| 6,248 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
6.0022621e-05 |
| 6,289 |
Scalable Querying of Nested Data |
2021 |
VLDB |
5.9881025e-05 |
| 6,296 |
MIFO: A Query-Semantic Aware Resource Allocation Policy |
2019 |
SIGMOD |
5.984487e-05 |
| 6,316 |
Shared Foundations: Modernizing Meta's Data Lakehouse |
2023 |
CIDR |
5.9759793e-05 |
| 6,403 |
AStream: Ad-hoc Shared Stream Processing |
2019 |
SIGMOD |
5.952729e-05 |
| 6,429 |
DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs |
2019 |
SIGMOD |
5.9439698e-05 |
| 6,512 |
Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine |
2025 |
SIGMOD |
5.91183e-05 |
| 6,688 |
SquirrelJoin: Network-Aware Distributed Join Processing with Lazy Partitioning |
2017 |
VLDB |
5.8604776e-05 |
| 6,702 |
Unit Testing Data with Deequ |
2019 |
SIGMOD |
5.856543e-05 |
| 6,715 |
JetScope: Reliable and Interactive Analytics at Cloud Scale |
2015 |
VLDB |
5.8520075e-05 |
| 6,726 |
Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code |
2024 |
VLDB |
5.8476884e-05 |
| 6,756 |
ConnectorX: Accelerating Data Loading From Databases to Dataframes |
2022 |
VLDB |
5.8399894e-05 |
| 6,785 |
SparkR: Scaling R Programs with Spark |
2016 |
SIGMOD |
5.8328772e-05 |
| 6,821 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
5.8216165e-05 |
| 7,025 |
Selection Pushdown in Column Stores using Bit Manipulation Instructions |
2023 |
SIGMOD |
5.77988e-05 |
| 7,037 |
Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale |
2018 |
VLDB |
5.7720294e-05 |
| 7,045 |
Interactive Demonstration of Probabilistic Predicates |
2018 |
SIGMOD |
5.7696025e-05 |
| 7,054 |
CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning |
2017 |
VLDB |
5.7683138e-05 |
| 7,120 |
Kodiak: Leveraging Materialized Views For Very Low-Latency Analytics Over High-Dimensional Web-Scale Data |
2016 |
VLDB |
5.7519336e-05 |
| 7,241 |
SmartBench: A Benchmark For Data Management In Smart Spaces |
2020 |
VLDB |
5.7186261e-05 |
| 7,416 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.6873825e-05 |
| 7,559 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
5.6533871e-05 |
| 7,583 |
Quill: Efficient, Transferable, and Rich Analytics at Scale |
2016 |
VLDB |
5.6487011e-05 |
| 7,600 |
Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded |
2017 |
VLDB |
5.6441526e-05 |
| 7,646 |
S2RDF: RDF Querying with SPARQL on Spark |
2016 |
VLDB |
5.6320114e-05 |
| 7,650 |
Petabyte-Scale Row-Level Operations in Data Lakehouses |
2024 |
VLDB |
5.6316205e-05 |
| 7,669 |
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data |
2017 |
VLDB |
5.6279273e-05 |
| 7,729 |
AJoin: Ad-hoc Stream Joins at Scale |
2020 |
VLDB |
5.6161884e-05 |
| 7,763 |
Architecting a Query Compiler for Spatial Workloads |
2020 |
SIGMOD |
5.6079812e-05 |
| 7,879 |
Pangea: Monolithic Distributed Storage for Data Analytics |
2019 |
VLDB |
5.5941095e-05 |
| 7,959 |
Simple & Optimal Quantile Sketch: Combining Greenwald-Khanna with Khanna-Greenwald |
2024 |
PODS |
5.5727796e-05 |
| 8,019 |
You Say 'What', I Hear 'Where' and 'Why' - (Mis-)Interpreting SQL to Derive Fine-Grained Provenance |
2018 |
VLDB |
5.5637512e-05 |
| 8,046 |
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft |
2021 |
VLDB |
5.5585663e-05 |
| 8,137 |
Shasta: Interactive Reporting At Scale |
2016 |
SIGMOD |
5.5419908e-05 |
| 8,179 |
Optimizing Declarative Graph Queries at Large Scale |
2019 |
SIGMOD |
5.5389901e-05 |
| 8,209 |
Flare & Lantern: Efficiently Swapping Horses Midstream |
2019 |
VLDB |
5.5345733e-05 |
| 8,245 |
Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA |
2023 |
VLDB |
5.5249762e-05 |
| 8,323 |
New Query Optimization Techniques in the Spark Engine of Azure Synapse |
2022 |
VLDB |
5.5075269e-05 |
| 8,347 |
Predicate Pushdown for Data Science Pipelines |
2023 |
SIGMOD |
5.5033928e-05 |
| 8,460 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
5.4902979e-05 |
| 8,472 |
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning |
2024 |
VLDB |
5.4888877e-05 |
| 8,584 |
Accelerate Distributed Joins with Predicate Transfer |
2025 |
SIGMOD |
5.467762e-05 |
| 8,607 |
Handling Environments in a Nested Relational Algebra with Combinators and an Implementation in a Verified Query Compiler |
2017 |
SIGMOD |
5.4600294e-05 |
| 8,623 |
Translation of Array-Based Loops to Distributed Data-Parallel Programs |
2020 |
VLDB |
5.4598872e-05 |
| 8,797 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
5.4311509e-05 |
| 8,865 |
The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – |
2021 |
SIGMOD |
5.4200866e-05 |
| 8,899 |
HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries |
2021 |
SIGMOD |
5.4123498e-05 |
| 8,987 |
Making Data Engineering Declarative |
2023 |
CIDR |
5.4018012e-05 |
| 8,994 |
Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads |
2025 |
SIGMOD |
5.4013095e-05 |
| 9,031 |
Dynamic Speculative Optimizations for SQL Compilation in Apache Spark |
2020 |
VLDB |
5.3924717e-05 |