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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

The 2nd Workshop on Hot Topics in Video Analytics and Intelligent Edges

August 10, 2020 | New York City

Cameras are everywhere! Analyzing live videos from these cameras has great potential to impact science and society. Enterprise cameras are deployed for a wide variety of commercial and security reasons. Consumer devices themselves have cameras with users…

Publication

Vamsa: Automated Provenance Tracking in Data Science Scripts

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yiwen Zhu, Markus Weimer, Yinghui Wu

KDD | August 2020

Publication

Auto-Transform: Learning-to-Transform by Patterns

Zhongjun Jin, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | August 2020

Project

Publication

Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates

Surabhi Gupta, Sanket Purandare, Karthik Ramachandra

ACM SIGMOD 2020 | August 2020

Video Project Project

Video

SkinnerDB: Regret Bounded Query Evaluation using RL

July 31, 2020 | Immanuel Trummer

Query plans are typically selected based on coarse-grained data statistics and simplifying cost and cardinality models. This approach is brittle and the most common cause of highly suboptimal performance in practice. SkinnerDB eschews statistics and…

Publication

Popping into Focus: Community Engagement for Environmental Impact and Awareness

Madeleine Daepp, Helen Fitzmaurice, Shawn Janzen, Jaime Ponce, Asta Roseway, Juliana Felkner, Wende Copfer, Wilfred Pinfold, Dev Niyogi

July 2020

Project

Publication

AutoToken: predicting peak parallelism for big data analytics at Microsoft

Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao

Very Large Data Bases | July 2020

Project Project

Publication

POLARIS: the distributed SQL engine in azure synapse

Josep Aguilar-Saborit, Raghu Ramakrishnan, Krish Srinivasan, Kevin Bocksrocker, Ioannis Alagiannis, Mahadevan Sankara, Moe Shafiei, Jose Blakeley, Girish Dasarathy, Sumeet Dash, Lazar Davidovic, Maja Damjanic, Slobodan Djunic, Nemanja Djurkic, Charles Feddersen, Cesar Galindo-Legaria, Alan Halverson, Milana Kovacevic, Nikola Kicovic, Goran Lukic, Djordje Maksimovic, Ana Manic, Nikola Markovic, Bosko Mihic, Ugljesa Milic, Marko Milojevic, Tapas Nayak, Milan Potocnik, Milos Radic, Bozidar Radivojevic, Srikumar Rangarajan, Milan Ruzic, Milan Simic, Marko Sosic, Igor Stanko, Maja Stikic, Sasa Stanojkov, Vukasin Stefanovic, Milos Sukovic, Aleksandar Tomic, Dragan Tomic, Steve Toscano, Djordje Trifunovic, Veljko Vasic, Tomer Verona, Aleksandar Vujic, Nikola Vujic, Marko Vukovic, Marko Zivanovic

2020 VLDB: Very Large Data Bases | July 2020

Publication

ESTOCADA: Towards Scalable Polystore Systems

Rana Alotaibi, Bogdan Cautis, Alin Deutsch, M. Latrache, Ioana Manolescu, Y. Yang

VLDB | July 2020

Video

Discovering hidden connections in art with deep, interpretable visual analogies

July 30, 2020 | Mark Hamilton

Image retrieval systems allow individuals to find images that are semantically similar to a query image. This serves as the backbone of reverse image search engines and many product recommendation engines. Restricting an image retrieval…

Data platforms and analytics

Highlights