33 citations · 98 across the 13 of their papers we have counts for
13 papers · 1 filter
Adaptive Recursive Query Optimization
Anna Herlihy, Guillaume Martres, Anastasia Ailamaki +1
Performance-critical industrial applications, including large-scale program, network, and distributed system analyses, are increasingly reliant on recursive queries for data analys…
Real-Time Analytics by Coordinating Reuse and Work Sharing
Panagiotis Sioulas, Ioannis Mytilinis, Anastasia Ailamaki
Analytical tools often require real-time responses for highly concurrent parameterized workloads. A common solution is to answer queries using materialized subexpressions, hence re…
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics
Viktor Sanca, Anastasia Ailamaki
As modern data pipelines continue to collect, produce, and store a variety of data formats, extracting and combining value from traditional and context-rich sources such as strings…
Efficient Massively Parallel Join Optimization for Large Queries
Riccardo Mancini, Srinivas Karthik, Bikash Chandra +2
Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is crucial for being able to run these queries with…
Adaptive HTAP through Elastic Resource Scheduling
Aunn Raza, Periklis Chrysogelos, Angelos Christos Anadiotis +1
Modern Hybrid Transactional/Analytical Processing (HTAP) systems use an integrated data processing engine that performs analytics on fresh data, which are ingested from a transacti…
Cleaning Denial Constraint Violations through Relaxation
Stella Giannakopoulou, Manos Karpathiotakis, Anastasia Ailamaki
Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes plac…