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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

Event

Microsoft at VLDB 2021

August 16, 2021 – August 20, 2021 | Copenhagen, Denmark | Virtual

Microsoft is proud to be a gold level sponsor of the 47th International Conference on Very Large Data Bases.

Publication

Table2Charts: Recommending Charts by Learning Shared Table Representations

Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang

The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021

Project

Tool

Hyperspace

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

GitHub Publication

Publication

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Chia-Hsuan Lee, Alex Polozov, Matthew Richardson

ACL-IJCNLP 2021 | August 2021

Access Project

Publication

The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward

Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Joshua Rowe, Fan Zhang, Rich Draves, Marc Friedman, Ivan Santa Maria Filho, Amrish Kumar

VLDB 2021 | August 2021

Publication

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proceedings of the VLDB Endowment (VLDB 2021) | August 2021

Publication

On Post-selection Inference in A/B Testing

Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2021

Publication

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang

Proceedings of the VLDB Endowment (VLDB 2021) | August 2021

Publication

AutoExecutor: Predictive Parallelism for Spark SQL Queries

Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li

VLDB | August 2021

Best Demonstration Award

Publication

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics

Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya

Proceedings of the VLDB Endowment (VLDB 2021) | August 2021

Data platforms and analytics

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