Alekh Jindal

According to our database, Alekh Jindal authored at least 64 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

Turning Databases Into Generative AI Machines.

Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

GEqO: ML-Accelerated Semantic Equivalence Detection.

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

Proc. ACM Manag. Data, December, 2023

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.

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

SIGMOD Rec., June, 2023

Front Matter.

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

Proc. VLDB Endow., 2023

PikePlace: Generating Intelligence for Marketplace Datasets.

Shi Qiao, Alekh Jindal

Proc. VLDB Endow., 2023

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.

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

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Predictive Price-Performance Optimization for Serverless Query Processing.

Rathijit Sen, Abhishek Roy, Alekh Jindal

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Query Optimizer as a Service: An Idea Whose Time Has Come!

Alekh Jindal, Jyoti Leeka

SIGMOD Rec., 2022

Diversity and Inclusion Activities in Database Conferences: A 2021 Report.

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

SIGMOD Rec., 2022

Pipemizer: An Optimizer for Analytics Data Pipelines.

Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka

Proc. VLDB Endow., 2022

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Towards Optimal Resource Allocation for Big Data Analytics.

Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal

Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021

Phoebe: A Learning-based Checkpoint Optimizer.

Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

Proc. VLDB Endow., 2021

AutoExecutor: Predictive Parallelism for Spark SQL Queries.

Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li

Proc. VLDB Endow., 2021

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft.

Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain

Proc. VLDB Endow., 2021

The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward.

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

Proc. VLDB Endow., 2021

Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward.

Alekh Jindal, Matteo Interlandi

Proc. VLDB Endow., 2021

PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!

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

Proc. VLDB Endow., 2021

Predictive Price-Performance Optimization for Serverless Query Processing.

Rathijit Sen, Abhishek Roy, Alekh Jindal

CoRR, 2021

Phoebe: A Learning-based Checkpoint Optimizer.

Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

CoRR, 2021

Optimal Resource Allocation for Serverless Queries.

Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen

CoRR, 2021

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft.

Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Production Experiences from Computation Reuse at Microsoft.

Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes

Proceedings of the 24th International Conference on Extending Database Technology, 2021

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 Müller, Wentao Wu, Hiren Patel

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Applied Research Lessons from CloudViews Project.

Alekh Jindal

SIGMOD Rec., 2020

AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft.

Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao

Proc. VLDB Endow., 2020

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.

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

Proc. VLDB Endow., 2020

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings.

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le

Proceedings of the 2020 International Conference on Management of Data, 2020

Towards Plan-aware Resource Allocation in Serverless Query Processing.

Malay Bag, Alekh Jindal, Hiren Patel

Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Robust Data Partitioning.

Alekh Jindal, Anil Shanbhag, Yi Lu

Proceedings of the Encyclopedia of Big Data Technologies., 2019

SparkCruise: Handsfree Computation Reuse in Spark.

Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino

Proc. VLDB Endow., 2019

Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems.

Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos

CoRR, 2019

Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost.

Hiren Patel, Alekh Jindal, Clemens A. Szyperski

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Peregrine: Workload Optimization for Cloud Query Engines.

Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Towards a Learning Optimizer for Shared Clouds.

Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao

Proc. VLDB Endow., 2018

Selecting Subexpressions to Materialize at Datacenter Scale.

Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel

Proc. VLDB Endow., 2018

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

Proceedings of the 2018 International Conference on Management of Data, 2018

Query and Resource Optimization: Bridging the Gap.

Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

AdaptDB: Adaptive Partitioning for Distributed Joins.

Yi Lu, Anil Shanbhag, Alekh Jindal, Samuel Madden

Proc. VLDB Endow., 2017

INGESTBASE: A Declarative Data Ingestion System.

Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden

CoRR, 2017

A robust partitioning scheme for ad-hoc query workloads.

Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

An experimental evaluation and analysis of database cracking.

Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich

VLDB J., 2016

Amoeba: A Shape changing Storage System for Big Data.

Anil Shanbhag, Alekh Jindal, Yi Lu, Samuel Madden

Proc. VLDB Endow., 2016

GraphFrames: an integrated API for mixing graph and relational queries.

Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015

BigDansing: A System for Big Data Cleansing.

Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Robust Data Transformations.

Alekh Jindal

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

Graph analytics using vertica relational database.

Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

VERTEXICA: Your Relational Friend for Graph Analytics!

Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, Mike Stonebraker

Proc. VLDB Endow., 2014

GRAPHiQL: A graph intuitive query language for relational databases.

Alekh Jindal, Samuel Madden

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

The Uncracked Pieces in Database Cracking.

Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich

Proc. VLDB Endow., 2013

A Comparison of Knives for Bread Slicing.

Alekh Jindal, Endre Palatinus, Vladimir Pavlov, Jens Dittrich

Proc. VLDB Endow., 2013

Performance and resource modeling in highly-concurrent OLTP workloads.

Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

CARTILAGE: adding flexibility to the Hadoop skeleton.

Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

How Achaeans Would Construct Columns in Troy.

Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

WWHow! Freeing Data Storage from Cages.

Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

OctopusDB : flexible and scalable storage management for arbitrary database engines.

Alekh Jindal

PhD thesis, 2012

Only Aggressive Elephants are Fast Elephants.

Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad

Proc. VLDB Endow., 2012

2011

Trojan data layouts: right shoes for a running elephant.

Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich

Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011

Towards a One Size Fits All Database Architecture.

Jens Dittrich, Alekh Jindal

Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

Relax and Let the Database Do the Partitioning Online.

Alekh Jindal, Jens Dittrich

Proceedings of the Enabling Real-Time Business Intelligence - 5th International Workshop, 2011

2010

Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing).

Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, Jörg Schad

Proc. VLDB Endow., 2010