JSON Tiles: Fast Analytics on Semi-Structured Data

Author:

Durner Dominik1,Leis Viktor2,Neumann Thomas1

Affiliation:

1. Technische Universität München, München, Germany

2. Friedrich-Schiller-Universität Jena, Jena, Germany

Funder

European Research Council

Publisher

ACM

Reference64 articles.

1. Rakesh Agrawal and Ramakrishnan Srikant. 1994. Fast Algorithms for Mining Association Rules in Large Databases. In VLDB. 487--499. Rakesh Agrawal and Ramakrishnan Srikant. 1994. Fast Algorithms for Mining Association Rules in Large Databases. In VLDB. 487--499.

2. Ioannis Alagiannis Renata Borovica Miguel Branco Stratos Idreos and Anastasia Ailamaki. 2012. NoDB: efficient query execution on raw data files. In SIGMOD. 241--252. Ioannis Alagiannis Renata Borovica Miguel Branco Stratos Idreos and Anastasia Ailamaki. 2012. NoDB: efficient query execution on raw data files. In SIGMOD. 241--252.

3. An LSM-based tuple compaction framework for Apache AsterixDB

4. Amazon Web Services. 2020. Amazon DocumentDB . https://aws.amazon.com/documentdb . accessed: 2020-01-03. Amazon Web Services. 2020. Amazon DocumentDB . https://aws.amazon.com/documentdb . accessed: 2020-01-03.

5. Apache Software Foundation. 2020 a. Apache Avro. https://avro.apache.org/. accessed: 2020-01-04. Apache Software Foundation. 2020 a. Apache Avro. https://avro.apache.org/. accessed: 2020-01-04.

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