| 1. Big Data Overview.mp4 | 8 MB | ||
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| 1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.html | 1 KB | ||
| 1. GCP Storage Overview.mp4 | 5.2 MB | ||
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| 1. Introduction to Bigquery.mp4 | 8.4 MB | ||
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| 1. Introduction to Exam Guide.mp4 | 3.7 MB | ||
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| 1. Introduction to Google Cloud.html | 204.8 B | ||
| 1. Introduction to Machine Learning Overview Section.mp4 | 11.9 MB | ||
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| 1.1 Course Slides.html | 102.4 B | ||
| 10. BigQuery Nested and Repeated Fields.mp4 | 42.9 MB | ||
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| 10. Cloud Spanner DEMO.mp4 | 109.1 MB | ||
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| 11. Cloud BigTable.mp4 | 41.9 MB | ||
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| 11. Nested Fields DEMO.mp4 | 62.7 MB | ||
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| 12. Memorystore.mp4 | 23.1 MB | ||
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| 12. Partioning and Clustering.mp4 | 34.5 MB | ||
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| 13. BigQuery and Machine Learning.mp4 | 23.9 MB | ||
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| 14. BigQuery and Machine Learning DEMO.mp4 | 66.5 MB | ||
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| 3. Data Fusion User Interface.mp4 | 28.3 MB | ||
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| 5. Supervised Machine Learning Process.mp4 | 74.8 MB | ||
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| 5. Why Choose GCP.mp4 | 75.2 MB | ||
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| 6. Dataproc with Cloud Storage.mp4 | 35.3 MB | ||
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| 7. Cloud SQL.mp4 | 49.8 MB | ||
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| 7. Overview AI and ML on Google Cloud.mp4 | 52.6 MB | ||
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| 8. BigQuery Loading Data DEMO.mp4 | 87.5 MB | ||
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| 8. Billing Tour DEMO.mp4 | 35.3 MB | ||
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| 8. Cloud SQL DEMO.mp4 | 112.7 MB | ||
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| 8. Vertex AI Overview.mp4 | 35.6 MB | ||
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| 9. BigQuery Understanding Schemas.mp4 | 43 MB | ||
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| 9. Cloud Spanner.mp4 | 34.9 MB | ||
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| 9. Setting a Budget Alert DEMO.mp4 | 20.4 MB | ||
| 9. Setting a Budget Alert DEMO.srt | 6.9 KB | ||
| 9. Vertex AI Workbench Jupyter Notebook on Google Cloud.mp4 | 59 MB | ||
| 9. Vertex AI Workbench Jupyter Notebook on Google Cloud.srt | 14.7 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 180 total files | |||
Google Cloud Professional Data Engineer Certification Course
https://DevCourseWeb.com
Last updated 4/2023
Created by Jose Portilla
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 89 Lectures ( 10h 30m ) | Size: 3.8 GB
Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!
What you'll learn
Learn what's needed to pass the Google Cloud Professional Data Engineer Certification Exam
Design Data Processing Systems with Google Cloud Tools
Operationalize Machine Learning Models for Deployment
Learn fundamentals of Big Data and Machine Learning
Discover how to use Google Cloud SQL and Spark
Learn to use BigQuery ML for predictions
Build real-time IoT Dashboards with DataFlow and Data Studio
Learn to use Google Cloud APIs for ML, such as Vision API and AutoML
Build Data Lakes and Data Warehouses on Google Cloud
Use DataFlow for Serverless Data Processing with Apache Beam
Understand the Google Cloud Platform Console
Create Virtual Machines with Google Compute Engines
Requirements
Google Cloud Account (to follow along with labs and assignments)
Some Basic Google Cloud Platform experience
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