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ACM SIGMOD Blog

wp.sigmod.org

ACM Chapter Site

DatabasesAI / MLAlgorithms / data structures

’15’20’25
Posts
82 from 10 Feb 2012 to 21 Sep 2026
Posting
now and then (1 in the last year)
Kind
community
Feed
https://wp.sigmod.org/?feed=rss2

2026 1

  1. Where Quantum Actually Meets the Database (and Where It Doesn’t)

2025 3

  1. To KG or not to KG, that is the question!
  2. Panel Summary: Where Does Academic Database Research Go From Here?
  3. Data Exploration and Visual Analytics Challenges in AI Era

2024 5

  1. Large Language Models, Knowledge Graphs, and Vector Databases: Synergy and Opportunities for Data Management (A Report on the LLM+KG@VLDB24 Workshop’s Panel Discussion)
  2. Where Does Database Research Go From Here?
  3. Auditing bias of recourse in classifiers (part II)
  4. Time Series Anomaly Detection
  5. Auditing bias of recourse in classifiers (part I)

2023 3

  1. The Case for Cardinality Bounds: Principled Conservatism in Query Optimization
  2. Utilizing the Synergy between Query Refinement and View Recommendation for Visual Data Exploration
  3. Why Uncertainty is Unavoidable and What We Can Do About That

2022 13

  1. Similarity Search for Scalable Data Science: The Past, Present and Exciting Road Ahead
  2. Returning Top-K : Preference Aggregation or Sortition, or is there a Better Middle Ground?
  3. Managing and Exploiting Massive Geolocation Data
  4. A Brief History of Data Series Indexing: from Time Series to High-Dimensional Vectors and Deep Neural Network Embeddings
  5. From Curbing Epidemics to Investing: We can Help!
  6. Data Management For The Metaverse
  7. Data-quality Driven Design of Databases
  8. A Leap from Model-Centric to Data Centric AI
  9. Robust Query Processing: A Case for Geometric Techniques
  10. Natural Language-Based Exploration with Databases in Chatbot
  11. ACM SIGMOD Jim Gray Doctoral Dissertation Award
  12. Data Science for Social Good: the STAR Mission
  13. ACM SIGMOD Blog is 10 years old

2021 4

  1. Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?
  2. SIGMOD EC on diversity and inclusion
  3. The End of Manual Checking Era: It’s Time for Automating Conflicts of Interest Management in Peer-Reviewed Venues
  4. Enabling Responsible Data Science in Practice

2020 6

  1. Humans’ Role in-the-Loop
  2. Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications – Part 2
  3. Simulating Infection Spread
  4. Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications – Part 1
  5. Scalable Data Science: A New Research Track Category at PVLDB Vol 14 / VLDB 2021
  6. The Diversity of Diversity & Inclusion

2019 2

  1. Imagine all the People and AI in the Future of Work
  2. The Rise of Natural Language Interfaces to Databases

2018 8

  1. Role of AI in Enterprise Applications
  2. Privacy Challenges in the Post-GDPR World: A Data Management Perspective
  3. ML/AI Systems and Applications: Is the SIGMOD/VLDB Community Losing Relevance?
  4. Visual Data Exploration: A Fertile Ground for Data Management Research
  5. Data cleaning is a machine learning problem that needs data systems help!
  6. On Data Exploration in the era of Big Data
  7. A Tribute to José Alfredo Blakeley
  8. Courting ML: Witnessing the Marriage of Relational & Web Data Systems to Machine Learning

2017 6

  1. Graph Pattern Matching Queries – Approximation and User-Friendliness
  2. Approximate Query Processing – Where do we go from here?
  3. Google Spanner: Beginning of the End of the NoSQL World?
  4. SIGMOD 2017 New Location
  5. The data chatbots are coming
  6. SIGMOD 2017 Announcement

2016 3

  1. Thinking Spatial
  2. Reflections of a Data Skeptic
  3. Wisdom: a “double V” for Big Data

2015 6

  1. Data, Responsibly
  2. A Decade at Google
  3. The Case for Polystores
  4. Data systems that are easy to design*
  5. Information Hunting: The Many Faces of Recommendations for Data Exploration
  6. The elephant in the room: getting value from Big Data

2014 7

  1. Graph data management
  2. Why your friends have more to be thankful for
  3. Big Data Is Opening the Door To Revolutions: Databases Should Be Next
  4. Quality Experiments Crowdsourced
  5. Exploratory search: New name for an old hat?
  6. Is Query Optimization a “Solved” Problem?
  7. Systems & Databases: Let’s Break Down the Walls

2013 7

  1. Are Databases ready for Gestural Workloads?
  2. The Curses of Heterogeneity in Big Data
  3. Observation: CSers do not value themselves, nor the results of their work?
  4. Hunting for the Value Gaps in Data Management, Services, and Analytics
  5. Ontology-based Data Management
  6. Stop publishing so much already!
  7. Where’s the Data in the Big Data Wave?

2012 8

  1. Fifty Years of Databases
  2. Entrepreneurship in Data Management Research
  3. A Few More Words on Big Data
  4. Computer science publication culture: where to go from here?
  5. Big Data: It’s Not Just the Analytics
  6. MADlib: An Open-Source Library for Scalable Analytics
  7. From 100 Students to 100,000
  8. The ACM SIGMOD Blog