Google Cloud

Understanding Cloud Spanner

Google Cloud

Understanding Cloud Spanner

Google Cloud Training

Instructor: Google Cloud Training

Access provided by Samsung Research, Bangalore

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Assessments

6 assignments

Taught in English

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There are 7 modules in this course

A brief introduction to the course structure, and it's contents.

What's included

1 reading

This module discusses the core concepts and aspects of Cloud Spanner. You learn about the history of Cloud Spanner, understand how Cloud Spanner relates to the CAP theorem, and explain a variety of Cloud Spanner use cases.

What's included

3 readings1 assignment

This module discusses the options for architecting Spanner instances based on location, capacity, availability, and cost. You will learn how to create Spanner instances by using the Google Cloud console, Google Cloud CLI, Terraform, and Cloud Spanner databases by using SQL.

What's included

1 video3 readings1 assignment2 app items

This module discusses the options for optimizing database schemas to perform optimally in Spanner. You learn how to choose the appropriate primary key for your data. You learn how to manage relationships with primary and foreign keys and with interleaved tables.

What's included

3 readings1 assignment2 app items

This module introduces the methods for authenticating users and applications that connect to Spanner databases. You will learn how to create applications that connect to Cloud Spanner by using Google Cloud client libraries and Python. You optimize queries by using indexes, strong reads, and stale reads. You also learn how to manage transactions in Cloud Spanner.

What's included

4 readings1 assignment2 app items

This module introduces the steps for deploying Cloud Spanner applications to Google Cloud serverless runtimes. You also learn how to migrate data to and from Cloud Spanner by using Dataflow jobs and Apache Beam.

What's included

2 readings1 assignment2 app items

This module introduces administering Cloud Spanner instances. You learn how to backup, restore, import, and export data. You learn how to modify database schemas with no downtime. You also learn how to monitor your Cloud Spanner databases and applications.

What's included

4 readings1 assignment2 app items

Instructor

Google Cloud Training
Google Cloud
2,064 Courses 3,938,230 learners

Offered by

Google Cloud

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