| 6 |
Pig Latin: A Not-So-Foreign Language for Data Processing |
2008 |
SIGMOD |
0.0010686205 |
| 9 |
Online Aggregation |
1997 |
SIGMOD |
0.00077458002 |
| 11 |
Implementing Data Cubes Efficiently |
1996 |
SIGMOD |
0.00071822821 |
| 24 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00054865648 |
| 30 |
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets |
2008 |
VLDB |
0.00051174276 |
| 32 |
Hive - A Warehousing Solution Over a Map-Reduce Framework |
2009 |
VLDB |
0.00050111008 |
| 36 |
Accurate Estimation Of The Number Of Tuples Satisfying A Condition |
1984 |
SIGMOD |
0.00048351457 |
| 51 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.0004291425 |
| 54 |
On Random Sampling over Joins |
1999 |
SIGMOD |
0.00040810225 |
| 87 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00035281619 |
| 131 |
Ripple Joins for Online Aggregation |
1999 |
SIGMOD |
0.00030424509 |
| 213 |
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets |
1999 |
SIGMOD |
0.00024723025 |
| 288 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
0.00022296371 |
| 307 |
Approximate Query Processing Using Wavelets |
2000 |
VLDB |
0.00021792475 |
| 327 |
The Aqua Approximate Query Answering System |
1999 |
SIGMOD |
0.00021091539 |
| 363 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.0002005475 |
| 508 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.00017275873 |
| 553 |
Congressional Samples for Approximate Answering of Group-By Queries |
2000 |
SIGMOD |
0.00016590619 |
| 593 |
Wander Join: Online Aggregation via Random Walks |
2016 |
SIGMOD |
0.00016027871 |
| 710 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014715033 |
| 737 |
Join Size Estimation Subject to Filter Conditions |
2015 |
VLDB |
0.00014490983 |
| 819 |
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters |
2016 |
SIGMOD |
0.00013815639 |
| 909 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00013291205 |
| 1,009 |
Online Aggregation for Large MapReduce Jobs |
2011 |
VLDB |
0.00012684342 |
| 1,064 |
Scalable Approximate Query Processing With The DBO Engine |
2007 |
SIGMOD |
0.00012336248 |
| 1,166 |
ICICLES: Self-tuning Samples for Approximate Query Answering |
2000 |
VLDB |
0.00011850439 |
| 1,227 |
Blink and It's Done: Interactive Queries on Very Large Data |
2012 |
VLDB |
0.00011582387 |
| 1,401 |
Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems |
2014 |
SIGMOD |
0.00010889902 |
| 1,582 |
SciBORQ: Scientific data management with Bounds On Runtime and Quality |
2011 |
CIDR |
0.00010295367 |
| 1,634 |
Rapid Sampling for Visualizations with Ordering Guarantees |
2015 |
VLDB |
0.00010163938 |
| 1,827 |
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data |
2015 |
SIGMOD |
9.6690206e-05 |
| 1,872 |
The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing |
2014 |
SIGMOD |
9.5759874e-05 |
| 1,962 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
9.3978414e-05 |
| 2,206 |
DAQ: A New Paradigm for Approximate Query Processing |
2015 |
VLDB |
8.957715e-05 |
| 2,271 |
Online Maintenance of Very Large Random Samples |
2004 |
SIGMOD |
8.8254873e-05 |
| 2,404 |
Cardinality Estimation Using Sample Views with Quality Assurance |
2007 |
SIGMOD |
8.6225576e-05 |
| 2,413 |
A Sampling Algebra for Aggregate Estimation |
2013 |
VLDB |
8.6116764e-05 |
| 2,608 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
8.347674e-05 |
| 3,241 |
Optimal and Approximate Computation of Summary Statistics for Range Aggregates |
2001 |
PODS |
7.6057671e-05 |
| 3,497 |
Interactive Analysis of Web-Scale Data |
2009 |
CIDR |
7.3634378e-05 |
| 4,393 |
Bounded Conjunctive Queries |
2014 |
VLDB |
6.7280426e-05 |
| 4,474 |
Querying Big Graphs within Bounded Resources |
2014 |
SIGMOD |
6.6803983e-05 |
| 5,222 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
6.3103741e-05 |
| 5,421 |
Fast and Near–Optimal Algorithms for Approximating Distributions by Histograms |
2015 |
PODS |
6.2245831e-05 |
| 5,676 |
Scalable Progressive Analytics on Big Data in the Cloud |
2013 |
VLDB |
6.1251441e-05 |
| 5,700 |
SnappyData: A Hybrid Transactional Analytical Store Built On Spark |
2016 |
SIGMOD |
6.1167342e-05 |
| 6,841 |
Querying Big Data by Accessing Small Data |
2015 |
PODS |
5.7574257e-05 |
| 7,484 |
On Scale Independence for Querying Big Data |
2014 |
PODS |
5.6074278e-05 |
| 8,701 |
Data Driven Approximation with Bounded Resources |
2017 |
VLDB |
5.3828806e-05 |
| 8,714 |
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views |
2015 |
VLDB |
5.3778009e-05 |