Data Science on Google Cloud Platform - Building Data Pipelines

Creation Time	Aug. 29, 2023, 2:06 p.m.
Last Access Time	Dec. 24, 2024, 9:26 a.m.
File Size	152.9 MB
Keywords	Building on Google Pipelines Science - Platform Data Cloud
Total Requests	111
Total Files	71
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4.3. Setting Up Dataflow/14.Setting up Python.mp4 12.3 MB
4.3. Setting Up Dataflow/16.Executing in Dataflow.mp4 10.5 MB
4.3. Setting Up Dataflow/15.Creating a simple pipeline.mp4 9.7 MB
6.5. Cloud Pub_Sub/31.Python SDK.mp4 9.3 MB
7.6. Streaming with Dataflow/34.Streaming and windowing example.mp4 8.1 MB
5.4. Data Processing with Beam and Dataflow/17.Reading text files.mp4 7.6 MB
1.Introduction/01.What goes into a data pipeline.mp4 6.5 MB
4.3. Setting Up Dataflow/13.Setting up GCP for Dataflow.mp4 6.2 MB
5.4. Data Processing with Beam and Dataflow/18.ParDo.mp4 6.1 MB
5.4. Data Processing with Beam and Dataflow/19.GroupBy.mp4 5.2 MB
5.4. Data Processing with Beam and Dataflow/20.Map.mp4 4.5 MB
5.4. Data Processing with Beam and Dataflow/21.Combine.mp4 4.3 MB
6.5. Cloud Pub_Sub/30.Publish and receive.mp4 3.7 MB
6.5. Cloud Pub_Sub/25.Topics and messages.mp4 3.5 MB
6.5. Cloud Pub_Sub/29.Create a subscription.mp4 3.4 MB
5.4. Data Processing with Beam and Dataflow/22.Writing data to text files.mp4 3.4 MB
1.Introduction/02.Data science modules covered.mp4 3.4 MB
6.5. Cloud Pub_Sub/24.What is Pub_Sub.mp4 3.2 MB
5.4. Data Processing with Beam and Dataflow/23.Other capabilities.mp4 3.1 MB
7.6. Streaming with Dataflow/33.Windowing with Dataflow.mp4 3.0 MB
2.1. GCP Data Pipeline Products/03.GCP data pipeline options.mp4 2.9 MB
6.5. Cloud Pub_Sub/28.Create a topic.mp4 2.9 MB
6.5. Cloud Pub_Sub/27.Subscribers.mp4 2.8 MB
6.5. Cloud Pub_Sub/26.Publishers.mp4 2.8 MB
3.2. Apache Beam/07.What is Apache Beam.mp4 2.8 MB
7.6. Streaming with Dataflow/32.Streaming with Dataflow.mp4 2.7 MB
8.Conclusion/35.Next steps.mp4 2.5 MB
3.2. Apache Beam/10.Transforms.mp4 2.3 MB
3.2. Apache Beam/12.Runners.mp4 2.3 MB
2.1. GCP Data Pipeline Products/05.Cloud Dataflow.mp4 2.2 MB
3.2. Apache Beam/11.Pipeline I_O.mp4 2.2 MB
3.2. Apache Beam/09.PCollections.mp4 2.1 MB
2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.mp4 2.1 MB
2.1. GCP Data Pipeline Products/04.Cloud Dataproc.mp4 2.1 MB
3.2. Apache Beam/08.Beam pipelines.mp4 1.2 MB
Exercise Files/Ex_Files_Data_Science_Google_Cloud_Data.zip 7.2 KB
4.3. Setting Up Dataflow/14.Setting up Python.en.srt 6.7 KB
6.5. Cloud Pub_Sub/31.Python SDK.en.srt 6.6 KB
4.3. Setting Up Dataflow/15.Creating a simple pipeline.en.srt 6.3 KB
4.3. Setting Up Dataflow/16.Executing in Dataflow.en.srt 6.1 KB
7.6. Streaming with Dataflow/34.Streaming and windowing example.en.srt 5.0 KB
5.4. Data Processing with Beam and Dataflow/17.Reading text files.en.srt 5.0 KB
5.4. Data Processing with Beam and Dataflow/18.ParDo.en.srt 3.5 KB
1.Introduction/02.Data science modules covered.en.srt 3.2 KB
6.5. Cloud Pub_Sub/29.Create a subscription.en.srt 2.9 KB
6.5. Cloud Pub_Sub/30.Publish and receive.en.srt 2.8 KB
7.6. Streaming with Dataflow/33.Windowing with Dataflow.en.srt 2.8 KB
6.5. Cloud Pub_Sub/25.Topics and messages.en.srt 2.8 KB
5.4. Data Processing with Beam and Dataflow/21.Combine.en.srt 2.8 KB
4.3. Setting Up Dataflow/13.Setting up GCP for Dataflow.en.srt 2.8 KB
5.4. Data Processing with Beam and Dataflow/19.GroupBy.en.srt 2.7 KB
3.2. Apache Beam/07.What is Apache Beam.en.srt 2.7 KB
5.4. Data Processing with Beam and Dataflow/23.Other capabilities.en.srt 2.6 KB
6.5. Cloud Pub_Sub/24.What is Pub_Sub.en.srt 2.5 KB
6.5. Cloud Pub_Sub/27.Subscribers.en.srt 2.4 KB
7.6. Streaming with Dataflow/32.Streaming with Dataflow.en.srt 2.3 KB
6.5. Cloud Pub_Sub/26.Publishers.en.srt 2.3 KB
2.1. GCP Data Pipeline Products/03.GCP data pipeline options.en.srt 2.2 KB
3.2. Apache Beam/12.Runners.en.srt 2.1 KB
3.2. Apache Beam/10.Transforms.en.srt 2.0 KB
5.4. Data Processing with Beam and Dataflow/20.Map.en.srt 1.9 KB
6.5. Cloud Pub_Sub/28.Create a topic.en.srt 1.9 KB
3.2. Apache Beam/11.Pipeline I_O.en.srt 1.8 KB
3.2. Apache Beam/09.PCollections.en.srt 1.8 KB
2.1. GCP Data Pipeline Products/05.Cloud Dataflow.en.srt 1.8 KB
5.4. Data Processing with Beam and Dataflow/22.Writing data to text files.en.srt 1.6 KB
2.1. GCP Data Pipeline Products/04.Cloud Dataproc.en.srt 1.5 KB
1.Introduction/01.What goes into a data pipeline.en.srt 1.4 KB
2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.en.srt 1.4 KB
8.Conclusion/35.Next steps.en.srt 1007 bytes
3.2. Apache Beam/08.Beam pipelines.en.srt 883 bytes

Data Science on Google Cloud Platform - Building Data Pipelines

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