EDBT 2026 Demo / reviewers in the wild / expert
Istvan Cseri
dblp:24/2236
· DBLP profile ↗
5ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0004-6134-9537ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 5 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
5 papers |
Query processing and optimization · 81% Data models and query languages · 9% Data mining · 3% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 67% Cloud and datacenter computing · 33% |
Topics — the 11 heaviest of 12, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
incremental computation |
0.7 | 1 | 2023 | What's the Difference? Incremental Processing with Change Queries in Snowflake · Proc. ACM Manag. Data 2023 |
Query processing and optimization › view maintenance
incremental view maintenance |
0.7 | 1 | 2023 | What's the Difference? Incremental Processing with Change Queries in Snowflake · Proc. ACM Manag. Data 2023 |
Cloud and datacenter computing
database-as-a-service |
0.1 | 1 | 2011 | Adapting microsoft SQL server for cloud computing · ICDE 2011 |
Distributed systems › replication
primary-backup replication |
0.1 | 1 | 2011 | Adapting microsoft SQL server for cloud computing · ICDE 2011 |
Distributed systems
replication |
0.1 | 1 | 2011 | Adapting microsoft SQL server for cloud computing · ICDE 2011 |
Data models and query languages › XML query languages
XQuery |
0.1 | 1 | 2005 | XQuery Implementation in a Relational Database System · VLDB 2005 |
Data mining › predictive modeling › classification › structured classification
hierarchical labeling |
0.0 | 1 | 2004 | ORDPATHs: Insert-Friendly XML Node Labels · SIGMOD Conference 2004 |
Data models and query languages
XML data management |
0.0 | 1 | 2004 | ORDPATHs: Insert-Friendly XML Node Labels · SIGMOD Conference 2004 |
Indexing and storage engines
XML indexing |
0.0 | 1 | 2004 | Indexing XML Data Stored in a Relational Database · VLDB 2004 |
Data models and query languages › XML data management
XML labeling scheme |
0.0 | 1 | 2004 | ORDPATHs: Insert-Friendly XML Node Labels · SIGMOD Conference 2004 |
Database system architecture and tuning
relational database system |
0.0 | 2 | 2005 | XQuery Implementation in a Relational Database System · VLDB 2005 Indexing XML Data Stored in a Relational Database · VLDB 2004 |
Methods — techniques the papers use, named apart from their topics
stream objects · 0.7DML · 0.7shared-nothing partitioning · 0.2ORDPATH labeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | What's the Difference? Incremental Processing with Change Queries in SnowflakeabstractIncremental algorithms are the heart and soul of stream processing. Low latency results depend on the ability to react to the subset of changes in a dataset over time rather than reprocessing the entirety of a dataset as it evolves. But while the SQL language is well suited for representing streams of changes (via tables) and their application to tables over time (via DML), it entirely lacks a method to query the changes to a table or view in the first place. In this paper, we present CHANGES queries and STREAM objects, Snowflake's primitives for querying and consuming incremental changes to table objects over time. CHANGES queries and STREAMs have been in use within Snowflake for three years, and see broad adoption across our customers. We describe the semantics of these primitives, discuss the implementation challenges, present an analysis of their usage at Snowflake, and contrast with other offerings. Tyler Akidau, Paul Barbier, Istvan Cseri, Fabian Hueske, Tyler Jones, Sasha Lionheart, Daniel Mills, Dzmitry Pauliukevich, Lukas Probst, Niklas Semmler, Dan Sotolongo, Boyuan Zhang 0004 |
Proc. ACM Manag. Data | 3 |
| 2011 | Adapting microsoft SQL server for cloud computingabstractCloud SQL Server is a relational database system designed to scale-out to cloud computing workloads. It uses Microsoft SQL Server as its core. To scale out, it uses a partitioned database on a shared-nothing system architecture. Transactions are constrained to execute on one partition, to avoid the need for two-phase commit. The database is replicated for high availability using a custom primary-copy replication scheme. It currently serves as the storage engine for Microsoft's Exchange Hosted Archive and SQL Azure. Philip A. Bernstein, Istvan Cseri, Nishant Dani, Nigel Ellis, Ajay Kalhan, Gopal Kakivaya, David B. Lomet, Ramesh Manne, Lev Novik, Tomas Talius |
ICDE | 2 |
| 2005 | XQuery Implementation in a Relational Database System
Shankar Pal, Istvan Cseri, Oliver Seeliger, Michael Rys, Gideon Schaller, Dragan Tomic, Adrian Baras, Brandon Berg, Denis Churin, Eugene Kogan |
VLDB | 2 |
| 2004 | ORDPATHs: Insert-Friendly XML Node LabelsabstractWe introduce a hierarchical labeling scheme called ORDPATH that is implemented in the upcoming version of Microsoft® SQL Server™. ORDPATH labels nodes of an XML tree without requiring a schema (the most general case---a schema simplifies the problem). An example of an ORDPATH value display format is "1.5.3.9.1". A compressed binary representation of ORDPATH provides document order by simple byte-by-byte comparison and ancestry relationship equally simply. In addition, the ORDPATH scheme supports insertion of new nodes at arbitrary positions in the XML tree, their ORDPATH values "careted in" between ORDPATHs of sibling nodes, without relabeling any old nodes. Patrick E. O'Neil, Elizabeth J. O'Neil, Shankar Pal, Istvan Cseri, Gideon Schaller, Nigel Westbury |
SIGMOD Conference | 4 |
| 2004 | Indexing XML Data Stored in a Relational Database
Shankar Pal, Istvan Cseri, Gideon Schaller, Oliver Seeliger, Leo Giakoumakis, Vasili Vasili Zolotov |
VLDB | 2 |