| 794 |
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) |
2010 |
VLDB |
0.00016605103 |
| 1,922 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
0.00010082599 |
| 2,083 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
9.5834572e-05 |
| 2,230 |
Performance and Resource Modeling in Highly-Concurrent OLTP Workloads |
2013 |
SIGMOD |
9.2322426e-05 |
| 2,419 |
Towards a One Size Fits All Database Architecture |
2011 |
CIDR |
8.853712e-05 |
| 2,709 |
Vertexica: Your Relational Friend for Graph Analytics! |
2014 |
VLDB |
8.2530203e-05 |
| 2,946 |
BigDansing: A System for Big Data Cleansing |
2015 |
SIGMOD |
7.8372441e-05 |
| 2,954 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
7.8262582e-05 |
| 2,987 |
The Uncracked Pieces in Database Cracking |
2014 |
VLDB |
7.7787088e-05 |
| 3,625 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
6.9055212e-05 |
| 3,875 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
6.675257e-05 |
| 4,174 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
6.3856219e-05 |
| 4,690 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.997226e-05 |
| 5,105 |
Only Aggressive Elephants are Fast Elephants |
2012 |
VLDB |
5.694494e-05 |
| 5,118 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
5.6820984e-05 |
| 6,040 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
5.2412035e-05 |
| 6,209 |
AutoExecutor: Predictive Parallelism for Spark SQL Queries |
2021 |
VLDB |
5.1565972e-05 |
| 6,261 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.1350714e-05 |
| 7,047 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8521181e-05 |
| 7,114 |
A Comparison of Knives for Bread Slicing |
2013 |
VLDB |
4.827351e-05 |
| 7,655 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
4.6872456e-05 |
| 7,684 |
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft |
2020 |
VLDB |
4.6796855e-05 |
| 7,958 |
CARTILAGE: Adding Flexibility to the Hadoop Skeleton |
2013 |
SIGMOD |
4.613363e-05 |
| 8,131 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.5784634e-05 |
| 8,197 |
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft |
2021 |
VLDB |
4.5607121e-05 |
| 8,220 |
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! |
2021 |
VLDB |
4.5557328e-05 |
| 8,366 |
WWHow! Freeing Data Storage from Cages |
2013 |
CIDR |
4.5357016e-05 |
| 8,783 |
GEqO: ML-Accelerated Semantic Equivalence Detection |
2023 |
SIGMOD |
4.452825e-05 |
| 8,859 |
Pipemizer: An Optimizer for Analytics Data Pipelines |
2022 |
VLDB |
4.4344107e-05 |
| 9,074 |
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning |
2023 |
SIGMOD |
4.402065e-05 |
| 9,194 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
4.3761777e-05 |
| 9,735 |
SparkCruise: Handsfree Computation Reuse in Spark |
2019 |
VLDB |
4.2942813e-05 |
| 9,801 |
Amoeba: A Shape changing Storage System for Big Data |
2016 |
VLDB |
4.2815507e-05 |
| 12,030 |
How Achaeans Would Construct Columns in Troy |
2013 |
CIDR |
4.1945683e-05 |
| 13,146 |
Turning Databases Into Generative AI Machines |
2024 |
CIDR |
- |
| 13,196 |
PikePlace: Generating Intelligence for Marketplace Datasets |
2023 |
VLDB |
- |
| 13,359 |
Robust Data Transformations |
2015 |
CIDR |
- |