Excited to share our insights and experience on building autonomous data services on Azure in the Industry Invited Papers Session! Join us on Wednesday (June 21) at 14:00-15:30 PST for 'Towards Building Autonomous Data Services on Azure.' #mlforsystem #azure #autonomousdatabase.

RT @ZacharyHuang12: In #ML, we've tackled a major roadblock - training Random Forests on normalized #GPU databases, previously hindered by….

RT @nantia_mak: Matteo Interlandi (Gray System Lab, Microsoft) will give a keynote on how databases and machine learning systems can benefi….

RT @ACMSoCC: Hi everyone, our awesome PC Chairs,.@yytian and @ppietzuch have finalized the program committee and.have now opened the submis….

GSL will host NorCal DB Day at the Microsoft Silicon Valley Campus in Mountain View, on Thursday May 11, 2023. Here is the tentative schedule: We would like to invite you to this event. This is the registration form:

RT @yytian: SoCC 2023 Call For Paper is out. We welcome research, industry, vision, and work-in-progress paper submissions. Paper deadline….

RT @yytian: The deadline for VLDB 2023 industry paper is approaching soon! We welcome papers on all aspects of innovative commercial or ind….

We have multiple internship positions within our research group! If you are interested in working with us this summer, consider applying for any of the following job postings:.

RT @pinartozun: Reminiscences on Influential Papers column features @yytian & Fatma Özcan at the latest issue of SIGMOD Record. They have b….

RT @VLDBconf: Congratulations to the authors of the demonstration paper "Share the Tensor Tea: How Databases can Leverage the Machine Learn….

RT @yytian: @GraySystemsLab is hiring for research scientists and research engineers! We tackle interesting challenges in technologies rela….

Panelists: @yytian will share her thoughts at #WomenInDatabases roundtable, @carlo_curino at #SystemsForML roundtable, and @AlekhJindal at the #Poly panel.

Invited talks: @carlo_curino and @AlekhJindal will present applied aspects of AI/ML at @aidbworkshop and @ladsios respectively.

Demo: Rathijit will present a demonstration of #AutoExecutor that introduces predictive parallelism for Spark SQL queries.

Tutorial: @AlekhJindal /@MatteInter will present a tutorial on machine learning for cloud data systems, discussing both the progress and the path forward.

Industry: @virtuabhi will present #SparkCruise workload optimization infrastructure for Spark clusters and Hiren/@AlekhJindal will look back 18 years of #Cosmos while also peeking into its future.

Research: Olga will present #Seagull load prediction infrastructure, Yiwen will present #Phoebe learned checkpointing optimizer, @dimkoutsouk will present #tensors as general data processing abstraction and @anjagruenheid will present her workload compression work with Google.

Looking forward to an exciting @vldb2021 where GSL researchers and collaborators will present 4 research papers, 2 industry papers, 1 tutorial, 1 demo, 2 invited talks, and participate in 3 panel discussions.

@yytian joins us from IBM Research. She has worked on graph analytics, SQL for Big Data, and large-scale machine learning, and is the recipient of the SIGMOD 2019 Research Highlight Award and EDBT 2018 Best Paper Award.

@jcamachor joins us from Cloudera. He is a PMC member of Apache Calcite, Apache Hive, Apache ORC, as well as a member of the Apache Software Foundation, and has extensive experience in query processing and optimization.