Building and Operating a Large-Scale Enterprise Data Analytics Platform

被引：6

作者：

Bauer, Daniel ^{[1
]}

Froese, Florian ^{[1
]}

Garces-Erice, Luis ^{[1
]}

Giblin, Chris ^{[1
]}

Labbi, Abdel ^{[1
]}

Nagy, Zoltan A. ^{[1
]}

Pardon, Niels ^{[1
]}

Rooney, Sean ^{[1
]}

Urbanetz, Peter ^{[1
]}

Vetsch, Pascal ^{[1
]}

Wespi, Andreas ^{[1
]}

机构：

[1] IBM Res Europe, Saumerstr 4, CH-8803 Ruschlikon, Switzerland

来源：

BIG DATA RESEARCH | 2021年 / 23卷

关键词：

Hybrid cloud; Datalake; Storage; Ingestion; SQL/Hadoop; Governance;

D O I：

10.1016/j.bdr.2020.100181

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Over the last three years we have been running a large-scale data processing platform for applying analytics to corporate data at scale on an OpenStack private cloud instance. Our platform makes a wide variety of corporate data assets, such as sales, marketing, customer information, as well as data from less conventional sources such as weather, news and social media available for analytics purposes to hundreds of globally distributed teams across the company. We control every layer in the stack from the processing engines down to the hardware. Here we report our experiences in building and operating such a system. We describe our technical choices and describe how they evolved as we observed the actual workloads created by users. (C) 2020 The Authors. Published by Elsevier Inc.

引用

下载

页数：20

共 50 条

[31] TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping
Assis, Luiz Fernando F. G.
Ferreira, Karine Reis
Vinhas, Lubia
Maurano, Luis
Almeida, Claudio
Carvalho, Andre
Rodrigues, Jether
Maciel, Adeline
Camargo, Claudinei
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (11)
[32] BANKSAFE: Visual analytics for big data in large-scale computer networks
Fischer, Fabian
Fuchs, Johannes
Mansmann, Florian
Keim, Daniel A.
INFORMATION VISUALIZATION, 2015, 14 (01) : 51 - 61
[33] Visual Analytics to make sense of large-scale administrative and normative data
Guarino, Alfonso
Lettieri, Nicola
Malandrino, Delfina
Russo, Pietro
Zaccagnino, Rocco
2019 23RD INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): BIOMEDICAL VISUALIZATION AND GEOMETRIC MODELLING & IMAGING, 2019, : 133 - 138
[34] Effective ensemble learning approach for large-scale medical data analytics
Lakshmana Rao Namamula
Daniel Chaytor
International Journal of System Assurance Engineering and Management, 2024, 15 : 13 - 20
[35] Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare
Tresp, Volker
Overhage, J. Marc
Bundschus, Markus
Rabizadeh, Shahrooz
Fasching, Peter A.
Yu Shipeng
PROCEEDINGS OF THE IEEE, 2016, 104 (11) : 2180 - 2206
[36] A Novel Visual analytics Approach for Clustering Large-Scale Social Data
Wang, Zhangye
Zhou, Juanxia
Chen, Wei
Chen, Chang
Liao, Jiyuan
Maciejewski, Ross
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013,
[37] Efficient Graph Analytics in Python']Python for Large-Scale Data Science
Zhou, Xiantian
Ordonez, Carlos
BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2021), 2021, 12925 : 158 - 164
[38] Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications
Bicer, Tekin
Yin, Jian
Chiu, David
Agrawal, Gagan
Schuchardt, Karen
IEEE 27TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2013), 2013, : 1205 - 1216
[39] Large-scale simulation platform
Institute of Cybernetics, Tallinn Technical University, Akadeemia tee 21, 12618 Tallinn, Estonia
WSEAS Trans. Comput., 2007, 1 (65-71):
[40] An Open Transportation Network Resilience Analytics Platform for Large-Scale Urban Accessibility Analysis
Castro, Edgar
Wang, Qi
Akhavan, Armin
CONSTRUCTION RESEARCH CONGRESS 2018: INFRASTRUCTURE AND FACILITY MANAGEMENT, 2018, : 213 - 221

← 1 2 3 4 5 →