Counting types for massive JSON datasets-Reference-Cited by-同舟云学术

Counting types for massive JSON datasets

Published:2017-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The 16th International Symposium on Database Programming Languages
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Author:

Baazizi Mohamed-Amine¹,Colazzo Dario²,Ghelli Giorgio³,Sartiani Carlo⁴

Affiliation:

1. Sorbonne Universités and UPMC Univ Paris, Jussieu Paris

2. Université Paris-Dauphine and PSL Research University, PARIS, FRANCE

3. Università di Pisa, Pisa

4. Università della Basilicata, Potenza

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3122831.3122837

Reference10 articles.

1. Michael DiScala and Daniel J. Abadi. 2016. Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data (SIGMOD '16). 295--310. 10.1145/2882903.2882924 Michael DiScala and Daniel J. Abadi. 2016. Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data (SIGMOD '16) . 295--310. 10.1145/2882903.2882924

2. Meike Klettke Uta Störl and Stefanie Scherzinger. 2015. Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores. In Datenbanksysteme für Business Technologie und Web (BTW) 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) 4.-6.3.2015 in Hamburg Germany. Proceedings. Meike Klettke Uta Störl and Stefanie Scherzinger. 2015. Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores. In Datenbanksysteme für Business Technologie und Web (BTW) 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) 4.-6.3.2015 in Hamburg Germany. Proceedings .

3. 3T Software Labs. 2017. Studio 3T. (2017). Available at https://studio3t.com. 3T Software Labs. 2017. Studio 3T. (2017). Available at https://studio3t.com.

4. JSON data management

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