Posted by Arun Kumar
Arun Kumar
November 10, 2021
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?
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 interdisciplinary field of Data Science gains prominence, the massive pain of […]
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Arun Kumar
February 10, 2020
Scalable Data Science: A New Research Track Category at PVLDB Vol 14 / VLDB 2021
This post introduces and explains the newly created category of “Scalable Data Science” within the Research Track of PVLDB. This category comes into effect for volume 14, i.e., submissions starting April 1, 2020, which will be evaluated by the Review Board of PVLDB vol 14 for presentation at VLDB 2021. The Growth of Data Science […]
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Arun Kumar
August 21, 2018
ML/AI Systems and Applications: Is the SIGMOD/VLDB Community Losing Relevance?
Overview of DEEM 2018 The ACM SIGMOD Second Workshop on Data Management for End-to-End Machine Learning (DEEM) was successfully held last June in Houston, TX. The goal of DEEM is to bring together researchers and practitioners at the intersection of applied machine learning (ML) and data management/systems research to discuss data management/systems issues in ML […]
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