[ WebToolTip.com ] Google Cloud Professional Data Engineer Cert Prep
File List
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/03 - MLOps on GCP.mp4 30.9 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/05 - Exploring data with Google BigQuery.mp4 29.8 MB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/02 - Copilot-enabled Rust.mp4 25.4 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/03 - Prompt engineering for BigQuery.mp4 22.4 MB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/02 - Demo Extending GCP Cloud Functions.mp4 20.4 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/02 - Demo PyTorch pretrained model.mp4 20.2 MB
- ~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/02 - Onboard to GCP.mp4 20.0 MB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/02 - Demo Build and deploy Rust Microservice Cloud Run.mp4 17.0 MB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/03 - Continuous integration with Rust and GitHub actions.mp4 15.9 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/03 - Understanding TPUs.mp4 15.9 MB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/01 - Using Bard to enhance productivity.mp4 14.5 MB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/05 - Energy efficiency of Python vs. Rust.mp4 14.2 MB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/03 - Demo Google CLI SDK.mp4 14.2 MB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/04 - Demo unit test Rust.mp4 14.2 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/04 - Using Google BigQuery with Google Colab.mp4 13.9 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/02 - Optimize for GCP database solutions.mp4 12.9 MB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/02 - Pros and cons of open-source data engineering tools.mp4 12.5 MB
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/02 - Demo Load testing with Locust.mp4 12.3 MB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/03 - Demo App Engine Rust deploy.mp4 12.0 MB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/02 - Demo Google Cloud Editor.mp4 11.7 MB
- ~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/02 - Using GCP NLP from the CLI.mp4 11.4 MB
- ~Get Your Files Here !/03 - 2. Data Pipeline Design/02 - Google Cloud storage strategy.mp4 9.8 MB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/03 - The Rust language is secure by design.mp4 9.8 MB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/04 - Demo Google gcloud CLI tool.mp4 9.5 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/06 - Using GCP ML API vision from CLI.mp4 9.3 MB
- ~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/01 - Google Professional Data Engineer course overview.mp4 9.3 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/01 - PyTorch pretrained model overview.mp4 9.0 MB
- ~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/01 - Using Google machine learning courses.mp4 8.9 MB
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/01 - Plan-do-check-act methodology.mp4 8.7 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/04 - TPUs as part of technology transition.mp4 8.0 MB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/01 - Demo Google Cloud Shell.mp4 7.9 MB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/05 - Storage comparison.mp4 7.6 MB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/05 - Getting started with Vertex AI.mp4 7.4 MB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/03 - Demo Compute volatility on GCP.mp4 7.4 MB
- ~Get Your Files Here !/20 - Conclusion Ensuring Solution Quality/01 - Next steps.mp4 7.2 MB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/02 - Understand Rust crate audits by Google.mp4 7.0 MB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/03 - Google Cloud analytics services.mp4 6.7 MB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/01 - Integrated data security.mp4 6.3 MB
- ~Get Your Files Here !/03 - 2. Data Pipeline Design/01 - Data engineering pipelines.mp4 6.0 MB
- ~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/01 - Google Colab with TensorFlow Hub.mp4 5.8 MB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/01 - Jack and the Beanstalk as a data pipeline.mp4 5.6 MB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/01 - What is distroless.mp4 5.1 MB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/01 - Open-source vs. Google Cloud managed services.mp4 4.8 MB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/03 - Data pipeline triggers.mp4 4.8 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/01 - Overview GCP storage.mp4 4.2 MB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/02 - Compare compute offerings.mp4 4.1 MB
- ~Get Your Files Here !/11 - Introduction Operationalizing Machine Learning (ML) Models/01 - Course overview.mp4 3.6 MB
- ~Get Your Files Here !/16 - Introduction Ensuring Solution Quality/01 - Course overview.mp4 3.5 MB
- ~Get Your Files Here !/05 - Conclusion Designing Data Processing Systems/01 - Next steps.mp4 3.5 MB
- ~Get Your Files Here !/06 - Introduction Building and Operationalizing Data Processing Systems/01 - Course overview.mp4 3.5 MB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/01 - The challenges of big data.mp4 3.0 MB
- ~Get Your Files Here !/10 - Conclusion Building and Operationalizing Data Processing Systems/01 - Next steps.mp4 2.8 MB
- ~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/02 - Next steps.mp4 2.5 MB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/05 - Exploring data with Google BigQuery.srt 21.5 KB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/02 - Demo Extending GCP Cloud Functions.srt 17.1 KB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/02 - Copilot-enabled Rust.srt 16.6 KB
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/03 - MLOps on GCP.srt 14.5 KB
- ~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/02 - Onboard to GCP.srt 14.3 KB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/03 - Prompt engineering for BigQuery.srt 13.6 KB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/02 - Demo Build and deploy Rust Microservice Cloud Run.srt 12.3 KB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/03 - Continuous integration with Rust and GitHub actions.srt 11.9 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/02 - Demo PyTorch pretrained model.srt 11.9 KB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/04 - Demo unit test Rust.srt 10.5 KB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/01 - Using Bard to enhance productivity.srt 10.2 KB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/03 - Demo Google CLI SDK.srt 10.2 KB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/04 - Using Google BigQuery with Google Colab.srt 9.8 KB
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/02 - Demo Load testing with Locust.srt 9.7 KB
- ~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/05 - Energy efficiency of Python vs. Rust.srt 9.3 KB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/02 - Pros and cons of open-source data engineering tools.srt 8.6 KB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/03 - The Rust language is secure by design.srt 8.4 KB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/03 - Demo App Engine Rust deploy.srt 8.2 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/03 - Understanding TPUs.srt 8.2 KB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/04 - Demo Google gcloud CLI tool.srt 7.9 KB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/02 - Demo Google Cloud Editor.srt 7.7 KB
- ~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/02 - Using GCP NLP from the CLI.srt 7.3 KB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/01 - Demo Google Cloud Shell.srt 7.2 KB
- ~Get Your Files Here !/07 - 1. Storage System Implementation/05 - Storage comparison.srt 6.7 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/06 - Using GCP ML API vision from CLI.srt 6.7 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/04 - TPUs as part of technology transition.srt 6.5 KB
- ~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/01 - Google Professional Data Engineer course overview.srt 6.3 KB
- ~Get Your Files Here !/20 - Conclusion Ensuring Solution Quality/01 - Next steps.srt 6.3 KB
- ~Get Your Files Here !/03 - 2. Data Pipeline Design/02 - Google Cloud storage strategy.srt 6.3 KB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/02 - Optimize for GCP database solutions.srt 6.2 KB
- ~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/01 - Plan-do-check-act methodology.srt 6.1 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/01 - PyTorch pretrained model overview.srt 5.7 KB
- ~Get Your Files Here !/03 - 2. Data Pipeline Design/01 - Data engineering pipelines.srt 5.5 KB
- ~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/01 - Using Google machine learning courses.srt 5.5 KB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/01 - Jack and the Beanstalk as a data pipeline.srt 5.4 KB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/03 - Demo Compute volatility on GCP.srt 5.3 KB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/02 - Understand Rust crate audits by Google.srt 5.2 KB
- ~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/01 - Google Colab with TensorFlow Hub.srt 5.0 KB
- ~Get Your Files Here !/17 - 1. Security and Compliance Design/01 - Integrated data security.srt 4.9 KB
- ~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/05 - Getting started with Vertex AI.srt 4.7 KB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/03 - Data pipeline triggers.srt 4.2 KB
- ~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/02 - Compare compute offerings.srt 4.2 KB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/01 - Open-source vs. Google Cloud managed services.srt 4.1 KB
- ~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/01 - What is distroless.srt 4.1 KB
- ~Get Your Files Here !/02 - 1. Storage Technology Selection/03 - Google Cloud analytics services.srt 4.0 KB
- ~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/01 - The challenges of big data.srt 3.5 KB
- ~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/01 - Overview GCP storage.srt 3.4 KB
- ~Get Your Files Here !/06 - Introduction Building and Operationalizing Data Processing Systems/01 - Course overview.srt 3.3 KB
- ~Get Your Files Here !/16 - Introduction Ensuring Solution Quality/01 - Course overview.srt 3.2 KB
- ~Get Your Files Here !/05 - Conclusion Designing Data Processing Systems/01 - Next steps.srt 2.9 KB
- ~Get Your Files Here !/10 - Conclusion Building and Operationalizing Data Processing Systems/01 - Next steps.srt 2.8 KB
- ~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/02 - Next steps.srt 2.3 KB
- Get Bonus Downloads Here.url 180 bytes
- ~Get Your Files Here !/Bonus Resources.txt 70 bytes
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