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  • Search: subject:"Data Wrangling"
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Year of publication
Subject
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Big Data 4 Big data 2 Data collection 2 Datenerhebung 2 data wrangling 2 Analytics 1 Big Data Services 1 Cybersecurity 1 Data Growth 1 Data Mining 1 Data Ownership 1 Data Pipeline 1 Data Science 1 Data Wrangling 1 Data mining 1 Data quality 1 Data-Wrangling 1 Datenqualität 1 Ethical Challenges 1 Forecasting model 1 Information management 1 Informationsmanagement 1 Management 1 Prognoseverfahren 1 R 1 Takeover 1 Time series analysis 1 Visualization 1 Zeitreihenanalyse 1 big data 1 data acquisition 1 data cleaning 1 data pipelines 1 data science 1 exploratory data analysis 1 forecasting 1 tidy data 1 time series 1 Übernahme 1
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Online availability
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Undetermined 3 Free 1
Type of publication
All
Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 4
Author
All
Armour, Frank 1 Braun, Michael T. 1 Cook, Dianne 1 DeShon, Richard P. 1 Espinosa, J. Alberto 1 Hyndman, Rob J. 1 Jensen, Scott 1 Kaisler, Stephen H. 1 Kuljanin, Goran 1 Money, William H. 1 Wang, Earo 1
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Published in...
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International Journal of Systems and Service-Oriented Engineering (IJSSOE) 2 Organizational research methods : ORM 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
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ECONIS (ZBW) 2 Other ZBW resources 2
Showing 1 - 4 of 4
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A new tidy data structure to support exploration and modeling of temporal data
Wang, Earo; Cook, Dianne; Hyndman, Rob J. - 2019
Persistent link: https://www.econbiz.de/10012592798
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Special considerations for the acquisition and wrangling of big data
Braun, Michael T.; Kuljanin, Goran; DeShon, Richard P. - In: Organizational research methods : ORM 21 (2018) 3, pp. 633-659
Persistent link: https://www.econbiz.de/10011880155
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Big Data: The Path to Maturity
Money, William H.; Kaisler, Stephen H.; Armour, Frank; … - In: International Journal of Systems and Service-Oriented … 7 (2017) 2, pp. 1-23
Big Data refers to data volumes in the range of exabytes (1018th) requiring processing from distributed on-line storage systems with thousands of processors, mainframes or supercomputers where processing speed is measured in GFLOPS. The rate at which data are being collected are accelerating and...
Persistent link: https://www.econbiz.de/10012048173
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Integrating Big Data Services Into an Undergraduate MIS Curriculum
Jensen, Scott - In: International Journal of Systems and Service-Oriented … 7 (2017) 2, pp. 58-73
There is an insatiable demand in industry for data scientists, and graduate programs and certificates are gearing up to meet this demand. However, there is agreement in the industry that 80% of a data scientist's work consists of the transformation and profiling aspects of wrangling Big Data;...
Persistent link: https://www.econbiz.de/10012048176
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