| 673 |
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) |
2010 |
VLDB |
0.0001488755 |
| 1,433 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010677711 |
| 1,745 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
9.7343818e-05 |
| 1,848 |
Towards a One Size Fits All Database Architecture |
2011 |
CIDR |
9.5082163e-05 |
| 1,939 |
Performance and Resource Modeling in Highly-Concurrent OLTP Workloads |
2013 |
SIGMOD |
9.3331247e-05 |
| 2,207 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
8.8487039e-05 |
| 2,355 |
Vertexica: Your Relational Friend for Graph Analytics! |
2014 |
VLDB |
8.5893186e-05 |
| 2,383 |
The Uncracked Pieces in Database Cracking |
2014 |
VLDB |
8.5435328e-05 |
| 2,423 |
BigDansing: A System for Big Data Cleansing |
2015 |
SIGMOD |
8.4877894e-05 |
| 2,834 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
7.9560627e-05 |
| 3,545 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
7.2134803e-05 |
| 3,683 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
7.1006425e-05 |
| 3,949 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9052796e-05 |
| 4,533 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
6.5565658e-05 |
| 5,110 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
6.269351e-05 |
| 5,274 |
Only Aggressive Elephants are Fast Elephants |
2012 |
VLDB |
6.2005706e-05 |
| 6,196 |
AutoExecutor: Predictive Parallelism for Spark SQL Queries |
2021 |
VLDB |
5.8533869e-05 |
| 6,245 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.837329e-05 |
| 6,901 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
5.6520335e-05 |
| 7,157 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
5.5972283e-05 |
| 7,199 |
A Comparison of Knives for Bread Slicing |
2013 |
VLDB |
5.5883682e-05 |
| 7,363 |
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! |
2021 |
VLDB |
5.5418564e-05 |
| 7,759 |
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft |
2020 |
VLDB |
5.4575614e-05 |
| 7,806 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
5.4500623e-05 |
| 8,346 |
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft |
2021 |
VLDB |
5.3510511e-05 |
| 8,442 |
CARTILAGE: Adding Flexibility to the Hadoop Skeleton |
2013 |
SIGMOD |
5.3350162e-05 |
| 8,513 |
WWHow! Freeing Data Storage from Cages |
2013 |
CIDR |
5.3253368e-05 |
| 8,962 |
GEqO: ML-Accelerated Semantic Equivalence Detection |
2023 |
SIGMOD |
5.2493925e-05 |
| 8,968 |
Pipemizer: An Optimizer for Analytics Data Pipelines |
2022 |
VLDB |
5.2471751e-05 |
| 9,161 |
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning |
2023 |
SIGMOD |
5.2154395e-05 |
| 9,358 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
5.1869771e-05 |
| 9,993 |
SparkCruise: Handsfree Computation Reuse in Spark |
2019 |
VLDB |
5.0988164e-05 |
| 10,124 |
Amoeba: A Shape changing Storage System for Big Data |
2016 |
VLDB |
5.0753201e-05 |
| 11,009 |
Tursio for Credit Unions: Structured Data Search with Automated Context Graphs |
2026 |
VLDB |
4.9793485e-05 |
| 12,518 |
How Achaeans Would Construct Columns in Troy |
2013 |
CIDR |
4.9793485e-05 |
| 13,668 |
Turning Databases Into Generative AI Machines |
2024 |
CIDR |
- |
| 13,713 |
PikePlace: Generating Intelligence for Marketplace Datasets |
2023 |
VLDB |
- |
| 13,873 |
Robust Data Transformations |
2015 |
CIDR |
- |