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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

Tool

Microsoft Visual Analytics Components

A component-based library for creating visual analytics applications

GitHub

Tool

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

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

Publication

Approximate Partition Selection for BigData Workloads using Summary Statistics

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

VLDB | August 2020

Project

Tool

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

Data platforms and analytics

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