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SIGMOD 2023 Tutorial: Demystifying Artificial Intelligence for Data Preparation Demo presentation by Zichen Zhu and Subhadeep Sarkar on "Acheron: Persisting Tombstones LSM Engines" at Today's businesses require modern systems with the capabilities to make real-time decisions on transactional Title: Dissecting, Designing, and Optimizing LSM-based Log-structured merge (LSM) trees have emerged as one of the most commonly used disk-based This video is the presentation of the full research paper AStream: Ad-hoc Shared Stream

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Hamming Tree: Energy-Efficient Data Indexing | SIGMOD 2023
Acheron: Persisting Tombstones LSM Engines (SIGMOD 2023)
Beyond Analytics: the Evolution of Stream Processing Systems (SIGMOD'20 Tutorial) - PART 3
Lethe: A Tunable Delete-Aware LSM Engine (SIGMOD 2020)
[Trailer]Scalable and Reliable Transactional Replication from Legacy to Modern HTAP Databases
Dissecting, Designing, and Optimizing LSM-based Data Stores (Tutorial at SIGMOD 2022)
SIGMOD 2022: Dissecting, Designing, and Optimizing LSM-based Data Stores (Tutorial)
Cheetah: Accelerating Database Queries with Switch Pruning (ACM SIGMOD 2020)
SIGMOD 2019 DBEst: revisiting approximate query processing engines with machine learning models
Data Processing Workflow | SHARE PointClouds Studio Tutorial
dexplorer demo sigmod 2020
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects - C Lutz @ SIGMOD 2020

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Last Updated: June 19, 2026

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Famous Beyond Analytics: the Evolution of Stream Processing Systems (SIGMOD'20 Tutorial) - PART I Net Worth
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Media Gallery

SIGMOD’23 Tutorial: Data Processing on FPGAs with Modern Architectures (Tutorial Overview)
SIGMOD 2023 Tutorial: Demystifying Artificial Intelligence for Data Preparation
Beyond Analytics: the Evolution of Stream Processing Systems (SIGMOD'20 Tutorial) - PART I
Hamming Tree: Energy-Efficient Data Indexing | SIGMOD 2023
Acheron: Persisting Tombstones LSM Engines (SIGMOD 2023)
Beyond Analytics: the Evolution of Stream Processing Systems (SIGMOD'20 Tutorial) - PART 3
Lethe: A Tunable Delete-Aware LSM Engine (SIGMOD 2020)
[Trailer]Scalable and Reliable Transactional Replication from Legacy to Modern HTAP Databases