📅 2024-01-25 — Session: Developed Comprehensive GCP Study Plans
🕒 16:50–19:20
🏷️ Labels: GCP, Data Engineering, Study Plan, Certification
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to create a comprehensive set of study plans for the Google Professional Data Engineer exam, covering various aspects of Google Cloud Platform (GCP) and data engineering.
Key Activities
- Developed a structured 7-day study plan for beginners focusing on the basics of GCP.
- Created detailed study plans for Weeks 2-3, focusing on security, compliance, reliability, and data processing in GCP.
- Outlined study plans for Week 4 on designing for reliability and fidelity, including disaster recovery strategies.
- Planned Week 5 curriculum on data architecture flexibility and data migration.
- Formulated a two-week plan on data pipelines, covering ETL processes and CI/CD practices.
- Detailed Week 8 study plan on data storage solutions using BigQuery and data lakes.
- Prepared Week 9 study plan focusing on data preparation and analysis with BigQuery.
- Developed Week 10 plan on maintaining and automating data workloads using Cloud Composer.
- Drafted Day 1 plan for exam preparation, introducing GCP and account setup.
Achievements
- Successfully created a series of comprehensive study plans that cover all necessary topics for the Google Professional Data Engineer exam.
Pending Tasks
- Review and refine the study plans to ensure they align with the latest exam requirements.
- Gather feedback from peers or mentors to enhance the study plans further.