Date d'abonnement : 2024
Google Certified Educator Level 2 Exam (A)
Earned août 6, 2026 EDT
Create Your First Gemini Enterprise Application
Earned août 4, 2026 EDT
Build a Data Mesh with Knowledge Catalog
Earned juil. 25, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned juil. 25, 2026 EDT
Build a Data Warehouse with BigQuery
Earned juil. 17, 2026 EDT
Validate your expertise with Google tools and advanced technology integration skills! Complete the quiz and labs below to complete the Google Certified Educator Level 2 Exam (A).
Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Complete the introductory Build a Data Mesh with Knowledge Catalog skill badge to demonstrate skills in the following: building a data mesh with Knowledge Catalog to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Knowledge Catalog.
Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.
Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.