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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

A First Step Towards Production-Ready Network Function Storage: Benchmarking with NFSB

Haochen Pan, Yingjian Wu, Lewis Tseng, Muntasir Raihan Rahman, Nakjung Choi

2019 IEEE 40th Sarnoff Symposium | September 2019

Publication

Efficient Remote Procedure Calls for Datacenters

Anuj Kalia

September 2019

PhD Thesis: Carnegie Mellon University | September 2019

Honorable Mention, SIGOPS, The Dennis M. Ritchie Award 2020

Publication

Open Data using Cloud Infrastructure

Vani Mandava, Monojit Choudhury

CoDS-COMAD ’19, January 3–5, 2019, Kolkata, India | September 2019

Publication

Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling

Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay

IEEE Transactions on Visualization and Computer Graphics | September 2019

Publication

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid

Karthik Ramachandra, Kwanghyun Park

Proceedings of VLDB | August 2019, Vol 12(12): pp. 1810-1813

Video Project

Event

Microsoft at VLDB 2019

August 26, 2019 – August 30, 2019 | Los Angeles, CA

Microsoft is a proud Platinum sponsor for VLDB, a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users.

Sunset of skyline and palm trees inLos Angeles

Publication

Robust Log-based Anomaly Detection on Unstable Log Data

Xu Zhang, …, Qingwei Lin, …

FSE’19 | August 2019

Publication

Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation

Jinkun Lin, …, Qingwei Lin, …

FSE’19 | August 2019

Publication

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos

Symposium on Cloud Computing (SoCC) | August 2019

Video

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

August 22, 2019 | Eunice Jun

Current statistical tools place the burden of valid, reproducible statistical analyses on the user. Users must have deep knowledge of statistics to not only identify their research questions, hypotheses, and domain assumptions but also select…

Statistics is hard slide from Tea: A High-level Language and Runtime System for Automating Statistical Analysis talk

0:38:13

Data platforms and analytics

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