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dc.contributor.advisorBhise, Minal
dc.contributor.authorKotecha, Shyam
dc.date.accessioned2017-06-10T14:39:45Z
dc.date.available2017-06-10T14:39:45Z
dc.date.issued2012
dc.identifier.citationKotecha, Shyam (2012). SQL-GQL inter-query translation for Google App engine datastore. Dhirubhai Ambani Institute of Information and Communication Technology, x, 65 p. (Acc.No: T00350)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/387
dc.description.abstractOn demand services, usage based pricing, and scalability features of cloud computing has attracted many customers to move their applications into cloud. But different cloud service providers are using different standards & frameworks to host applications & data. Customers have to follow these standards and frameworks. When customer wants to migrate application and/or data to another cloud service provider, application code and database structure must be modified according to the standard of new cloud service provider. This modification is very costly and as a consequence, changing cloud service provider becomes difficult. This situation is called vendor lock-in in cloud. Focusing on database, complete database migration requires migration of data, database schema, and query. This thesis work concentrates on migration of query. Automation in migration process is achieved by translation algorithms. This thesis work introduces inter-query translation algorithms. These algorithms translate SQL (Structured Query Language) query and GQL (Google Query Language) query into each other. The implementation of these algorithms is demonstrated for MySQL Sakila database
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectWeb search engines
dc.subjectInternet programming
dc.subjectGoogle Apps
dc.subjectComputer software
dc.subjectDatabase management
dc.subjectInformation storage
dc.subjectRetrieval systems
dc.subjectCloud computing
dc.subjectGoogle Query Language
dc.subjectElectronic data processing
dc.subjectApplication software
dc.subjectData-Driven Web Application
dc.classification.ddc006.78 KOT
dc.titleSQL-GQL inter-query translation for Google App engine datastore
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201011015
dc.accession.numberT00350


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