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ORCIDAlekh Jindal
Person information
- affiliation: SmartApps, USA
- affiliation (former): Microsoft
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Books and Theses
- 2012
[b1]Alekh Jindal:
OctopusDB : flexible and scalable storage management for arbitrary database engines. Saarland University, 2012
Journal Articles
- 2024
- [j28]Hanxian Huang
, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2(1): 53:1-53:27 (2024) - 2023
- [j27]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data 1(4): 223:1-223:25 (2023) - [j26]Shi Qiao, Alekh Jindal:
PikePlace: Generating Intelligence for Marketplace Datasets. Proc. VLDB Endow. 16(12): 4106-4109 (2023) - [j25]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:
Front Matter. Proc. VLDB Endow. 16(12) (2023) - [j24]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:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - 2022
- [j23]Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka:
Pipemizer: An Optimizer for Analytics Data Pipelines. Proc. VLDB Endow. 15(12): 3710-3713 (2022) - [j22]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:
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022) - [j21]Alekh Jindal, Jyoti Leeka:
Query Optimizer as a Service: An Idea Whose Time Has Come! SIGMOD Rec. 51(3): 49-55 (2022) - 2021
- [j20]Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
Phoebe: A Learning-based Checkpoint Optimizer. Proc. VLDB Endow. 14(11): 2505-2518 (2021) - [j19]Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li:
AutoExecutor: Predictive Parallelism for Spark SQL Queries. Proc. VLDB Endow. 14(12): 2855-2858 (2021) - [j18]Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain:
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft. Proc. VLDB Endow. 14(12): 3122-3134 (2021) - [j17]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:
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward. Proc. VLDB Endow. 14(12): 3148-3161 (2021) - [j16]Alekh Jindal, Matteo Interlandi:
Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward. Proc. VLDB Endow. 14(12): 3202-3205 (2021) - [j15]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:
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. 14(13): 3362-3375 (2021) - 2020
- [j14]Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao:
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft. Proc. VLDB Endow. 13(12): 3326-3339 (2020) - [j13]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:
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. Proc. VLDB Endow. 14(2): 154-162 (2020) - [j12]Alekh Jindal:
Applied Research Lessons from CloudViews Project. SIGMOD Rec. 49(3): 37-42 (2020) - 2019
- [j11]Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino:
SparkCruise: Handsfree Computation Reuse in Spark. Proc. VLDB Endow. 12(12): 1850-1853 (2019) - 2018
- [j10]Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel:
Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. 11(7): 800-812 (2018) - [j9]Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao:
Towards a Learning Optimizer for Shared Clouds. Proc. VLDB Endow. 12(3): 210-222 (2018) - 2017
- [j8]Yi Lu, Anil Shanbhag, Alekh Jindal, Samuel Madden:
AdaptDB: Adaptive Partitioning for Distributed Joins. Proc. VLDB Endow. 10(5): 589-600 (2017) - 2016
- [j7]Anil Shanbhag, Alekh Jindal, Yi Lu, Samuel Madden:
Amoeba: A Shape changing Storage System for Big Data. Proc. VLDB Endow. 9(13): 1569-1572 (2016) - [j6]Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich:
An experimental evaluation and analysis of database cracking. VLDB J. 25(1): 27-52 (2016) - 2014
- [j5]Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, Mike Stonebraker:
VERTEXICA: Your Relational Friend for Graph Analytics! Proc. VLDB Endow. 7(13): 1669-1672 (2014) - 2013
- [j4]Alekh Jindal, Endre Palatinus, Vladimir Pavlov, Jens Dittrich:
A Comparison of Knives for Bread Slicing. Proc. VLDB Endow. 6(6): 361-372 (2013) - [j3]Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich:
The Uncracked Pieces in Database Cracking. Proc. VLDB Endow. 7(2): 97-108 (2013) - 2012
- [j2]Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad:
Only Aggressive Elephants are Fast Elephants. Proc. VLDB Endow. 5(11): 1591-1602 (2012) - 2010
- [j1]Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, Jörg Schad:
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing). Proc. VLDB Endow. 3(1): 518-529 (2010)
Conference and Workshop Papers
- 2024
- [c29]Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain:
Turning Databases Into Generative AI Machines. CIDR 2024 - 2023
- [c28]Rathijit Sen, Abhishek Roy, Alekh Jindal:
Predictive Price-Performance Optimization for Serverless Query Processing. EDBT 2023: 118-130 - [c27]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:
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. SIGMOD Conference Companion 2023: 239-251 - 2022
- [c26]Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal:
Towards Optimal Resource Allocation for Big Data Analytics. EDBT 2022: 2:338-2:350 - [c25]Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal:
Deploying a Steered Query Optimizer in Production at Microsoft. SIGMOD Conference 2022: 2299-2311 - 2021
- [c24]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:
Magpie: Python at Speed and Scale using Cloud Backends. CIDR 2021 - [c23]Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes:
Production Experiences from Computation Reuse at Microsoft. EDBT 2021: 623-634 - [c22]Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel:
Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. ICDE 2021: 2423-2434 - [c21]Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal:
Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference 2021: 2557-2569 - 2020
- [c20]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:
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 2020 - [c19]Malay Bag, Alekh Jindal, Hiren Patel:
Towards Plan-aware Resource Allocation in Serverless Query Processing. HotCloud 2020 - [c18]Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le:
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. SIGMOD Conference 2020: 99-113 - 2019
- [c17]Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan:
Peregrine: Workload Optimization for Cloud Query Engines. SoCC 2019: 416-427 - [c16]Hiren Patel, Alekh Jindal, Clemens A. Szyperski:
Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. SoCC 2019: 490 - 2018
- [c15]Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos:
Query and Resource Optimization: Bridging the Gap. ICDE 2018: 1384-1387 - [c14]Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao:
Computation Reuse in Analytics Job Service at Microsoft. SIGMOD Conference 2018: 191-203 - 2017
- [c13]Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore:
A robust partitioning scheme for ad-hoc query workloads. SoCC 2017: 229-241 - 2016
- [c12]Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia:
GraphFrames: an integrated API for mixing graph and relational queries. GRADES 2016: 2 - 2015
- [c11]Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu:
Graph analytics using vertica relational database. IEEE BigData 2015: 1191-1200 - [c10]Alekh Jindal:
Robust Data Transformations. CIDR 2015 - [c9]Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin:
BigDansing: A System for Big Data Cleansing. SIGMOD Conference 2015: 1215-1230 - 2014
- [c8]Alekh Jindal, Samuel Madden:
GRAPHiQL: A graph intuitive query language for relational databases. IEEE BigData 2014: 441-450 - 2013
- [c7]Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich:
WWHow! Freeing Data Storage from Cages. CIDR 2013 - [c6]Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte:
How Achaeans Would Construct Columns in Troy. CIDR 2013 - [c5]Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden:
Performance and resource modeling in highly-concurrent OLTP workloads. SIGMOD Conference 2013: 301-312 - [c4]Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden:
CARTILAGE: adding flexibility to the Hadoop skeleton. SIGMOD Conference 2013: 1057-1060 - 2011
- [c3]Alekh Jindal, Jens Dittrich:
Relax and Let the Database Do the Partitioning Online. BIRTE 2011: 65-80 - [c2]Jens Dittrich, Alekh Jindal:
Towards a One Size Fits All Database Architecture. CIDR 2011: 195-198 - [c1]Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich:
Trojan data layouts: right shoes for a running elephant. SoCC 2011: 21
Reference Works
- 2019
- [r1]Alekh Jindal, Anil Shanbhag, Yi Lu:
Robust Data Partitioning. Encyclopedia of Big Data Technologies 2019
Informal and Other Publications
- 2024
- [i13]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR abs/2401.01280 (2024) - [i12]Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. CoRR abs/2401.03723 (2024) - 2022
- [i11]Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal:
Deploying a Steered Query Optimizer in Production at Microsoft. CoRR abs/2210.13625 (2022) - 2021
- [i10]Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen:
Optimal Resource Allocation for Serverless Queries. CoRR abs/2107.08594 (2021) - [i9]Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
Phoebe: A Learning-based Checkpoint Optimizer. CoRR abs/2110.02313 (2021) - [i8]Rathijit Sen, Abhishek Roy, Alekh Jindal:
Predictive Price-Performance Optimization for Serverless Query Processing. CoRR abs/2112.08572 (2021) - 2020
- [i7]Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le:
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. CoRR abs/2002.12393 (2020) - [i6]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:
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. CoRR abs/2009.12922 (2020) - 2019
- [i5]Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos:
Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR abs/1906.06590 (2019) - [i4]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:
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR abs/1909.00084 (2019) - 2017
- [i3]Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden:
INGESTBASE: A Declarative Data Ingestion System. CoRR abs/1701.06093 (2017) - 2014
- [i2]Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu:
Graph Analytics using the Vertica Relational Database. CoRR abs/1412.5263 (2014) - 2012
- [i1]Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad:
Only Aggressive Elephants are Fast Elephants. CoRR abs/1208.0287 (2012)
Coauthor Index
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