Chapter 8 Building Resilience into the Metadata-Based ETL Process Using Open Source Big Data Technologies

Author:

Panfilov Peter,Suleykin Alexander

Publisher

Springer International Publishing

Reference20 articles.

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2. Wibowo, A.: Problems and available solutions on the stage of extract transform and loading in near real-time data warehousing (a literature study). In: 2015 International Seminar on Intelligent Technology and its Applications (ISITIA), pp. 345–350 (2015)

3. Sabtu, A., et al.: The challenges of extract, transform and loading (ETL) system implementation for near real-time environment. In: 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), Langkawi, 2017, pp. 1–5 (2017)

4. Kimball, R., Ross, M.: The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence. Wiley, New York (2010)

5. Bansal, S.K., Kagemann, S.: Integrating big data: a semantic extract-transform-load framework. Computer 48(3), 42–50 (2015)

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1. Sustainable Big Data Analytics Process Pipeline Using Apache Ecosystem;Encyclopedia of Data Science and Machine Learning;2022-10-14

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