by
Jayant Haritsa
on Mar 24, 2022 | Categories:
Query Processing
INTRODUCTION Over the last half-century, the design and implementation of declarative query processing techniques in relational database systems has been a foundational topic for both the academic and industrial database research communities. Despite this sustained study, the unfortunate reality is…
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by
Chris Tsapelas
on Feb 23, 2022 | Categories:
Databots
We expect virtually every database to be on Cloud shortly. All database vendors strive to survive in this competing market. In the era of cloud computing, databases will become easily accessible, and thus even non-technical users want to use such databases like their TVs. In this situation, we need…
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by
Vanessa Braganholo and Wolfgang Lehner
on Feb 10, 2022 | Categories:
Uncategorized
The annual ACM SIGMOD Doctoral Dissertation Award, inaugurated in 2006, recognizes excellent research by doctoral candidates in the database field. Jim Gray was a prolific database researcher who won the Turing Award in 1998 “for seminal contributions to database and transaction processing research…
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by
Reynold Cheng
on Jan 26, 2022 | Categories:
Data Science, Social Good
Data Science for Social Good, or DSSG, broadly refers to the use of data engineering and analysis solutions in the social work domain. I am interested in this field, because it gives me a chance to understand how database technologies can be used in a domain whose data-driven approaches are only in…
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by
Georgia Koutrika
on Jan 25, 2022 | Categories:
Uncategorized
This year, ACM SIGMOD Blog celebrates its tenth anniversary. During this decade, it has hosted over 60 prominent researchers and professionals from the industry and academia, with an ACM Turing Award recipient, three ACM Fellows, four winners of the ACM SIGMOD Innovations Award, and two recipients…
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by
Arun Kumar
on Nov 10, 2021 | Categories:
AutoML, Data Preparation, Machine Learning
For almost 30 years, the DB / data management community has intensively studied the vexing pains of data integration, cleaning, and transformation. This research has largely been in the contexts of RDBMSs, SQL-oriented business intelligence (BI), and knowledge base construction. But as the emerging…
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by
Georgia Koutrika
on Jul 2, 2021 | Categories:
Uncategorized
Dear SIGMOD members, We are committed to ensuring that all SIGMOD activities are carried out in an inclusive and diverse environment and we do not tolerate discrimination, harassment, or any other form of misconduct as defined in the ACM code of conduct. We appreciate ACM’s confirmation of these…
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by
Sourav Bhowmick
on May 24, 2021 | Categories:
Publication policy
Our professional societies (e.g., ACM, IEEE, VLDB Endowment) have worked hard to ensure that peer review processes in conferences and journals are fair and continue to fulfill their intended purposes. Our community has introduced refinements such as double blind reviews, automated matching of…
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by
Abolfazl Asudeh
on Jan 20, 2021 | Categories:
Fairness, Responsible Data Science
Introduction The 3rd decade of the 3rd millennium had a dramatic start, with a pandemic that impacted our lives all over the globe. This indicates extraordinary events and rapid changes, ranging from politics and climate change to our social life and work habits. Like it or not, we are getting used…
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by
Avigdor Gal Roee Shraga
on Dec 21, 2020 | Categories:
Data integration
The research of data integration spans over multiple decades, holds both theoretical and practical appeal, and enjoys a continued interest by researchers and practitioners. Efforts in the area include, among other things, process matching, schema matching, and entity resolution. Matching problems…
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