The research
Conference proceedings
Every accepted paper goes through double-blind peer review. Browse the archive spanning every edition since 2017.
2025
20 papersDelta Lake Time Travel for Point-in-Time Analytics at Petabyte Scale
A. Okafor, J. Rivera
Self-Improving Training Pipelines with Active Data Selection
R. Mehta, V. Cruz
Adaptive Partitioning for Petabyte-Scale Lakehouses
A. Okafor, M. Bell, J. Rivera
Cost-Aware Scheduling for LLM Inference Clusters
R. Mehta, V. Cruz
Contextual Embedding Caching for Low-Latency RAG Inference
A. Patel, M. Bell
Schema-Aware Data Mesh Catalogs with Automated Lineage Discovery
N. Clarke, D. Chen
Windowing Strategies for Late-Arriving Data in High-Throughput Streams
L. Zhao, K. Nakamura
Retrieval-Augmented Generation Pipelines Over Proprietary Document Corpora
R. Mehta, X. Dubois
OpenTelemetry-Based Observability for Serverless Data Functions
O. Müller, W. Kim
Tiered Storage Compaction Strategies for Time-Series Databases
U. Johansson, M. Bell
Decentralized Data Mesh Governance with Federated Computational Policies
N. Gupta, Y. Patel
WASM-Based User-Defined Functions for Portable Stream Processing
I. Santos, Z. Thompson
k-Anonymity Guarantees in Real-Time Data Publication Pipelines
P. Adeyemi, D. Chen
Multi-Modal Embedding Pipelines for Unified Search Across Data Assets
V. Cruz, S. Volkov
Continuous Integration for Data: Testing Schema Changes in CI/CD
Q. Zhang, O. Müller
Just-in-Time Data Transformation with Query-Time Materialization
W. Kim, C. Williams
Stateful Serverless Functions with Durable Exactly-Once Guarantees
J. Rivera, B. Andersen
Graph-Based Dependency Resolution for Polyglot Data Pipelines
T. Han, F. Almeida
Predictive Cost Modeling for Multi-Cloud Data Platforms
B. Fisher, E. Larsen
Liquid Clustering for Adaptive Layout Optimization in Data Lakes
D. Chen, R. Mehta
2024
13 papersCross-Cloud Orchestration Patterns for Resilient Data Platforms
E. Larsen, D. Ramirez
Deterministic Replay in Exactly-Once Stream Processors
L. Zhao, K. Nakamura
A Survey of Multi-Cloud FinOps Governance Models
E. Larsen, P. Adeyemi
Golden Paths for Infrastructure Provisioning with Policy-as-Code
C. Mendez, I. Santos
Adaptive Checkpointing for Exactly-Once Stream Processing on Spot Instances
L. Zhao, B. Andersen
Self-Tuning Resource Governors for Multi-Tenant Query Services
Y. Patel, U. Johansson
Distributed Tracing with Causal Consistency in Event-Driven Microservices
K. Nakamura, F. Almeida
Vector Similarity Search Over Hybrid On-Disk and In-Memory Indexes
S. Volkov, D. Chen
Fine-Grained Access Control with Attribute-Based Encryption in Data Lakes
P. Adeyemi, W. Kim
ML-Driven Query Optimizer Hints Through Reinforcement Learning
C. Williams, H. Tanaka
Automated Data Quality Scoring for Streaming Ingestion Pipelines
T. Han, G. Park
Unified Batch and Stream Processing with Stateful DoFn Abstractions
L. Zhao, Q. Zhang
Declarative Feature Engineering Pipelines for Real-Time ML Serving
V. Cruz, B. Andersen
2023
8 papersVectorized Execution Beyond Columnar Storage
M. Bell, S. Volkov
Confidential Query Processing Over Encrypted Data Lakes
P. Adeyemi, M. Bell
Workload-Aware Partition Pruning with Learned Index Structures
D. Chen, U. Johansson
Canary Deployments for Data Pipeline DAGs in Production
B. Andersen, Q. Zhang
GPU-Accelerated Window Aggregations on High-Velocity Streams
F. Almeida, L. Zhao
Provenance-Based Audit Logging for Regulatory Compliance
H. Tanaka, X. Dubois
Infrastructure Drift Detection via Symbolic Execution of IaC Templates
I. Santos, W. Kim
Merge-on-Read versus Copy-on-Write: A Cost Model for Real-Time Ingestion
Z. Thompson, J. Rivera
2022
7 papersData Contracts: Formalizing the Producer–Consumer Boundary
A. Okafor, T. Han
Online/Offline Consistency in Real-Time Feature Stores
L. Zhao, V. Cruz, R. Mehta
Data Quality Scorecards: Quantifying Freshness and Completeness at Scale
W. Liu, J. O'Brien
Confidential Computing for Secure Multi-Party Data Sharing
P. Adeyemi, X. Dubois
Transactional Guarantees in Object-Store-Based Lakehouses
J. Rivera, Z. Thompson
Adaptive Materialized View Selection Under Evolving Workloads
C. Williams, Y. Patel
Federated Learning Orchestration Across Geographically Distributed Data Nodes
G. Park, N. Gupta
2021
5 papersFoundation Models as a Shared Infrastructure Layer
V. Cruz, A. Okafor
Differential Privacy Budget Allocation for Analytical Query Workloads
E. Larsen, P. Adeyemi
Hardware-Aware Query Compilation for Heterogeneous Cloud Instances
S. Volkov, I. Santos
Temporal Graph Models for Root-Cause Analysis in Microservice Architectures
R. Mehta, K. Nakamura
Graph-Native Architectures for Lineage-Aware Data Catalogs
D. Chen, T. Han
2020
4 papersProgrammable Warehouses: Applications on Cloud OLAP
M. Bell, E. Larsen
Consistent Hashing for Stateful Stream Operators Under Elastic Scaling
K. Nakamura, L. Zhao
Automated Schema Inference for Semi-Structured Data Lakes
N. Gupta, A. Okafor
Benchmarking Cloud-Native OLAP Engines on TPC-DS Derived Workloads
M. Bell, C. Williams
2019
3 papersSchema Evolution Strategies for Open Table Formats
A. Okafor, L. Zhao
Lightweight Data Lineage Tracking with Minimal Runtime Overhead
T. Han, B. Andersen
Cost-Based Optimization of Hybrid Cloud Query Execution
R. Mehta, I. Santos
2018
2 papersElastic Autoscaling for Bursty Analytical Workloads
E. Larsen, M. Bell
Columnar Compression Techniques for Cold Storage Tiering
C. Williams, S. Volkov
2017
1 paperFoundations of the Modern Cloud Data Warehouse
M. Bell, A. Okafor, V. Cruz