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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Dataset Source Code

ALEX

ALEX is a ML-enhanced range index, similar in functionality to a B+ Tree. Our implementation is a near drop-in replacement for std::map or std::multimap.

GitHub Publication

Publication

Incorporating Super-Operators in Big-Data Query Optimizers

Kaushik Rajan, Jyoti Leeka

International Conference on Very Large Databases (VLDB) | September 2020

Project

Publication

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters: Extended Version

September 2020

Project

Publication

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Srikanth Kandula, Laurel Orr, Surajit Chaudhuri

VLDB | August 2020

Best Paper Runner-Up

Project Project

Publication

Efficiently Approximating Selectivity Functions using Low Overhead Regression Models

Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri

46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020

Project

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

Kexin Rong, Yao Lu, Srikanth Kandula, Peter Bailis, Phil Levis

VLDB | August 2020

Project

Event

Microsoft at VLDB 2020

August 31, 2020 – September 4, 2020 | Virtual/Online

Microsoft is proud to be a gold sponsor of the 46th International Conference on Very Large Data Bases (VLDB 2020). Join us in one of our sessions to hear more about our recent research.

close-up of numbers for conference on Very Large Data Bases - VLDB 2020

Dataset Source Code

Thematic is a library and web application to aid designers in creating color palettes that unify application colors based on a desired look and feel (e.g., corporate branding) while also providing perceptually balanced color palettes…

GitHub

Publication

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

Jamie Pool, Ebrahim Beyrami, Vishak Gopal, Ashkan Aazami, Jayant Gupchup, Jeff Rowland, Bin Li, Pritesh Kanani, Ross Cutler, Johannes Gehrke

2020 Knowledge Discovery and Data Mining | August 2020

Event

Microsoft at SIGCOMM 2020

August 10, 2020 – August 14, 2020 | Virtual/Online

Microsoft is proud to be a sponsor of the ACM Special Interest Group on Data Communication (SIGCOMM). Join us in one of our many sessions to hear more about our recent research and stop by…

Data platforms and analytics

Highlights