Program.mp424.27MB

10. Dataflow ~ Apache Beam/6. Lab Implementing Word Count In Dataflow Java.mp421.79MB

10. Dataflow ~ Apache Beam/7. Lab Executing The Word Count Dataflow.mp49.76MB

10. Dataflow ~ Apache Beam/8. Lab Executing MapReduce In Dataflow In Python.mp417.97MB

10. Dataflow ~ Apache Beam/9. Lab Executing MapReduce In Dataflow In Java.mp411.31MB

11. Dataproc ~ Managed Hadoop/2. Data Proc.mp412.02MB

11. Dataproc ~ Managed Hadoop/3. Lab Creating And Managing A Dataproc Cluster.mp414.29MB

11. Dataproc ~ Managed Hadoop/4. Lab Creating A Firewall Rule To Access Dataproc.mp414.94MB

11. Dataproc ~ Managed Hadoop/5. Lab Running A PySpark Job On Dataproc.mp412.65MB

11. Dataproc ~ Managed Hadoop/6. Lab Running The PySpark REPL Shell And Pig Scripts On Dataproc.mp415.02MB

11. Dataproc ~ Managed Hadoop/7. Lab Submitting A Spark Jar To Dataproc.mp44.41MB

11. Dataproc ~ Managed Hadoop/8. Lab Working With Dataproc Using The GCloud CLI.mp414.47MB

12. PubSub for Streaming/10. Lab Pubsub Source BigQuery Sink.mp419.06MB

12. PubSub for Streaming/2. Pub Sub.mp412.49MB

12. PubSub for Streaming/3. Lab Working With Pubsub On The Command Line.mp410.42MB

12. PubSub for Streaming/4. Lab Working With PubSub Using The Web Console.mp47.49MB

12. PubSub for Streaming/5. Lab Setting Up A Pubsub Publisher Using The Python Library.mp411.02MB

12. PubSub for Streaming/6. Lab Setting Up A Pubsub Subscriber Using The Python Library.mp48.6MB

12. PubSub for Streaming/7. Lab Publishing Streaming Data Into Pubsub.mp414.47MB

12. PubSub for Streaming/8. Lab Reading Streaming Data From PubSub And Writing To BigQuery.mp420.87MB

12. PubSub for Streaming/9. Lab Executing A Pipeline To Read Streaming Data And Write To BigQuery.mp411.61MB

13. Datalab ~ Jupyter/2. Data Lab.mp43.75MB

13. Datalab ~ Jupyter/3. Lab Creating And Working On A Datalab Instance.mp426.15MB

13. Datalab ~ Jupyter/4. Lab Importing And Exporting Data Using Datalab.mp421.05MB

13. Datalab ~ Jupyter/5. Lab Using The Charting API In Datalab.mp412.43MB

14. TensorFlow and Machine Learning/10. Linear Regression Intro.mp412.74MB

14. TensorFlow and Machine Learning/11. Placeholders and Variables.mp411.45MB

14. TensorFlow and Machine Learning/12. Lab Placeholders.mp411.02MB

14. TensorFlow and Machine Learning/13. Lab Variables.mp413.32MB

14. TensorFlow and Machine Learning/14. Lab Linear Regression with Made-up Data.mp48.18MB

14. TensorFlow and Machine Learning/15. Image Processing.mp410.62MB

14. TensorFlow and Machine Learning/16. Images As Tensors.mp410.92MB

14. TensorFlow and Machine Learning/17. Lab Reading and Working with Images.mp415.06MB

14. TensorFlow and Machine Learning/18. Lab Image Transformations.mp411.47MB

14. TensorFlow and Machine Learning/19. Introducing MNIST.mp45.5MB

14. TensorFlow and Machine Learning/2. Introducing Machine Learning.mp49.97MB

14. TensorFlow and Machine Learning/20. K-Nearest Neigbors.mp49.27MB

14. TensorFlow and Machine Learning/21. One-hot Notation and L1 Distance.mp49.28MB

14. TensorFlow and Machine Learning/22. Steps in the K-Nearest-Neighbors Implementation.mp412.1MB

14. TensorFlow and Machine Learning/23. Lab K-Nearest-Neighbors.mp423.15MB

14. TensorFlow and Machine Learning/24. Learning Algorithm.mp414.28MB

14. TensorFlow and Machine Learning/25. Individual Neuron.mp412.71MB

14. TensorFlow and Machine Learning/26. Learning Regression.mp410MB

14. TensorFlow and Machine Learning/27. Learning XOR.mp413.4MB

14. TensorFlow and Machine Learning/28. XOR Trained.mp415.16MB

14. TensorFlow and Machine Learning/3. Representation Learning.mp413.24MB

14. TensorFlow and Machine Learning/4. NN Introduced.mp410.59MB

14. TensorFlow and Machine Learning/5. Introducing TF.mp49.21MB

14. TensorFlow and Machine Learning/6. Lab Simple Math Operations.mp413.62MB

14. TensorFlow and Machine Learning/7. Computation Graph.mp413.36MB

14. TensorFlow and Machine Learning/8. Tensors.mp411.35MB

14. TensorFlow and Machine Learning/9. Lab Tensors.mp48.37MB

15. Regression in TensorFlow/10. Lab Logistic Regression - Setting Up a Baseline.mp415.77MB

15. Regression in TensorFlow/11. Logit.mp410.57MB

15. Regression in TensorFlow/12. Softmax.mp415.3MB

15. Regression in TensorFlow/13. Argmax.mp415.14MB

15. Regression in TensorFlow/14. Lab Logistic Regression.mp425.87MB

15. Regression in TensorFlow/15. Estimators.mp45.3MB

15. Regression in TensorFlow/16. Lab Linear Regression using Estimators.mp415.66MB

15. Regression in TensorFlow/17. Lab Logistic Regression using Estimators.mp410.1MB

15. Regression in TensorFlow/2. Lab Access Data from Yahoo Finance.mp45.35MB

15. Regression in TensorFlow/3. Non TensorFlow Regression.mp410.19MB

15. Regression in TensorFlow/4. Lab Linear Regression - Setting Up a Baseline.mp418.52MB

15. Regression in TensorFlow/5. Gradient Descent.mp412.22MB

15. Regression in TensorFlow/6. Lab Linear Regression.mp424.02MB

15. Regression in TensorFlow/7. Lab Multiple Regression in TensorFlow.mp416.8MB

15. Regression in TensorFlow/8. Logistic Regression Introduced.mp412.63MB

15. Regression in TensorFlow/9. Linear Classification.mp46.93MB

16. Vision, Translate, NLP and Speech Trained ML APIs/2. Lab Taxicab Prediction - Setting up the dataset.mp425.67MB

16. Vision, Translate, NLP and Speech Trained ML APIs/3. Lab Taxicab Prediction - Training and Running the model.mp421.14MB

16. Vision, Translate, NLP and Speech Trained ML APIs/4. Lab The Vision, Translate, NLP and Speech API.mp421.51MB

16. Vision, Translate, NLP and Speech Trained ML APIs/5. Lab The Vision API for Label and Landmark Detection.mp414.14MB

17. Virtual Machines and Images/2. Live Migration.mp418MB

17. Virtual Machines and Images/3. Machine Types and Billing.mp417.14MB

17. Virtual Machines and Images/4. Sustained Use and Committed Use Discounts.mp412.85MB

17. Virtual Machines and Images/5. Rightsizing Recommendations.mp44.1MB

17. Virtual Machines and Images/6. RAM Disk.mp43.58MB

17. Virtual Machines and Images/7. Images.mp413.82MB

17. Virtual Machines and Images/8. Startup Scripts And Baked Images.mp412.85MB

18. VPCs and Interconnecting Networks/10. Lab Bastion Host.mp420.42MB

18. VPCs and Interconnecting Networks/11. Cloud VPN.mp412.67MB

18. VPCs and Interconnecting Networks/12. Lab Working with Cloud VPN.mp426.16MB

18. VPCs and Interconnecting Networks/13. Cloud Router.mp419.65MB

18. VPCs and Interconnecting Networks/14. Lab Using Cloud Routers for Dynamic Routing.mp433.2MB

18. VPCs and Interconnecting Networks/15. Dedicated Interconnect Direct and Carrier Peering.mp414.74MB

18. VPCs and Interconnecting Networks/16. Shared VPCs.mp418.53MB

18. VPCs and Interconnecting Networks/17. Lab Shared VPCs.mp410.72MB

18. VPCs and Interconnecting Networks/18. VPC Network Peering.mp418.12MB

18. VPCs and Interconnecting Networks/19. Lab VPC Peering.mp418.03MB

18. VPCs and Interconnecting Networks/2. VPCs And Subnets.mp419.38MB

18. VPCs and Interconnecting Networks/20. Cloud DNS And Legacy Networks.mp49.83MB

18. VPCs and Interconnecting Networks/3. Global VPCs, Regional Subnets.mp422.34MB

18. VPCs and Interconnecting Networks/4. IP Addresses.mp419.67MB

18. VPCs and Interconnecting Networks/5. Lab Working with Static IP Addresses.mp413.28MB

18. VPCs and Interconnecting Networks/6. Routes.mp413.41MB

18. VPCs and Interconnecting Networks/7. Firewall Rules.mp427.43MB

18. VPCs and Interconnecting Networks/8. Lab Working with Firewalls.mp418.46MB

18. VPCs and Interconnecting Networks/9. Lab Working with Auto Mode and Custom Mode Networks.mp449.75MB

19. Managed Instance Groups and Load Balancing/10. SSL Proxy and TCP Proxy Load Balancing.mp49.53MB

19. Managed Instance Groups and Load Balancing/11. Lab SSL Proxy Load Balancing.mp418.93MB

19. Managed Instance Groups and Load Balancing/12. Network Load Balancing.mp49.12MB

19. Managed Instance Groups and Load Balancing/13. Internal Load Balancing.mp413.47MB

19. Managed Instance Groups and Load Balancing/14. Autoscalers.mp421.15MB

19. Managed Instance Groups and Load Balancing/15. Lab Autoscaling with Managed Instance Groups.mp433.57MB

19. Managed Instance Groups and Load Balancing/2. Managed and Unmanaged Instance Groups.mp419.32MB

19. Managed Instance Groups and Load Balancing/3. Types of Load Balancing.mp49.89MB

19. Managed Instance Groups and Load Balancing/4. Overview of HTTP(S) Load Balancing.mp416.89MB

19. Managed Instance Groups and Load Balancing/5. Forwarding Rules Target Proxy and Url Maps.mp415.37MB

19. Managed Instance Groups and Load Balancing/6. Backend Service and Backends.mp417.19MB

19. Managed Instance Groups and Load Balancing/7. Load Distribution and Firewall Rules.mp47.8MB

19. Managed Instance Groups and Load Balancing/8. Lab HTTP(S) Load Balancing.mp428.89MB

19. Managed Instance Groups and Load Balancing/9. Lab Content Based Load Balancing.mp412.04MB

2. Introduction/1. Theory, Practice and Tests.mp413.09MB

2. Introduction/2. Lab Setting Up A GCP Account.mp413.39MB

2. Introduction/3. Lab Using The Cloud Shell.mp410.81MB

20. Ops and Security/10. Cloud IAM User accounts, Service accounts, API Credentials.mp418.63MB

20. Ops and Security/11. Cloud IAM Roles, Identity-Aware Proxy, Best Practices.mp418.58MB

20. Ops and Security/12. Lab Cloud IAM.mp427.66MB

20. Ops and Security/13. Data Protection.mp415.48MB

20. Ops and Security/2. StackDriver.mp416.01MB

20. Ops and Security/3. StackDriver Logging.mp49.66MB

20. Ops and Security/4. Lab Stackdriver Resource Monitoring.mp419.77MB

20. Ops and Security/5. Lab Stackdriver Error Reporting and Debugging.mp415.2MB

20. Ops and Security/6. Cloud Deployment Manager.mp48.14MB

20. Ops and Security/7. Lab Using Deployment Manager.mp414.41MB

20. Ops and Security/8. Lab Deployment Manager and Stackdriver.mp421.09MB

20. Ops and Security/9. Cloud Endpoints.mp45.28MB

21. Appendix Hadoop Ecosystem/1. Introducing the Hadoop Ecosystem.mp41.7MB

21. Appendix Hadoop Ecosystem/10. Windowing Hive.mp413.82MB

21. Appendix Hadoop Ecosystem/11. Pig.mp413.81MB

21. Appendix Hadoop Ecosystem/12. More Pig.mp411.97MB

21. Appendix Hadoop Ecosystem/13. Spark.mp413.46MB

21. Appendix Hadoop Ecosystem/14. More Spark.mp419.11MB

21. Appendix Hadoop Ecosystem/15. Streams Intro.mp412.79MB

21. Appendix Hadoop Ecosystem/16. Microbatches.mp47.61MB

21. Appendix Hadoop Ecosystem/17. Window Types.mp47.49MB

21. Appendix Hadoop Ecosystem/2. Hadoop.mp414.06MB

21. Appendix Hadoop Ecosystem/3. HDFS.mp419.86MB

21. Appendix Hadoop Ecosystem/4. MapReduce.mp417.83MB

21. Appendix Hadoop Ecosystem/5. Yarn.mp410.47MB

21. Appendix Hadoop Ecosystem/6. Hive.mp414.53MB

21. Appendix Hadoop Ecosystem/7. Hive vs. RDBMS.mp411.34MB

21. Appendix Hadoop Ecosystem/8. HQL vs. SQL.mp411.74MB

21. Appendix Hadoop Ecosystem/9. OLAP in Hive.mp410.68MB

3. Compute/10. More GKE.mp412.84MB

3. Compute/11. Lab Creating A Kubernetes Cluster And Deploying A Wordpress Container.mp411.51MB

3. Compute/12. App Engine.mp49.22MB

3. Compute/13. Contrasting App Engine, Compute Engine and Container Engine.mp48.19MB

3. Compute/14. Lab Deploy And Run An App Engine App.mp412.4MB

3. Compute/2. Compute Options.mp412.53MB

3. Compute/3. Google Compute Engine (GCE).mp410.11MB

3. Compute/4. Lab Creating a VM Instance.mp410.9MB

3. Compute/5. More GCE.mp410.67MB

3. Compute/6. Lab Editing a VM Instance.mp48.62MB

3. Compute/7. Lab Creating a VM Instance Using The Command Line.mp49.41MB

3. Compute/8. Lab Creating And Attaching A Persistent Disk.mp47.26MB

3. Compute/9. Google Container Engine - Kubernetes (GKE).mp413.81MB

4. Storage/10. Transfer Service.mp46.35MB

4. Storage/11. Lab Migrating Data Using The Transfer Service.mp49.99MB

4. Storage/13. Lab Cloud Storage ACLs and API access with Service Account.mp419.61MB

4. Storage/14. Lab Cloud Storage Customer-Supplied Encryption Keys and Life-Cycle Management.mp424.6MB

4. Storage/15. Lab Cloud Storage Versioning, Directory Sync.mp423.82MB

4. Storage/2. Storage Options.mp412.61MB

4. Storage/3. Quick Take.mp417.47MB

4. Storage/4. Cloud Storage.mp414.21MB

4. Storage/5. Lab Working With Cloud Storage Buckets.mp410.55MB

4. Storage/6. Lab Bucket And Object Permissions.mp47.04MB

4. Storage/7. Lab Life cycle Management On Buckets.mp48.59MB

4. Storage/9. Lab Running A Program On a VM Instance And Storing Results on Cloud Storage.mp418.12MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/2. Cloud SQL.mp410.09MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/3. Lab Creating A Cloud SQL Instance.mp414.2MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/4. Lab Running Commands On Cloud SQL Instance.mp411.38MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/5. Lab Bulk Loading Data Into Cloud SQL Tables.mp414.56MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/6. Cloud Spanner.mp49.52MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/7. More Cloud Spanner.mp412.86MB

5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/8. Lab Working With Cloud Spanner.mp410.65MB

7. BigTable ~ HBase = Columnar Store/2. BigTable Intro.mp410.34MB

7. BigTable ~ HBase = Columnar Store/3. Columnar Store.mp411.1MB

7. BigTable ~ HBase = Columnar Store/4. Denormalised.mp412.28MB

7. BigTable ~ HBase = Columnar Store/5. Column Families.mp410.46MB

7. BigTable ~ HBase = Columnar Store/6. BigTable Performance.mp416.16MB

7. BigTable ~ HBase = Columnar Store/8. Lab BigTable demo.mp412.58MB

8. Datastore ~ Document Database/2. Datastore.mp417.51MB

8. Datastore ~ Document Database/3. Lab Datastore demo.mp410.96MB

9. BigQuery ~ Hive ~ OLAP/10. Lab Subqueries And Joins.mp49.88MB

9. BigQuery ~ Hive ~ OLAP/11. Lab Regular Expressions In Legacy SQL.mp49.65MB

9. BigQuery ~ Hive ~ OLAP/12. Lab Using The With Statement For SubQueries.mp418.45MB

9. BigQuery ~ Hive ~ OLAP/2. BigQuery Intro.mp418.34MB

9. BigQuery ~ Hive ~ OLAP/3. BigQuery Advanced.mp416.37MB

9. BigQuery ~ Hive ~ OLAP/4. Lab Loading CSV Data Into Big Query.mp413.92MB

9. BigQuery ~ Hive ~ OLAP/5. Lab Running Queries On Big Query.mp49.4MB

9. BigQuery ~ Hive ~ OLAP/6. Lab Loading JSON Data With Nested Tables.mp412.24MB

9. BigQuery ~ Hive ~ OLAP/7. Lab Public Datasets In Big Query.mp414.82MB

9. BigQuery ~ Hive ~ OLAP/8. Lab Using Big Query Via The Command Line.mp412.47MB

9. BigQuery ~ Hive ~ OLAP/9. Lab Aggregations And Conditionals In Aggregations.mp416.64MB