Reshaping Smart Businesses with Cloud Database Solutions
Bogdan Nedelcu (),
Andreea Maria Ionescu (),
Ana Maria Ionescu () and
Alexandru George Vasile ()
Additional contact information
Bogdan Nedelcu: University of Economic Studies, Bucharest, Romania
Andreea Maria Ionescu: University of Economic Studies, Bucharest, Romania
Ana Maria Ionescu: University of Economic Studies, Bucharest, Romania
Alexandru George Vasile: University of Economic Studies, Bucharest, Romania
Database Systems Journal, 2015, vol. 5, issue 4, 21-38
The aim of this article is to show the importance of Big Data and its growing influence on companies. We can also see how much are the companies willing to invest in big data and how much are they currently gaining from their big data. In this big data era, there is a fiercely competition between the companies and the technologies they use when building their strategies. There are almost no boundaries when it comes to the possibilities and facilities some databases can offer. However, the most challenging part lays in the development of efficient solutions - where and when to take the right decision, which cloud service is the most accurate being given a certain scenario, what database is suitable for the business taking in consideration the data types. These are just a few aspects which will be dealt with in the following chapters as well as exemplifications of the most accurate cloud services (e.g. NoSQL databases) used by business leaders nowadays.
Keywords: Smart business; cloud database; cloud solutions; NoSQL databases; weaknesses; key-value databases; Riak; columnar databases; Hbase; document-oriented databases; MongoDB; graph databases; Neo4j; cloud services. (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:5:y:2015:i:4:p:21-38
Access Statistics for this article
Database Systems Journal is currently edited by Ion Lungu
More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Series data maintained by Adela Bara ().