Naslov
MapReduce Research on Warehousing of Big Data

Autori
Ptiček, Marina ; Vrdoljak, Boris

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Mipro 2017 Proceedings / Biljanović, P. - Rijeka, 2017, 1593-1598

ISBN
978-953-233-093-9

Skup
Mipro 2017

Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
MapReduce ; big data ; data warehousing

Sažetak
The growth of social networks and affordability of various sensing devices has lead to a huge increase of both human and non-human entities that are interconnected via various networks, mostly Internet. All of these entities generate large amounts of various data, and BI analysts have realized that such data contain knowledge that can no longer be ignored. However, traditional support for extraction of knowledge from mostly transactional data - data warehouse - can no longer cope with large amounts of fast incoming various, unstructured data - big data - and is facing a paradigm shift. Big data analytics has become a very active research area in the last few years, as well as the research of underlying data organization that would enhance it, which could be addressed as big data warehousing. One research direction is enhancing data warehouse with new paradigms that have proven to be successful at handling big data. Most popular of them is the MapReduce paradigm. This paper provides an overview on research and attempts to incorporate MapReduce with data warehouse in order to empower it for handling of big data.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA