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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