Big Data Analytics Platforms analyze from startups to traditional database players
Ionut Taranu ()
Additional contact information
Ionut Taranu: University of Economic Studies, Bucharest, Romania
Database Systems Journal, 2015, vol. 6, issue 1, pages 23-32
Big data analytics enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. With so many emerging trends around big data and analytics, IT organizations need to create conditions that will allow analysts and data scientists to experiment. "You need a way to evaluate, prototype and eventually integrate some of these technologies into the business," says Chris Curran. In this paper we are going to review 10 Top Big Data Analytics Platforms and compare the key-features.
Keywords: Big Data; In-memory; Hadoop; Data Analysis (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: http://EconPapers.repec.org/RePEc:aes:dbjour:v:6:y:2015:i:1:p:23-32
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 ().