This paper explores and compares two leading database technologies analysis begins by
providing an overview of Snowflake and DynamoDB, highlighting their key features …

Data analysis is very important for the development of any business today. It helps to identify
organizational bottlenecks, optimize business processes, foresee customers' demands and …

Currently, the continuous massive growth in the size, variety, and velocity of data is defined
as big data. Relational databases have a limited ability to work with big data. Consequently …

Several data-centric applications today produce and manipulate a large volume of data, the
so-called Big Data. Traditional databases, in particular, relational databases, are not …

In the past few years, several cloud services such as IBM cloud services, Microsoft service,
Amazon web services as well as Google cloud platform services related databases are …

Resumo Bancos de Dados (BDs) NoSQL são uma tecnologia relativamente recente para
gerenciamento de dados cuja principal motivação é um melhor atendimento dos desafios …

The combine harvester knowledge base system uses the SQL server database, numerous
data tables in the database are independent and easy to build and manage. But when the …

Abstract Information systems are increasingly complex structures due to the diversity of
processes involved and the big data generated, hence data management is essential …

Question answering system is the significant application of Artificial Intelligence. If users ask
for information from QA system in the form of natural language query, the syntax and …

This dissertation used design science research to create a relationship mapping and
automatic documentation tool in the relational database management system (RDBMS) …