Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Luciano Resende

dblp:16/4507 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author

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 · 100%
Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning
heterogeneous data source integration
0.112007
Handling heterogeneous data sources in a SOA environment with service data objects (SDO) · SIGMOD Conference 2007

Methods — techniques the papers use, named apart from their topics

service data objects specification · 0.1programming model unification · 0.1
YearPublicationVenuePosition
2007 Handling heterogeneous data sources in a SOA environment with service data objects (SDO)
abstract
Service Oriented Architecture (SOA) is gaining momentum in the development community based on its model for creating richer, reusable solutions at lower cost that can adjust to the agile business environments. The solutions built on this principle are composed of services that offer business functionality as a unit or as a whole. These services will access data from different data source types and potentially need to aggregate data from different data source types with different data formats. In this type of environment, handling of different forms of data poses a big challenge for application developers, and the challenge increases in size when you consider the broad diversity of programming models in use. Service Data Objects (SDO) is a specification for a programming model that unifies data programming across data source types and provides robust support for common application patterns in a disconnected way. Although Service Data Objects offer many other capabilities that are very useful for supporting integration with tools and other frameworks, this paper will focus on describing SDOs and how it can be used to handle heterogeneous data sources in SOA environments.
Luciano Resende
SIGMOD Conference1