Friday, December 20, 2019
Comparing Relational Database And Data Storage Essay
Introduction This paper will discuss the main difference between the relational database optimized for on line transactions and a data warehouse optimized for processing and summarizing large amounts of data. Next this author will outline the difference database requirements for operational data for decision support data. Next this paper will describe three example in which databases could be used to support decision making in a large organizational environment. Lastly this author will describe three other examples in which data warehoused and data mining could be used to support data processing and trend analysis in a large organizational environment. Difference between Relational Database and Data Warehouse Optimized What are the main differences between the structure of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data? Relational database online transaction consist a unit of work performed within a database management system and treated in a coherent and reliable way independent of other transactions. Many types of organization use this type of transaction, consumer use this type of transaction when using their ATM. The short answer is, these types of transaction are great at collecting data. OLTP are fast transactions recording process like sales transaction or ATM machines. Also, used in Health Care recording patient information. What is a data warehouse optimized forShow MoreRelatedDefining Nosql Database And Its Classification Essay1160 Words à |à 5 Pagesled database analysts and administrators to find more convenient ways to store the big amount of data. Big data is known as expression in the tech-world. It is defined as a huge collection of data that cannot be managed by relational databases (Moniruzzaman and Hossain 1). 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To meet these challenges they needRead MoreA Report On Relational Databases923 Words à |à 4 Pageswas created in the response to relational databases not being able to handle the scale and changing challenges of modern applications, they also cannot take advantage of the cheap, easy storage abilities and also the processing power accessible now. NoSQL includes a variety of different technologies that were developed in response to the surge of data stored by users, objects and products. 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