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[ WebToolTip.com ] Google Cloud Professional Data Engineer Cert Prep
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[ WebToolTip.com ] Google Cloud Professional Data Engineer Cert Prep
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极快
收录时间:
2025-05-17
最近下载:
2026-05-07
DMCA/投诉/Complaint:
DMCA/投诉/Complaint
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文件列表
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/03 - MLOps on GCP.mp4
32.4 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/05 - Exploring data with Google BigQuery.mp4
31.2 MB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/02 - Copilot-enabled Rust.mp4
26.6 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/03 - Prompt engineering for BigQuery.mp4
23.5 MB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/02 - Demo Extending GCP Cloud Functions.mp4
21.4 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/02 - Demo PyTorch pretrained model.mp4
21.2 MB
~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/02 - Onboard to GCP.mp4
21.0 MB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/02 - Demo Build and deploy Rust Microservice Cloud Run.mp4
17.9 MB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/03 - Continuous integration with Rust and GitHub actions.mp4
16.7 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/03 - Understanding TPUs.mp4
16.7 MB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/01 - Using Bard to enhance productivity.mp4
15.2 MB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/05 - Energy efficiency of Python vs. Rust.mp4
14.9 MB
~Get Your Files Here !/07 - 1. Storage System Implementation/03 - Demo Google CLI SDK.mp4
14.9 MB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/04 - Demo unit test Rust.mp4
14.9 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/04 - Using Google BigQuery with Google Colab.mp4
14.6 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/02 - Optimize for GCP database solutions.mp4
13.5 MB
~Get Your Files Here !/02 - 1. Storage Technology Selection/02 - Pros and cons of open-source data engineering tools.mp4
13.1 MB
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/02 - Demo Load testing with Locust.mp4
12.9 MB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/03 - Demo App Engine Rust deploy.mp4
12.6 MB
~Get Your Files Here !/07 - 1. Storage System Implementation/02 - Demo Google Cloud Editor.mp4
12.3 MB
~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/02 - Using GCP NLP from the CLI.mp4
11.9 MB
~Get Your Files Here !/03 - 2. Data Pipeline Design/02 - Google Cloud storage strategy.mp4
10.3 MB
~Get Your Files Here !/17 - 1. Security and Compliance Design/03 - The Rust language is secure by design.mp4
10.3 MB
~Get Your Files Here !/07 - 1. Storage System Implementation/04 - Demo Google gcloud CLI tool.mp4
9.9 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/06 - Using GCP ML API vision from CLI.mp4
9.7 MB
~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/01 - Google Professional Data Engineer course overview.mp4
9.7 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/01 - PyTorch pretrained model overview.mp4
9.4 MB
~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/01 - Using Google machine learning courses.mp4
9.3 MB
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/01 - Plan-do-check-act methodology.mp4
9.1 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/04 - TPUs as part of technology transition.mp4
8.4 MB
~Get Your Files Here !/07 - 1. Storage System Implementation/01 - Demo Google Cloud Shell.mp4
8.3 MB
~Get Your Files Here !/07 - 1. Storage System Implementation/05 - Storage comparison.mp4
8.0 MB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/05 - Getting started with Vertex AI.mp4
7.8 MB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/03 - Demo Compute volatility on GCP.mp4
7.7 MB
~Get Your Files Here !/20 - Conclusion Ensuring Solution Quality/01 - Next steps.mp4
7.5 MB
~Get Your Files Here !/17 - 1. Security and Compliance Design/02 - Understand Rust crate audits by Google.mp4
7.3 MB
~Get Your Files Here !/02 - 1. Storage Technology Selection/03 - Google Cloud analytics services.mp4
7.0 MB
~Get Your Files Here !/17 - 1. Security and Compliance Design/01 - Integrated data security.mp4
6.7 MB
~Get Your Files Here !/03 - 2. Data Pipeline Design/01 - Data engineering pipelines.mp4
6.3 MB
~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/01 - Google Colab with TensorFlow Hub.mp4
6.1 MB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/01 - Jack and the Beanstalk as a data pipeline.mp4
5.9 MB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/01 - What is distroless.mp4
5.4 MB
~Get Your Files Here !/02 - 1. Storage Technology Selection/01 - Open-source vs. Google Cloud managed services.mp4
5.0 MB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/03 - Data pipeline triggers.mp4
5.0 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/01 - Overview GCP storage.mp4
4.5 MB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/02 - Compare compute offerings.mp4
4.3 MB
~Get Your Files Here !/11 - Introduction Operationalizing Machine Learning (ML) Models/01 - Course overview.mp4
3.7 MB
~Get Your Files Here !/16 - Introduction Ensuring Solution Quality/01 - Course overview.mp4
3.7 MB
~Get Your Files Here !/05 - Conclusion Designing Data Processing Systems/01 - Next steps.mp4
3.7 MB
~Get Your Files Here !/06 - Introduction Building and Operationalizing Data Processing Systems/01 - Course overview.mp4
3.7 MB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/01 - The challenges of big data.mp4
3.2 MB
~Get Your Files Here !/10 - Conclusion Building and Operationalizing Data Processing Systems/01 - Next steps.mp4
3.0 MB
~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/02 - Next steps.mp4
2.6 MB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/05 - Exploring data with Google BigQuery.srt
22.0 kB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/02 - Demo Extending GCP Cloud Functions.srt
17.5 kB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/02 - Copilot-enabled Rust.srt
16.9 kB
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/03 - MLOps on GCP.srt
14.9 kB
~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/02 - Onboard to GCP.srt
14.7 kB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/03 - Prompt engineering for BigQuery.srt
13.9 kB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/02 - Demo Build and deploy Rust Microservice Cloud Run.srt
12.6 kB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/03 - Continuous integration with Rust and GitHub actions.srt
12.2 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/02 - Demo PyTorch pretrained model.srt
12.2 kB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/04 - Demo unit test Rust.srt
10.7 kB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/01 - Using Bard to enhance productivity.srt
10.4 kB
~Get Your Files Here !/07 - 1. Storage System Implementation/03 - Demo Google CLI SDK.srt
10.4 kB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/04 - Using Google BigQuery with Google Colab.srt
10.1 kB
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/02 - Demo Load testing with Locust.srt
10.0 kB
~Get Your Files Here !/18 - 2. Scalability and Efficiency Assurance/05 - Energy efficiency of Python vs. Rust.srt
9.5 kB
~Get Your Files Here !/02 - 1. Storage Technology Selection/02 - Pros and cons of open-source data engineering tools.srt
8.8 kB
~Get Your Files Here !/17 - 1. Security and Compliance Design/03 - The Rust language is secure by design.srt
8.6 kB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/03 - Demo App Engine Rust deploy.srt
8.4 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/03 - Understanding TPUs.srt
8.4 kB
~Get Your Files Here !/07 - 1. Storage System Implementation/04 - Demo Google gcloud CLI tool.srt
8.0 kB
~Get Your Files Here !/07 - 1. Storage System Implementation/02 - Demo Google Cloud Editor.srt
7.9 kB
~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/02 - Using GCP NLP from the CLI.srt
7.4 kB
~Get Your Files Here !/07 - 1. Storage System Implementation/01 - Demo Google Cloud Shell.srt
7.4 kB
~Get Your Files Here !/07 - 1. Storage System Implementation/05 - Storage comparison.srt
6.8 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/06 - Using GCP ML API vision from CLI.srt
6.8 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/04 - TPUs as part of technology transition.srt
6.6 kB
~Get Your Files Here !/01 - Introduction Designing Data Processing Systems/01 - Google Professional Data Engineer course overview.srt
6.5 kB
~Get Your Files Here !/20 - Conclusion Ensuring Solution Quality/01 - Next steps.srt
6.5 kB
~Get Your Files Here !/03 - 2. Data Pipeline Design/02 - Google Cloud storage strategy.srt
6.4 kB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/02 - Optimize for GCP database solutions.srt
6.4 kB
~Get Your Files Here !/14 - 3. ML Model Measurement, Monitoring, and Troubleshooting/01 - Plan-do-check-act methodology.srt
6.3 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/01 - PyTorch pretrained model overview.srt
5.9 kB
~Get Your Files Here !/03 - 2. Data Pipeline Design/01 - Data engineering pipelines.srt
5.7 kB
~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/01 - Using Google machine learning courses.srt
5.6 kB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/01 - Jack and the Beanstalk as a data pipeline.srt
5.5 kB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/03 - Demo Compute volatility on GCP.srt
5.5 kB
~Get Your Files Here !/17 - 1. Security and Compliance Design/02 - Understand Rust crate audits by Google.srt
5.3 kB
~Get Your Files Here !/12 - 1. Pre-built ML Models as a Service/01 - Google Colab with TensorFlow Hub.srt
5.1 kB
~Get Your Files Here !/17 - 1. Security and Compliance Design/01 - Integrated data security.srt
5.0 kB
~Get Your Files Here !/13 - 2. Training and Serving Infrastructure Selection/05 - Getting started with Vertex AI.srt
4.9 kB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/03 - Data pipeline triggers.srt
4.3 kB
~Get Your Files Here !/08 - 2. Pipeline Building and Operationalization/02 - Compare compute offerings.srt
4.3 kB
~Get Your Files Here !/02 - 1. Storage Technology Selection/01 - Open-source vs. Google Cloud managed services.srt
4.2 kB
~Get Your Files Here !/19 - 3. Flexibility and Portability Assurance/01 - What is distroless.srt
4.2 kB
~Get Your Files Here !/02 - 1. Storage Technology Selection/03 - Google Cloud analytics services.srt
4.1 kB
~Get Your Files Here !/09 - 3. Processing Infrastructure Implementation/01 - The challenges of big data.srt
3.6 kB
~Get Your Files Here !/04 - 3. Data Warehousing and Processing Migration/01 - Overview GCP storage.srt
3.5 kB
~Get Your Files Here !/06 - Introduction Building and Operationalizing Data Processing Systems/01 - Course overview.srt
3.4 kB
~Get Your Files Here !/16 - Introduction Ensuring Solution Quality/01 - Course overview.srt
3.3 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
2.9 kB
~Get Your Files Here !/15 - Conclusion Operationalizing Machine Learning Models/02 - Next steps.srt
2.4 kB
Get Bonus Downloads Here.url
180 Bytes
~Get Your Files Here !/Bonus Resources.txt
70 Bytes
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本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!