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Hands on Google Cloud SQL and Cloud Spanner : deployment, administration and use cases with Python /
Discover the methodologies and best practices for getting started with Google Cloud Platform relational services - CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers fro...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Apress,
2020.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Sabharwal, Navin. | |
| 245 | 1 | 0 | |a Hands on Google Cloud SQL and Cloud Spanner : |b deployment, administration and use cases with Python / |c Navin Sabharwal, Shakuntala Gupta Edward. |
| 260 | |a [Place of publication not identified] : |b Apress, |c 2020. | ||
| 300 | |a 1 online resource | ||
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| 505 | 0 | |a Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Getting Started with GCP -- Signing Up -- Accessing Google Cloud Platform -- Cloud Console -- Cloud Shell -- Cloud SDK -- Project -- Ownership: Projects and Billing -- Projects and Isolations -- Project as Namespace -- Create a Project -- Summary -- Chapter 2: Cloud SQL -- Relational Databases -- Primary Key -- Foreign Key -- Constraints -- Operations -- DDL -- DML -- Read Requests -- Transactions -- Getting Started with Cloud SQL -- Provision a MySQL Instance | |
| 505 | 8 | |a Provisioning a PostgreSQL Instance -- Summary -- Chapter 3: Working with CloudSQL -- Getting Started in Cloud Shell -- Connect to the Database -- Alternative Way to Connect to the Instance -- Create Database -- Create Table -- Insert and Select -- Load and Query Sample Dataset -- Python Program -- Feast Out -- Database Schema -- Provision Compute Instance -- Set Up Python Development Environment -- Enable APIs -- Create Service Account -- Install and Configure Cloud SDK -- Python Program -- Run and Verify -- Wrap Up -- Summary -- Chapter 4: Administering CloudSQL -- Authorization and Security | |
| 505 | 8 | |a Authorized Network -- Data in Transit -- Cloud Proxy -- Private IP Address -- Authorization -- Backups and Restores -- CloudSQL MySQL -- Binary Logging -- Maintenance -- Managing Resources -- High Availability -- Replication -- Read Replica -- Fault Tolerance Replica -- Enable High Availability -- Read Replicas -- Logging -- Summary -- Chapter 5: Cloud Spanner -- New in NewSQL -- Origins of Cloud Spanner -- Google Cloud Spanner -- Spanner and CAP Theorem -- Best Fit -- Development Support -- Summary -- Chapter 6: Cloud Spanner Explained -- Instance -- Data Modeling -- Databases and Tables | |
| 505 | 8 | |a Primary Keys -- Choose a Key to Avoid Hotspots -- Interleaving -- Splits -- Secondary Indexes -- Storing Clause -- Interleaved Indexes -- Replication -- Transactions -- Read/Write -- Read Only -- Handling Multiple Transactions -- Read/Write Transactions -- Sequential Occurrence -- Simultaneous Occurrence -- Data Invalidated -- Different Fields Updates -- Blind Writes -- Read/Write with Read Only -- Distributed Transactions Explained -- Writes -- Reads -- Summary -- Chapter 7: Getting Started with Spanner -- Provisioning CloudSpanner Instance -- Getting Started in Cloud Console | |
| 505 | 8 | |a Connect to the Spanner Instance -- Create Database -- Create Schema -- Reading and Writing Data -- Python Program -- Feast Out -- Database Schema -- Provision Compute Instance -- Set up Python Development Environment -- Install and Configure Cloud SDK -- Python Program -- Run and Verify -- Wrap Up -- Summary -- Chapter 8: Best Practices -- Cloud SQL Best Practices -- Plan Resources Efficiently -- Storage -- CPU -- RAM -- Maintenance Activities -- Use Read Replicas -- Instance Location -- Keep Tables to a Reasonable Number -- Sharding at Designing -- Connection Management -- Certificates | |
| 520 | |a Discover the methodologies and best practices for getting started with Google Cloud Platform relational services - CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud. You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application. The book provides sample applications using Python to connect to CloudSQL and CloudSpanner, and uses features provided by the engines. Practical best practices are provided for implementation in the last chapter. which allow you to try out the examples and extend them in interesting ways. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways. You will: Get started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administration Apply best practices and use Google's CloudSQL and CloudSpanner offering Work with code in Python notebooks and scripts. | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Relational databases. | |
| 650 | 0 | |a SQL (Computer program language) | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Bases de données relationnelles. | |
| 650 | 6 | |a SQL (Langage de programmation) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 650 | 7 | |a Relational databases |2 fast | |
| 650 | 7 | |a SQL (Computer program language) |2 fast | |
| 700 | 1 | |a Edward, Shakuntala Gupta. | |
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