| 789 |
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) |
2010 |
VLDB |
0.00016602215 |
| 1,921 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
0.00010085899 |
| 2,080 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
9.5954034e-05 |
| 2,239 |
Performance and Resource Modeling in Highly-Concurrent OLTP Workloads |
2013 |
SIGMOD |
9.2163469e-05 |
| 2,414 |
Towards a One Size Fits All Database Architecture |
2011 |
CIDR |
8.8572378e-05 |
| 2,711 |
Vertexica: Your Relational Friend for Graph Analytics! |
2014 |
VLDB |
8.2548656e-05 |
| 2,955 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
7.8188583e-05 |
| 2,979 |
The Uncracked Pieces in Database Cracking |
2014 |
VLDB |
7.7833926e-05 |
| 3,000 |
BigDansing: A System for Big Data Cleansing |
2015 |
SIGMOD |
7.7447724e-05 |
| 3,623 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
6.9017341e-05 |
| 3,866 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
6.6795497e-05 |
| 4,171 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
6.3800823e-05 |
| 4,687 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.9915268e-05 |
| 5,110 |
Only Aggressive Elephants are Fast Elephants |
2012 |
VLDB |
5.6868273e-05 |
| 5,116 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
5.6805476e-05 |
| 5,876 |
AutoExecutor: Predictive Parallelism for Spark SQL Queries |
2021 |
VLDB |
5.2886967e-05 |
| 5,994 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
5.2367998e-05 |
| 6,278 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.1241654e-05 |
| 7,044 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8475963e-05 |
| 7,111 |
A Comparison of Knives for Bread Slicing |
2013 |
VLDB |
4.8228024e-05 |
| 7,652 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
4.6831938e-05 |
| 7,685 |
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft |
2020 |
VLDB |
4.6753414e-05 |
| 7,809 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.6415559e-05 |
| 7,961 |
CARTILAGE: Adding Flexibility to the Hadoop Skeleton |
2013 |
SIGMOD |
4.6089395e-05 |
| 8,196 |
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft |
2021 |
VLDB |
4.5568952e-05 |
| 8,219 |
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! |
2021 |
VLDB |
4.551524e-05 |
| 8,362 |
WWHow! Freeing Data Storage from Cages |
2013 |
CIDR |
4.531362e-05 |
| 8,780 |
GEqO: ML-Accelerated Semantic Equivalence Detection |
2023 |
SIGMOD |
4.4485568e-05 |
| 8,859 |
Pipemizer: An Optimizer for Analytics Data Pipelines |
2022 |
VLDB |
4.4301601e-05 |
| 9,032 |
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning |
2023 |
SIGMOD |
4.3998185e-05 |
| 9,138 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
4.3842765e-05 |
| 9,734 |
SparkCruise: Handsfree Computation Reuse in Spark |
2019 |
VLDB |
4.2901665e-05 |
| 9,804 |
Amoeba: A Shape changing Storage System for Big Data |
2016 |
VLDB |
4.2774538e-05 |
| 12,038 |
How Achaeans Would Construct Columns in Troy |
2013 |
CIDR |
4.1905499e-05 |
| 13,160 |
Turning Databases Into Generative AI Machines |
2024 |
CIDR |
- |
| 13,210 |
PikePlace: Generating Intelligence for Marketplace Datasets |
2023 |
VLDB |
- |
| 13,372 |
Robust Data Transformations |
2015 |
CIDR |
- |