Data Science on Google Cloud Platform - Building Data Pipelines番号下载_Data Science on Google Cloud Platform - Building Data Pipelines番号下载_Data Science on Google Cloud Platform - Building Data Pipelines下载

Data Science on Google Cloud Platform - Building Data Pipelines

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种子名称： Data Science on Google Cloud Platform - Building Data Pipelines
文件类型：视频
文件数目： 35个文件
文件大小： 152.75 MB
收录时间： 2019-8-17 13:34
已经下载： 3次
资源热度： 142
最近下载： 2024-12-23 04:40

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Data Science on Google Cloud Platform - Building Data Pipelines

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Data Science on Google Cloud Platform - Building Data Pipelines.torrent

4.3. Setting Up Dataflow/14.Setting up Python.mp412.32MB

1.Introduction/01.What goes into a data pipeline.mp46.55MB

1.Introduction/02.Data science modules covered.mp43.37MB

2.1. GCP Data Pipeline Products/03.GCP data pipeline options.mp42.91MB

2.1. GCP Data Pipeline Products/04.Cloud Dataproc.mp42.06MB

2.1. GCP Data Pipeline Products/05.Cloud Dataflow.mp42.23MB

2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.mp42.07MB

3.2. Apache Beam/07.What is Apache Beam.mp42.76MB

3.2. Apache Beam/08.Beam pipelines.mp41.16MB

3.2. Apache Beam/09.PCollections.mp42.08MB

3.2. Apache Beam/10.Transforms.mp42.32MB

3.2. Apache Beam/11.Pipeline I_O.mp42.2MB

3.2. Apache Beam/12.Runners.mp42.26MB

4.3. Setting Up Dataflow/13.Setting up GCP for Dataflow.mp46.17MB

4.3. Setting Up Dataflow/15.Creating a simple pipeline.mp49.68MB

4.3. Setting Up Dataflow/16.Executing in Dataflow.mp410.53MB

5.4. Data Processing with Beam and Dataflow/17.Reading text files.mp47.58MB

5.4. Data Processing with Beam and Dataflow/18.ParDo.mp46.14MB

5.4. Data Processing with Beam and Dataflow/19.GroupBy.mp45.22MB

5.4. Data Processing with Beam and Dataflow/20.Map.mp44.47MB

5.4. Data Processing with Beam and Dataflow/21.Combine.mp44.33MB

5.4. Data Processing with Beam and Dataflow/22.Writing data to text files.mp43.42MB

5.4. Data Processing with Beam and Dataflow/23.Other capabilities.mp43.15MB

6.5. Cloud Pub_Sub/24.What is Pub_Sub.mp43.17MB

6.5. Cloud Pub_Sub/25.Topics and messages.mp43.47MB

6.5. Cloud Pub_Sub/26.Publishers.mp42.77MB

6.5. Cloud Pub_Sub/27.Subscribers.mp42.8MB

6.5. Cloud Pub_Sub/28.Create a topic.mp42.86MB

6.5. Cloud Pub_Sub/29.Create a subscription.mp43.43MB

6.5. Cloud Pub_Sub/30.Publish and receive.mp43.68MB

6.5. Cloud Pub_Sub/31.Python SDK.mp49.35MB

7.6. Streaming with Dataflow/32.Streaming with Dataflow.mp42.66MB

7.6. Streaming with Dataflow/33.Windowing with Dataflow.mp42.98MB

7.6. Streaming with Dataflow/34.Streaming and windowing example.mp48.09MB

8.Conclusion/35.Next steps.mp42.51MB