Big problems with Big Data

• Autorzy: Goczyła Krzysztof

Identyfikatory

DOI

10.34808/tq2020/24.1/e

• Języki publikacji: EN

Abstrakty

EN

The article presents an overview of the most important issues related to the phenomenon called big data. The characteristics of big data concerning the data itself and the data sources are presented. Then, the big data life cycle concept is formulated. The next sections focus on two big data technologies: MapReduce for big data processing and NoSQL databases for big data storage.

Słowa kluczowe

EN

big data; MapReduce; NoSQL database; data science

PL

big data; MapReduce; baza danych NoSQL; nauka o danych

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2020
• Tom: Vol. 24, No 1
• Strony: 73--81
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Goczyła Krzysztof

• Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80–233 Gdansk, Poland

Bibliografia

• [1] Provost F and Fawcett T 2013 Data science for business, O’Reilly Media Inc.
• [2] Dean J Ghemawat S 2013 (Google, Inc.): MapReduce: Simplified Data Processing on Large Clusters, 6th Symposium on Operating Systems Design and Implementation
• [3] Redmond E and Wilson J R 2018 Seven databases in seven weeks: a guide to modern databases and the NoSQL movement - Second Edition, The Pragmatic Programmers
• [4] Marz N 2015 Big Data: Principle and Best Practices of Scalable Real-Time Data Systems, Manning Publications Inc.
• [5] Mayer-Schőnberger V and Cukier K 2014 Big Data: A Revolution That Will Transform how We Live, Work and Think, Harcourt Publishing
• [6] Leskovec J Rajaraman A and Ullman J D 2014 Mining of Massive Datasets, Cambridge University Press

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).