4 citations · 6 across the 5 of their papers we have counts for
5 papers
Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms
Yakov Kuzin, Dmitriy Shcheka, Michael Polyntsov +3
Science-intensive data profiling focuses on discovery and validation of various patterns in datasets. This study considers discovery of one such pattern - order dependency (OD). Si…
Speeding up SQL subqueries via decoupling of non-correlated predicate (extended version)
Dmitrii Radivonchik, Yakov Kuzin, Anton Chizhov +4
In this paper, we discuss a novel technique for processing correlated subqueries in SQL. The core idea is to isolate the non-correlated part of the predicate and use it to reduce t…
Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing
Mikhail Firsov, Michael Polyntsov, Kirill Smirnov +1
Recursive queries and recursive derived tables constitute an important part of the SQL standard. Their efficient processing is important for many real-life applications that rely o…
Solving Data Quality Problems with Desbordante: a Demo
George Chernishev, Michael Polyntsov, Anton Chizhov +23
Data profiling is an essential process in modern data-driven industries. One of its critical components is the discovery and validation of complex statistics, including functional…
Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)
George Chernishev, Michael Polyntsov, Anton Chizhov +20
Pioneering data profiling systems such as Metanome and OpenClean brought public attention to science-intensive data profiling. This type of profiling aims to extract complex patter…