LEADER 03603nam 22006255 450 001 9910369902003321 005 20230804131836.0 010 $a9781484255377 010 $a1484255372 024 7 $a10.1007/978-1-4842-5537-7 035 $a(CKB)5280000000190264 035 $a(MiAaPQ)EBC5997301 035 $a(DE-He213)978-1-4842-5537-7 035 $a(CaSebORM)9781484255377 035 $a(PPN)242821243 035 $a(OCoLC)1150901812 035 $a(OCoLC)on1150901812 035 $a(EXLCZ)995280000000190264 100 $a20191216d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHands On Google Cloud SQL and Cloud Spanner $eDeployment, Administration and Use Cases with Python /$fby Navin Sabharwal, Shakuntala Gupta Edward 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (342 pages) 311 08$a9781484255360 311 08$a1484255364 320 $aIncludes bibliographical references. 327 $aChapter 1: Google Cloud Platform -- Chapter 2: Cloud SQL -- Chapter 3: Working with CloudSQL -- Chapter 4: Administering CloudSQL instances -- Chapter 5: Cloud Spanner -- Chapter 6: Cloud Spanner Explained -- Chapter 7: Working with Cloud Spanner -- Chapter 8: Best Practices. . 330 $aDiscover 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. 606 $aApplication software 606 $aPython (Computer program language) 606 $aOpen source software 606 $aComputer and Information Systems Applications 606 $aPython 606 $aOpen Source 615 0$aApplication software. 615 0$aPython (Computer program language) 615 0$aOpen source software. 615 14$aComputer and Information Systems Applications. 615 24$aPython. 615 24$aOpen Source. 676 $a005.7585 700 $aSabharwal$b Navin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0911357 702 $aEdward$b Shakuntala Gupta$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910369902003321 996 $aHands On Google Cloud SQL and Cloud Spanner$92106211 997 $aUNINA