| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Choosing the Right Storage and Processing Architecture | |||
| 1. Choosing the Right Storage and Processing Architecture.mp4 | 59.3 MB | ||
| 10 - Operating and Monitoring Production Data Workloads | |||
| 10. Operating and Monitoring Production Data Workloads.mp4 | 69.1 MB | ||
| 11 - Security and Compliance for Data Pipelines | |||
| 11. Security and Compliance for Data Pipelines.mp4 | 62.1 MB | ||
| 12 - Full Exam Simulation and Test-Taking Strategy | |||
| 0. Practice Test 2 Full-Length Exam Simulation.html | 73.4 KB | ||
| 1. Practice Test 1 Full-Length Exam Simulation.html | 73.4 KB | ||
| 12. Full Exam Simulation and Test-Taking Strategy.mp4 | 29.5 MB | ||
| images | |||
| 2 - Selecting Transformation Tools and Designing for Governance | |||
| 2. Selecting Transformation Tools and Designing for Governance.mp4 | 48.3 MB | ||
| 3 - Streaming Ingestion with Pub Sub and Dataflow | |||
| 3. Streaming Ingestion with Pub Sub and Dataflow.mp4 | 54.6 MB | ||
| 4 - Batch ETL, Dataproc, and Change Data Capture | |||
| 4. Batch ETL, Dataproc, and Change Data Capture.mp4 | 52.2 MB | ||
| 5 - Data Fusion, Dataform, and Orchestration with Cloud Composer | |||
| 5. Data Fusion, Dataform, and Orchestration with Cloud Composer.mp4 | 52.4 MB | ||
| 6 - BigQuery Storage Optimization | |||
| 6. BigQuery Storage Optimization.mp4 | 34.4 MB | ||
| 7 - Bigtable, Spanner, Cloud SQL, and Cloud Storage | |||
| 7. Bigtable, Spanner, Cloud SQL, and Cloud Storage.mp4 | 48.1 MB | ||
| 8 - BigQuery ML vs Vertex AI for Data-Driven ML | |||
| 8. BigQuery ML vs Vertex AI for Data-Driven ML.mp4 | 50.5 MB | ||
| 9 - BI, Visualization, and Data Sharing | |||
| 9. BI, Visualization, and Data Sharing.mp4 | 32.4 MB | ||
| img_118324042.js | 203.6 KB |
Google Cloud Professional Data Engineer Exam Prep
https://WebToolTip.com
Published 8/2026
Created by Aseem Mankotia
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 12 Lectures ( 3h 6m ) | Size: 593.4 MB
Scenario-based, exam-focused preparation covering BigQuery, Dataflow, Bigtable, Vertex AI, and security
What you'll learn
⚡ Match a business requirement to the correct GCP storage service: Cloud SQL, BigQuery, Bigtable, Spanner, or Firestore
⚡ Design streaming pipelines with Pub/Sub and Dataflow including windowing, watermarks, and exactly-once semantics
⚡ Choose between Dataflow, Dataproc, Data Fusion, and Dataform for a given transformation scenario
⚡ Design BigQuery partitioning, clustering, and materialized view strategies to minimize cost and latency
⚡ Design Bigtable row keys that avoid hotspotting for high-throughput workloads
Requirements
❗ Strong working SQL proficiency and familiarity with ETL/ELT, data modeling, and pipelines
❗ Helpful: 1+ year building data solutions on Google Cloud, distributed-systems basics, and Associate Cloud Engineer or equivalent hands-on GCP experience
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