{"_id":"ybrnEpDCFDZK86kyP","authorIDs":[],"author_short":["Piscopo, N."],"bibbaseid":"piscopo-bestpracticesformovingtothecloudusingdatamodelsinthedaaslifecycle-101","bibdata":{"author":["Piscopo, Nuccio"],"author_short":["Piscopo, N."],"bibtex":"@book{ piscopo_best_101,\n title = {Best Practices for Moving to the Cloud using Data Models in the {DaaS} Lifecycle},\n volume = {1},\n publisher = {{CA} Technologies},\n author = {Piscopo, Nuccio},\n month = {January},\n year = {101},\n note = {Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. However, despite the popularity of large scale decision support systems, data analysis tasks and, applications data marts, the majority of these applications have not yet embraced the Cloud. Computing paradigm. Support to dynamic scalability, heterogeneous environments or interfaces to business intelligence products ask for class of solutions to satisfy the paradigm. In this scenario, Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a {DBMS} designed offering in cloud computing is deployed.}\n}","bibtype":"book","id":"piscopo_best_101","key":"piscopo_best_101","month":"January","note":"Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. However, despite the popularity of large scale decision support systems, data analysis tasks and, applications data marts, the majority of these applications have not yet embraced the Cloud. Computing paradigm. Support to dynamic scalability, heterogeneous environments or interfaces to business intelligence products ask for class of solutions to satisfy the paradigm. In this scenario, Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed.","publisher":"CA Technologies","title":"Best Practices for Moving to the Cloud using Data Models in the DaaS Lifecycle","type":"book","volume":"1","year":"101","bibbaseid":"piscopo-bestpracticesformovingtothecloudusingdatamodelsinthedaaslifecycle-101","role":"author","urls":{},"downloads":0,"html":""},"bibtype":"book","biburl":"http://bibbase.org/zotero/valy8851","creationDate":"2014-10-20T03:49:00.392Z","downloads":0,"keywords":[],"search_terms":["best","practices","moving","cloud","using","data","models","daas","lifecycle","piscopo"],"title":"Best Practices for Moving to the Cloud using Data Models in the DaaS Lifecycle","year":101,"dataSources":["A4EkMccS6ypgD6dWJ"]}