GCP 101: A Data Scientist’s Guide to Google Cloud Platform, Serverless Analytics, and Production…
📰 Medium · Data Science
Learn the basics of Google Cloud Platform for data scientists to scale data and models dynamically
Action Steps
- Sign up for a Google Cloud account to access GCP services
- Explore the GCP console to understand the various services offered
- Configure a cloud-based data storage solution using Google Cloud Storage
- Run a serverless analytics pipeline using Google Cloud Dataflow
- Deploy a machine learning model to production using Google Cloud AI Platform
Who Needs to Know This
Data scientists and analysts can benefit from this guide to improve their workflow and collaboration on Google Cloud Platform
Key Insight
💡 Google Cloud Platform provides a scalable and collaborative environment for data scientists to work with data and models
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Scale your data science workflow with Google Cloud Platform!
Key Takeaways
Learn the basics of Google Cloud Platform for data scientists to scale data and models dynamically
Full Article
“Your local system is an isolated island. The cloud is a connected, infinite continent where data and models scale dynamically.” Continue reading on Medium »
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