Word clustering in a Dataflow ML pipeline: Part 2
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103 дня – 3 8470:51Опубликовано 17 мая 2023, 0:15
How do you seamlessly inspect the interactive pipeline data and export it as a Dataflow job? In this demo's second part, Aniket Agrawal, Strategic Cloud Engineer at Google, visualizes the PCollection outputs obtained in part one. Aniket also performs programmatic pipeline export as a Dataflow job and output write operations to the Cloud Storage bucket from the same Vertex AI notebook. This video is of immense interest to Google Cloud and Dataflow enthusiasts.
Check out my Google Cloud Medium blog → goo.gle/3W7Rd0L
Details for Dataflow ML → goo.gle/42FvsYH
How to play with ML models in a Dataflow pipeline? → goo.gle/41KpZOW
Info about interactive pipeline → goo.gle/3Bzgsj8
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Check out my Google Cloud Medium blog → goo.gle/3W7Rd0L
Details for Dataflow ML → goo.gle/42FvsYH
How to play with ML models in a Dataflow pipeline? → goo.gle/41KpZOW
Info about interactive pipeline → goo.gle/3Bzgsj8
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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