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Hybrid Transactional/Analytical Processing
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
The popularity of large-scale real-time analytics applications (real-time inventory/pricing, recommendations from mobile apps, fraud detection, risk analysis, IoT, etc.) keeps rising. These applications require distributed data management systems that can handle fast concurrent transactions (OLTP) and analytics on the recent data. Some of them even need running analytical queries (OLAP) as part of transactions. Efficient processing of individual transactional and analytical requests, however,
doi:10.1145/3035918.3054784
dblp:conf/sigmod/OzcanTT17
fatcat:pvhwsr327jaunfdnhwotywguuu