With the proliferation of unstructured data, and the inability of relational databases to handle such data in an efficient manner, non-relational databases have gained importance over the last decade. This paper provi...
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ISBN:
(纸本)9781467367257
With the proliferation of unstructured data, and the inability of relational databases to handle such data in an efficient manner, non-relational databases have gained importance over the last decade. This paper provides a brief description of non-relational database characteristics. It explains the important features of MongoDB and oracle nosql databases. It provides guidance to the decision makers who want to use to choose between these two databases for their enterprise applications.
nosql, referred to "Not only SQL" is trending as a great competitor to Relational Database with its capacity to handle unstructured and semi structured data better than traditional RDBMS. Relational Database...
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ISBN:
(纸本)9789380544342
nosql, referred to "Not only SQL" is trending as a great competitor to Relational Database with its capacity to handle unstructured and semi structured data better than traditional RDBMS. Relational Database management system stores data in tabular format in the form of tables i.e. rows and columns, Alternatively, nosql is a schema less database which stores data in key-value format. nosql databases are used to store unstructured and semi structured data such as unstructured data is users session, log data, messaging, videos, audios, images, which are growing rapidly than structured data, which doesn't fit in traditional relational databases. nosql database is primarily designed to provide more flexibility, speed and scalability. This paper focuses on two prominent nosql databases i.e. mongo DB and oracle nosql and have compared the time analysis based on the insert, delete and update operations on data in each database for same datasets. The criteria for comparison includes basic data model, characteristics & database performance on same type of datasets.
The need to implement a distributed Clinical Data Repository (CDR) at a healthcare facility, rose in large part due to the high volume of data and the discrepancy of their sources. Over the years, Relational Database ...
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ISBN:
(纸本)9783030456962;9783030456979
The need to implement a distributed Clinical Data Repository (CDR) at a healthcare facility, rose in large part due to the high volume of data and the discrepancy of their sources. Over the years, Relational Database Management Systems (RDBMS) began to present difficulties in responding to the needs of various organizations when it comes to manipulating a large amount of data and to its scalability. Therefore, it was necessary to explore other techniques to choose the appropriate technology to build the CDR. In this way, nosql emerged as a new type of database that is quite useful to work with multiple and different types of data. In addition, nosql introduces a number of user-friendly features such as a distributed, scalable, elastic and also fault tolerant system. In this way, oracle nosql Database was the nosql solution chosen to develop this case study, using the key-value storage. This article was motivated to propose a CDR architecture based on oracle nosql Database functionalities. A one-single node database was deployed for better comprehension, in order to enhance their features for future implementation.
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