Building and Operating a Large-Scale Enterprise Data Analytics Platform-Reference-Cited by-同舟云学术

Building and Operating a Large-Scale Enterprise Data Analytics Platform

Published:2021-02 Issue: Volume:23 Page:100181
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Bauer Daniel^ORCID,Froese Florian,Garcés-Erice Luis^ORCID,Giblin Chris,Labbi Abdel,Nagy Zoltán A.,Pardon Niels^ORCID,Rooney Sean,Urbanetz Peter,Vetsch Pascal,Wespi Andreas^ORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference36 articles.

1. The Hadoop distributed file system;Shvachko,2010

2. A comprehensive view of Hadoop research a systematic literature review;Polato;J. Netw. Comput. Appl.,2014

3. Azure data lake store: a hyperscale distributed file service for Big Data analytics;Ramakrishnan,2017

4. Data lakes;Mathis;Datenbank Spektrum,2017

5. Impala: a modern, open-source SQL engine for Hadoop;Kornacker,2015

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