GCP200SPANNER

Understanding Cloud Spanner

In this course, you learn about Cloud Spanner. You will get an introduction to Cloud Spanner and understand how it differs from other database products. You also learn when and how to use Cloud Spanner to solve your relational database needs at scale.

✓ Formation officielle Google CloudNiveau Intermediate⏱️ 3 jours (21h)

Ce que vous allez apprendre

Build scalable, managed, relational databases by using Cloud Spanner.
Create and manage Cloud Spanner databases by using the CLI, Terraform, Python API, and the Google Cloud console.
Program and run queries and transactions by using the Cloud Spanner API.
Integrate Cloud Spanner with applications.

Prérequis

Some prior Google Cloud experience at the fundamental level and experience with relational databases, the SQL language, and some programming are assumed.

Public cible

Customers

Programme de la Formation

7 modules pour maîtriser les fondamentaux

Objectifs

Explain the core concepts and features of Cloud Spanner.
Understand how Cloud Spanner fits in the CAP theorem.
Describe the history of Cloud Spanner.
Explain Cloud Spanner use cases.

Sujets abordés

→What is Spanner?
→Spanner and the CAP Theorem
→History of Spanner
→Cloud Spanner Use Cases

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used

Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).

Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.