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Ganapathy Krishnamoorthy

dblp:82/4609 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

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
1 paper
Data integration and cleaning · 67% Data models and query languages · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › interoperability
heterogeneous data access
0.011999
Heterogeneous Query Processing through SQL Table Functions · ICDE 1999
Data integration and cleaning
heterogeneous query processing
0.011999
Heterogeneous Query Processing through SQL Table Functions · ICDE 1999
Data models and query languages › SQL
table function
0.011999
Heterogeneous Query Processing through SQL Table Functions · ICDE 1999
YearPublicationVenuePosition
1999 Heterogeneous Query Processing through SQL Table Functions
abstract
In today's IT infrastructures, data is stored in SQL databases, non-SQL, databases, and host databases like ISAM/VSAM files. Non-SQL databases are specialized data stores controlled by applications like spreadsheets, mail, directory and index services. Developing applications accessing a variety of different data sources is challenging for application developers due to different environments, APIs, bindings, etc. 20 years ago, SQL was created to ease the life of database application developers and provide a uniform way for accessing data which is stored in SQL databases. The paper describes an implementation of table functions and its usage for accessing data stored outside SQL databases in diverse external data stores. Table functions are compliant with the relational data model, and therefore fit into the well established SQL language. The table-function architecture is open, and allows the deployment of generic data access infrastructures such as Microsoft's OLE DB or Java's JDBC (G. Hamilton et al., 1997). The paper describes a prototype implementation of OLE DB table functions with advanced query optimization techniques. The prototype is based on IBM DB2 UDB relational database system.
Berthold Reinwald, Hamid Pirahesh, Ganapathy Krishnamoorthy, George Lapis, Brian T. Tran, Swati Vora
ICDE3