https://vldb.org/2024/
VLDB 2024 - 50th International Conference on Very Large Data Bases
The VLDB 2024 conference, will take place in Guangzhou, China - August 26-30, 2024, and will feature research talks, tutorials, demonstrations, and workshops....
international conferencevery largevldbdatabases
https://vldb.org/2027/
The VLDB 2027 conference, will take place in Athens, Greece, from Aug 23rd to Aug 27th, 2027, and...
https://www.cs.auckland.ac.nz/research/conferences/vldb_site/officers.html
VLDB '08
vldb
https://userapps.support.sap.com/sap/support/knowledge/en/3415716
3415716 - Severe latch contention on concurrent writetext in very large databases (VLDB) - SAP ASE...
Concurrent writetext operations cause latch sleeps for multiple processes This blocking can persist for a long time and when seen, may require killing of spids...
https://research.ibm.com/publications/main-memory-scan-sharing-for-multi-core-cpus
Main-memory scan sharing for multi-core CPUs for VLDB - IBM Research
Main-memory scan sharing for multi-core CPUs for VLDB by Lin Qiao et al.
multi coremainmemoryscansharing
https://cfaed.tu-dresden.de/orchestration/news_reader/orch-paper-accepted-at-vldb
Orchestration paper accepted at VLDB - cfaed
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources The hardware landscape is currently changing from homogeneous multi-core...
paper acceptedorchestrationvldbcfaed
https://dni.vldb.org/
Diversity and Inclusion @VLDB
diversity and inclusionvldb
https://research.ibm.com/publications/detecting-attribute-dependencies-from-query-feedback
Detecting attribute dependencies from query feedback for VLDB 2007 - IBM Research
Detecting attribute dependencies from query feedback for VLDB 2007 by Peter J. Haas et al.
detectingattributedependenciesquery
https://research.ibm.com/publications/ratio-threshold-queries-over-distributed-data-sources
Ratio threshold queries over distributed data sources for VLDB - IBM Research
Ratio threshold queries over distributed data sources for VLDB by Rajeev Gupta et al.
data sourcesratiothresholdqueriesdistributed
https://research.ibm.com/publications/optimizing-and-parallelizing-ranked-enumeration
Optimizing and parallelizing ranked enumeration for VLDB - IBM Research
Optimizing and parallelizing ranked enumeration for VLDB by Konstantin Golenberg et al.
optimizingrankedenumerationvldbibm
https://www.vldb.org/index.html
VLDB Endowment Inc.
vldbendowmentinc
https://research.ibm.com/publications/from-a-stream-of-relational-queries-to-distributed-stream-processing
From a stream of relational queries to distributed stream processing for VLDB - IBM Research
From a stream of relational queries to distributed stream processing for VLDB by Qiong Zou et al.
https://research.ibm.com/publications/low-communication-sort-algorithm-for-a-parallel-database-machine
Low communication sort algorithm for a parallel database machine for VLDB 1989 - IBM Research
Low communication sort algorithm for a parallel database machine for VLDB 1989 by R.A. Lorie et al.
https://sites.google.com/view/aidb2020/home
AIDB@VLDB 2020
Overview The AIDB workshop brings together researchers and practitioners from the database systems and the AI communities, with the goal of investigating new...
vldb
https://www.cs.auckland.ac.nz/research/conferences/vldb_site/tourism.html
VLDB '08
vldb
https://techcommunity.microsoft.com/blog/sqlserver/checkdb-part-6-consistency-checking-options-for-a-vldb/383171
CHECKDB (Part 6): Consistency checking options for a VLDB | Microsoft Community Hub
Mar 23, 2019 - First published on MSDN on Oct 19, 2006 (Yippee - just finished my certification dives and got my PADI Open Water certification - just in time for our dive...
checking options
https://research.ibm.com/publications/damia-a-data-mashup-fabric-for-intranet-applications
Damia - A data mashup fabric for intranet applications for VLDB 2007 - IBM Research
Damia - A data mashup fabric for intranet applications for VLDB 2007 by Mehmet Altinel et al.
a data
https://dream.cs.umass.edu/?p=696
Alexandra Meliou was recognized as SIGMOD 2018 distinguished PC member and VLDB 2018 distinguished...
https://dev.to/practiceoverflow/why-we-didnt-converge-clickhouses-vldb-paper-and-the-architecture-agents-actually-need-5h13
Why We Didn't Converge: ClickHouse's VLDB Paper and the Architecture Agents Actually Need - DEV...
The moment ClickHouse writes CPU code for your query You run SELECT category, COUNT(*)... Tagged with ai, programming, architecture, microservices.
https://research.ibm.com/publications/datarinse-semantic-transforms-for-data-preparation-based-on-code-mining
DataRinse: Semantic Transforms for Data preparation based on Code Mining for VLDB 2023 - IBM...
DataRinse: Semantic Transforms for Data preparation based on Code Mining for VLDB 2023 by Ibrahim Abdelaziz et al.
https://research.ibm.com/publications/qos-based-data-access-and-placement-for-federated-systems
QoS-based data access and placement for federated systems for VLDB 2005 - IBM Research
QoS-based data access and placement for federated systems for VLDB 2005 by Wen-Syan Li et al.
https://research.ibm.com/publications/diads-a-problem-diagnosis-tool-for-databases-and-storage-area-networks
DIADS: A problem diagnosis tool for databases and storage area networks for VLDB - IBM Research
DIADS: A problem diagnosis tool for databases and storage area networks for VLDB by Nedyalko Borisov et al.
https://sites.google.com/view/dsdm2022/home
DSDM @ VLDB 2022
News (August 24, 2022) Workshop program posted. The workshop will run in a hybrid format, with both in-person and remote participation. (August 20, 2022) The...
dsdmvldb
https://manpages.ubuntu.com/manpages/resolute/man1/vos_examine.1.html
Ubuntu Manpage: vos_examine - Shows volume header and VLDB entry information for a volume
Shows volume header and VLDB entry information for a volume
https://research.ibm.com/publications/popfed-progressive-query-optimization-for-federated-queries-in-db2
POP/FED: Progressive Query Optimization for Federated Queries in DB2 for VLDB 2006 - IBM Research
POP/FED: Progressive Query Optimization for Federated Queries in DB2 for VLDB 2006 by Holger Kache et al.
https://research.ibm.com/publications/xperanto-a-middleware-for-publishing-object-relational-data-as-xml-documents
XPERANTO: A middleware for publishing object-relational data as XML documents for VLDB 2000 - IBM...
XPERANTO: A middleware for publishing object-relational data as XML documents for VLDB 2000 by Michael Carey et al.
https://research.ibm.com/publications/how-do-categorical-duplicates-affect-ml-a-new-benchmark-and-empirical-analyses
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses for VLDB 2024 - IBM...
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses for VLDB 2024 by Vraj Shah et al.
https://www.cs.auckland.ac.nz/research/conferences/vldb_site/details.html
VLDB '08
vldb
https://www.vldb.org/
VLDB Endowment Inc.
vldbendowmentinc
https://mail.vldb.org/
VLDB Endowment Inc.
vldbendowmentinc
https://research.ibm.com/publications/compressed-linear-algebra-for-large-scale-machine-learning
Compressed linear algebra for large-scale machine learning for VLDB Journal - IBM Research
Compressed linear algebra for large-scale machine learning for VLDB Journal by Ahmed Elgohary et al.
linear algebralarge scale
https://research.ibm.com/publications/clustering-categorical-data-an-approach-based-on-dynamical-systems
Clustering categorical data: An approach based on dynamical systems for VLDB Journal - IBM Research
Clustering categorical data: An approach based on dynamical systems for VLDB Journal by David Gibson et al.
https://publica.fraunhofer.de/entities/mainwork/454b1754-d824-48de-b5de-73d213779163
Secure data management. 7th VLDB Workshop, SDM 2010
secure data managementvldbworkshopsdm
https://sites.google.com/view/poly22
VLDB Workshop: Poly'22
vldbworkshoppoly
https://www.cs.auckland.ac.nz/research/conferences/vldb_site/welcome.html
VLDB '08
vldb
https://research.ibm.com/publications/in-order-sliding-window-aggregation-in-worst-case-constant-time
In-order sliding-window aggregation in worst-case constant time for VLDB Journal - IBM Research
In-order sliding-window aggregation in worst-case constant time for VLDB Journal by Kanat Tangwongsan et al.
https://research.ibm.com/publications/improving-reproducibility-of-data-science-pipelines-through-transparent-provenance-capture
Improving reproducibility of data science pipelines through transparent provenance capture for VLDB...
Improving reproducibility of data science pipelines through transparent provenance capture for VLDB 2020 by Lukas Rupprecht et al.
data science
https://sites.google.com/view/sdmvldb2023
SDM @ VLDB 2023
News (June 26, 2023) The tentative program is published. (May 2, 2023) The symposium website is up!
sdmvldb
https://research.ibm.com/publications/synergistic-graph-and-sql-analytics-inside-ibm-db2
Synergistic graph and SQL analytics inside IBM Db2 for VLDB 2017 - IBM Research
Synergistic graph and SQL analytics inside IBM Db2 for VLDB 2017 by Yuanyuan Tian et al.
https://research.ibm.com/publications/a-data-adaptive-and-dynamic-segmentation-index-for-whole-matching-on-time-series
A data-adaptive and dynamic segmentation index for whole matching on time series for VLDB - IBM...
A data-adaptive and dynamic segmentation index for whole matching on time series for VLDB by Yang Wang et al.
https://research.ibm.com/publications/exploiting-evidence-from-unstructured-data-to-enhance-master-data-management
Exploiting evidence from unstructured data to enhance master data management for VLDB - IBM Research
Exploiting evidence from unstructured data to enhance master data management for VLDB by Karin Murthy et al.
https://research.ibm.com/publications/serving-deep-learning-models-with-deduplication-from-relational-databases--1
Serving Deep Learning Models with Deduplication from Relational Databases for VLDB - IBM Research
Serving Deep Learning Models with Deduplication from Relational Databases for VLDB by Lixi Zhou et al.
deep learning models
https://www.cs.cit.tum.de/en/daml/all-news/article/paper-accepted-at-vldb-2017-1/
Paper accepted at VLDB 2017 - Data Analytics and Machine Learning
paper accepteddata analyticsvldbmachinelearning