Developed Comprehensive GCP Study Plans

• Day: 2024-01-25
• Time: 16:50 to 19:20
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: GCP, Data Engineering, Study Plan, Certification

Description

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.

Evidence

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• event_ids: []