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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

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Project Project

Publication

Discovering Related Data At Scale

Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha

VLDB Endowment | August 2021, Vol 14(8)

Project

Publication

Optimization of threshold functions over streams

Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli

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

Publication

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft

Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain

VLDB 2021 | August 2021

Publication

Crystal: A Unified Cache Storage System for Analytical Databases

Dominik Durner, Badrish Chandramouli, Yinan Li

Proceedings of the VLDB Endowment | August 2021

Project

Publication

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)

KDD | August 2021

Project

Publication

Cardinality Estimation: Is Machine Learning a Silver Bullet?

Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula

AIDB | August 2021

Publication

Hyperspace: The Indexing Subsystem of Azure Synapse

Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan

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

Publication

The Case for ML-Enhanced High-Dimensional Indexes

Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang

AIDB@VLDB 2021 | July 2021

Video

Seagull: ML Infrastructure for Load Prediction and Optimized Resource Allocation, VLDB 2021

July 29, 2021 | Olga Poppe

Microsoft Azure is dedicated to guarantee high quality of service to its customers, in particular, during periods of high customer activity, while controlling cost. We employ a Data Science (DS) driven solution to predict user…

07:51

Data platforms and analytics

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