Alekh Jindal - RankMe

78 papers A* 2A 7B 3Journal 47Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Making Databases Searchable with Deep Context. CoRR Alekh Jindal, Shi Qiao, Shivani Tripathi, Niloy Debnath, Kunal Singh, Pushpanjali Nema, Sharath Prakash, Aditya Halder, Ronith PR, Sadiq Mohammed, Abdul Hameed, Karan Hanswadkar, Ayush Kshitij, Haresh S. Bhatt, Rony Chatterjee, Jyoti Pandey, Christina Pavlopoulou, Ravi Shetye
2026	J	`jnl`	Scalable Join Inference for Large Context Graphs. CoRR Shivani Tripathi, Ravi Shetye, Shi Qiao, Alekh Jindal
2026	J	`jnl`	Tursio Database Search: How far are we from ChatGPT? CoRR Sulbha Jain, Shivani Tripathi, Shi Qiao, Alekh Jindal
2026	J	`jnl`	Tursio for Credit Unions: Structured Data Search with Automated Context Graphs. CoRR Shivani Tripathi, Ravi Shetye, Shi Qiao, Alekh Jindal
2025	J	`jnl`	Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models. CoRR Shivani Tripathi, Pushpanjali Nema, Aditya Halder, Shi Qiao, Alekh Jindal
2025	J	`jnl`	Searching Clinical Data Using Generative AI. CoRR Karan Hanswadkar, Anika Kanchi, Shivani Tripathi, Shi Qiao, Rony Chatterjee, Alekh Jindal
2024	J	`jnl`	GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2024	J	`jnl`	Sibyl: Forecasting Time-Evolving Query Workloads. CoRR Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024	J	`jnl`	Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024	A	`conf`	Turning Databases Into Generative AI Machines. CIDR Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain
2023	J	`jnl`	Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
2023	J	`jnl`	Front Matter. Proc. VLDB Endow. Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete
2023	J	`jnl`	GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2023	—	`conf`	Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. SIGMOD Conference Companion Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang
2023	J	`jnl`	PikePlace: Generating Intelligence for Marketplace Datasets. Proc. VLDB Endow. Shi Qiao, Alekh Jindal
2023	B	`conf`	Predictive Price-Performance Optimization for Serverless Query Processing. EDBT Rathijit Sen, Abhishek Roy, Alekh Jindal
2022	—	`conf`	Deploying a Steered Query Optimizer in Production at Microsoft. SIGMOD Conference Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal
2022	J	`jnl`	Deploying a Steered Query Optimizer in Production at Microsoft. CoRR Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal
2022	J	`jnl`	Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang
2022	J	`jnl`	Pipemizer: An Optimizer for Analytics Data Pipelines. Proc. VLDB Endow. Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka
2022	J	`jnl`	Query Optimizer as a Service: An Idea Whose Time Has Come! SIGMOD Rec. Alekh Jindal, Jyoti Leeka
2022	B	`conf`	Towards Optimal Resource Allocation for Big Data Analytics. EDBT Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal
2021	J	`jnl`	AutoExecutor: Predictive Parallelism for Spark SQL Queries. Proc. VLDB Endow. Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li
2021	J	`jnl`	Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward. Proc. VLDB Endow. Alekh Jindal, Matteo Interlandi
2021	A	`conf`	Magpie: Python at Speed and Scale using Cloud Backends. CIDR Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Müller, Wentao Wu, Hiren Patel
2021	A*	`conf`	Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. ICDE Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
2021	J	`jnl`	Optimal Resource Allocation for Serverless Queries. CoRR Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen
2021	J	`jnl`	PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal
2021	J	`jnl`	Phoebe: A Learning-based Checkpoint Optimizer. CoRR Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021	J	`jnl`	Phoebe: A Learning-based Checkpoint Optimizer. Proc. VLDB Endow. Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021	J	`jnl`	Predictive Price-Performance Optimization for Serverless Query Processing. CoRR Rathijit Sen, Abhishek Roy, Alekh Jindal
2021	B	`conf`	Production Experiences from Computation Reuse at Microsoft. EDBT Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
2021	J	`jnl`	SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft. Proc. VLDB Endow. Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain
2021	—	`conf`	Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal
2021	J	`jnl`	The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward. Proc. VLDB Endow. Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Josh Rowe, Fan Zhang, Rich Draves, Ivan Santa, Amrish Kumar
2020	J	`jnl`	Applied Research Lessons from CloudViews Project. SIGMOD Rec. Alekh Jindal
2020	J	`jnl`	AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft. Proc. VLDB Endow. Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
2020	A	`conf`	Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 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	—	`conf`	Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. SIGMOD Conference Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le
2020	J	`jnl`	Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. CoRR Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le
2020	J	`jnl`	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. CoRR Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
2020	J	`jnl`	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. Proc. VLDB Endow. Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
2020	—	`conf`	Towards Plan-aware Resource Allocation in Serverless Query Processing. HotCloud Malay Bag, Alekh Jindal, Hiren Patel
2019	—	`conf`	Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. SoCC Hiren Patel, Alekh Jindal, Clemens A. Szyperski
2019	J	`jnl`	Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR 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
2019	—	`conf`	Peregrine: Workload Optimization for Cloud Query Engines. SoCC Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
2019	J	`jnl`	Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
2019	—	`ch.`	Robust Data Partitioning. Encyclopedia of Big Data Technologies Alekh Jindal, Anil Shanbhag, Yi Lu
2019	J	`jnl`	SparkCruise: Handsfree Computation Reuse in Spark. Proc. VLDB Endow. Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
2018	—	`conf`	Computation Reuse in Analytics Job Service at Microsoft. SIGMOD Conference Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
2018	A*	`conf`	Query and Resource Optimization: Bridging the Gap. ICDE Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
2018	J	`jnl`	Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
2018	J	`jnl`	Towards a Learning Optimizer for Shared Clouds. Proc. VLDB Endow. Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
2017	—	`conf`	A robust partitioning scheme for ad-hoc query workloads. SoCC Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore
2017	J	`jnl`	AdaptDB: Adaptive Partitioning for Distributed Joins. Proc. VLDB Endow. Yi Lu, Anil Shanbhag, Alekh Jindal, Samuel Madden
2017	J	`jnl`	INGESTBASE: A Declarative Data Ingestion System. CoRR Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden
2016	J	`jnl`	Amoeba: A Shape changing Storage System for Big Data. Proc. VLDB Endow. Anil Shanbhag, Alekh Jindal, Yi Lu, Samuel Madden
2016	J	`jnl`	An experimental evaluation and analysis of database cracking. VLDB J. Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
2016	—	`conf`	GraphFrames: an integrated API for mixing graph and relational queries. GRADES Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia
2015	—	`conf`	BigDansing: A System for Big Data Cleansing. SIGMOD Conference Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin
2015	—	`conf`	Graph analytics using vertica relational database. IEEE BigData Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu
2015	A	`conf`	Robust Data Transformations. CIDR Alekh Jindal
2014	—	`conf`	GRAPHiQL: A graph intuitive query language for relational databases. IEEE BigData Alekh Jindal, Samuel Madden
2014	J	`jnl`	Graph Analytics using the Vertica Relational Database. CoRR Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu
2014	J	`jnl`	VERTEXICA: Your Relational Friend for Graph Analytics! Proc. VLDB Endow. Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, Mike Stonebraker
2013	J	`jnl`	A Comparison of Knives for Bread Slicing. Proc. VLDB Endow. Alekh Jindal, Endre Palatinus, Vladimir Pavlov, Jens Dittrich
2013	—	`conf`	CARTILAGE: adding flexibility to the Hadoop skeleton. SIGMOD Conference Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden
2013	A	`conf`	How Achaeans Would Construct Columns in Troy. CIDR Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte
2013	—	`conf`	Performance and resource modeling in highly-concurrent OLTP workloads. SIGMOD Conference Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden
2013	J	`jnl`	The Uncracked Pieces in Database Cracking. Proc. VLDB Endow. Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
2013	A	`conf`	WWHow! Freeing Data Storage from Cages. CIDR Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich
2012	—	`—`	OctopusDB : flexible and scalable storage management for arbitrary database engines. Alekh Jindal
2012	J	`jnl`	Only Aggressive Elephants are Fast Elephants CoRR Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad
2012	J	`jnl`	Only Aggressive Elephants are Fast Elephants. Proc. VLDB Endow. Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad
2011	—	`conf`	Relax and Let the Database Do the Partitioning Online. BIRTE Alekh Jindal, Jens Dittrich
2011	A	`conf`	Towards a One Size Fits All Database Architecture. CIDR Jens Dittrich, Alekh Jindal
2011	—	`conf`	Trojan data layouts: right shoes for a running elephant. SoCC Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich
2010	J	`jnl`	Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing). Proc. VLDB Endow. Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, Jörg Schad