Alekh Jindal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
5
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CIDR | Turning Databases Into Generative AI Machines. | Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain |
| 2023 | EDBT | Predictive Price-Performance Optimization for Serverless Query Processing. | Rathijit Sen, Abhishek Roy, Alekh Jindal |
| 2023 | SIGMOD | Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. | Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grmling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang |
| 2022 | EDBT | Towards Optimal Resource Allocation for Big Data Analytics. | Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal |
| 2022 | SIGMOD | Deploying a Steered Query Optimizer in Production at Microsoft. | Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal |
| 2021 | CIDR | Magpie: Python at Speed and Scale using Cloud Backends. | Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mller, Wentao Wu, Hiren Patel |
| 2021 | EDBT | Production Experiences from Computation Reuse at Microsoft. | Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes |
| 2021 | ICDE | Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. | Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel |
| 2021 | SIGMOD | Steering Query Optimizers: A Practical Take on Big Data Workloads. | Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | SIGMOD | Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. | Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le |
| 2019 | CLOUD | Peregrine: Workload Optimization for Cloud Query Engines. | Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan |
| 2019 | CLOUD | Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. | Hiren Patel, Alekh Jindal, Clemens A. Szyperski |
| 2018 | ICDE | Query and Resource Optimization: Bridging the Gap. | Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos |
| 2018 | SIGMOD | Computation Reuse in Analytics Job Service at Microsoft. | Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao |
| 2017 | CLOUD | A robust partitioning scheme for ad-hoc query workloads. | Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quian-Ruiz, Aaron J. Elmore |
| 2015 | CIDR | Robust Data Transformations. | Alekh Jindal |
| 2015 | SIGMOD | BigDansing: A System for Big Data Cleansing. | Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quian-Ruiz, Nan Tang, Si Yin |
| 2013 | CIDR | WWHow! Freeing Data Storage from Cages. | Alekh Jindal, Jorge-Arnulfo Quian-Ruiz, Jens Dittrich |
| 2013 | CIDR | How Achaeans Would Construct Columns in Troy. | Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte |
| 2013 | SIGMOD | CARTILAGE: adding flexibility to the Hadoop skeleton. | Alekh Jindal, Jorge-Arnulfo Quian-Ruiz, Samuel Madden |
| 2013 | SIGMOD | Performance and resource modeling in highly-concurrent OLTP workloads. | Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden |
| 2011 | CIDR | Towards a One Size Fits All Database Architecture. | Jens Dittrich, Alekh Jindal |
| 2011 | CLOUD | Trojan data layouts: right shoes for a running elephant. | Alekh Jindal, Jorge-Arnulfo Quian-Ruiz, Jens Dittrich |