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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

Publication

Query Processing on Gaming Consoles

Wei Cui, Qianxi Zhang, Jesús Camacho-Rodríguez, Spyros Blanas, Brandon Haynes, Yinan Li, Peng Cheng, Ravishankar Ramamurthy, Rathijit Sen, Matteo Interlandi

June 2023

Project

Garnet

A high-performance, extensible, and low-latency remote cache-store from Microsoft Research Garnet is a research project from Microsoft Research. It is a remote cache-store designed to offer high performance, extensibility, and low latency. Garnet is thread-scalable within…

Publication

LST-Bench: Benchmarking Log-Structured Tables in the Cloud

Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

ACM SIGMOD | June 2024

Microsoft Research Blog

Improving LLM understanding of structured data and exploring advanced prompting methods

March 7, 2024 | Mengyu Zhou

Structural Understanding Capabilities is a new benchmark for evaluating and improving LLM comprehension of structured table data. This advance can help LLMs process and analyze data more effectively, broadening their applicability in real-world tasks.

Publication

Sibyl: Forecasting Time-Evolving Query Workloads

Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian

SIGMOD | June 2024

Publication

GEqO: ML-Accelerated Semantic Equivalence Detection

Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian

Proceedings of the ACM on Management of Data | December 2023

Publication

A Deep Dive into Common Open Formats for Analytical DBMSs

Chunwei Liu, Anna Pavlenko, Matteo Interlandi, Brandon Haynes

Proc. VLDB Endow. | June 2023, Vol 16: pp. 3044-3056

Best Paper Runner-Up

Publication

VASIM: Vertical Autoscaling Simulator Toolkit

Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez

IEEE International Conference on Data Engineering (ICDE 2024) | May 2024

Microsoft Research Blog

Research Focus: Week of February 19, 2024

February 21, 2024 | Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Jesús Camacho Rodríguez, Karla Saur, Sudipta Sinha, Stephen Schneider, Serena Hillman

In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.

Research Focus Week of February 19, 2024

Publication

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

Project Project

Data platforms and analytics

Highlights