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Hands On Google Cloud SQL and Cloud Spanner

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Hands On Google Cloud SQL and Cloud Spanner
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56,01 AUD
Typical price289,88 PLN
Lowest (90 days)27,01 PLN
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Last updated1 week ago
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2026-08-08 2026-08-15
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2026-08-0827,01
2026-08-0943,67
2026-08-1557,19
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VI VitalSource 27,01 AUD 29,00 AUD 56,01 AUD Available 1 week ago View offer
KN Knetbooks.com 43,67 USD 15,00 USD 58,67 USD Available 6 days ago View offer
SP SpringerNatureLink Shop INT 7 864,00 JPY free 7 864,00 JPY Available 17 hours ago View offer
SP Springer Nature Author 7 864,00 JPY 19,00 JPY 7 883,00 JPY Available 1 week ago View offer
SP SpringerNatureLink Shop INT 65,00 EUR 29,00 EUR 94,00 EUR Available 1 day ago View offer

Prices and availability may change. Last Updated: 08.08.2026 11:46.

EAN 9781484255360
Springer Nature
0,0
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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. Sample applications are given that use Python to connect to CloudSQL and CloudSpanner, along with helpful features provided by the engines. You''ll also implement practical best practices in the last chapter. 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 interestingways. What You'll Learn 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 Who This Book Is For Application architects, database architects, software developers, data engineers, cloud architects.

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