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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

Publication

Bitvector-aware Query Optimization for Decision Support Queries

Bailu Ding, Surajit Chaudhuri, Vivek Narasayya

ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020

Project

Publication

Efficient Approximation Algorithms for Adaptive Influence Maximization

Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim

The VLDB Journal | June 2020

Publication

Achieving High Throughput and Elasticity in a Larger-than-Memory Store

Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman

PVLDB, 14(8), 2021 | June 2020

Project Project Project

Publication

Building Continuous Integration Services for Machine Learning

Bojan Karlas, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) | June 2020

Publication

Qd-tree: Learning Data Layouts for Big Data Analytics

Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya

SIGMOD 2020 | June 2020

Project

Publication

Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server

Surajit Chaudhuri, Vivek Narasayya

June 2020

Project

Publication

Causality-Guided Adaptive Interventional Debugging

Anna Fariha, Suman Nath, Alexandra Meliou

ACM SIGMOD International Conference on Management of Data | June 2020

Project

Group

Experimentation Platform

Experimentation Platform (ExP) is a team of 60+ Data Scientists, Software Engineers and Program Managers. Our mission is to accelerate innovation through trustworthy experimentation.

Publication

ALEX: An Updatable Adaptive Learned Index

Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska

MSR-TR-2020-12 | May 2020

Published by Microsoft

SIGMOD 2020 | June 2020

Github

Microsoft Research Blog

Research Collection: Tools and Data to Advance the State of the Art

May 19, 2020

“This is a game changer for the big data community. Initiatives like Microsoft Research Open Data reduce barriers to data sharing and encourage reproducibility by leveraging the power of cloud computing” —Sam Madden, Professor, Massachusetts…

Data platforms and analytics

Highlights