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Cloud Spanner Schema Design
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Cloud Spanner Schema Design

This course is part of Google Cloud Database Engineer Specialization.

Course Cost

₹ 5,029

Beginner

Skill Level

1.5 Hours

Self-paced lessons

This practical project provides hands-on experience with Google Cloud Spanner's schema design capabilities and query optimization techniques. Working directly in the Google Cloud console, you'll explore and apply schema-related features to a Banking Operations database, gaining essential skills for managing enterprise-scale relational databases. The lab guides you through loading data into tables, using Python client libraries for data manipulation, making schema updates, adding secondary indexes, and analyzing query execution plans. Through step-by-step instructions, you'll learn how Cloud Spanner creates and optimizes query plans, helping you design more efficient database structures and queries for high-performance applications.

4.7

English

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What you'll learn

  • Load data into Cloud Spanner tables efficiently

  • Use Python client libraries to interact with database

  • Query data effectively with client libraries

  • Implement schema updates and modifications

  • Add secondary indexes to optimize query performance

  • Analyze and understand query execution plans

Skills you'll gain

Cloud Spanner
Database Schema Design
Query Optimization
Google Cloud
Python Client Libraries
Secondary Indexes
Data Loading
SQL

This course includes:

1.5 Hours PreRecorded video

Access on Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There is 1 module in this course

This project offers a comprehensive hands-on experience with Google Cloud Spanner's schema design and query optimization capabilities. Participants work directly in the Google Cloud console to explore and implement schema-related features for a Banking Operations database. The lab covers essential skills including loading data into tables, using Python client libraries for data manipulation, making schema updates, adding secondary indexes for performance optimization, and analyzing query execution plans. Through guided exercises, participants learn how Cloud Spanner creates and optimizes query plans, gaining valuable insights into database performance tuning. This practical approach helps develop skills needed for designing efficient database structures and writing optimized queries in cloud-native database environments.

Cloud Spanner - Defining Schemas and Understanding Query Plans

Module 1 · 1 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Database Engineer Specialization

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Cloud Spanner Schema Design

Beginner

Skill Level

1.5 Hours

Self-paced lessons

Course Cost

₹ 5,029

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.