Alekh Jindal

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 54

Top Venues

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

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 (2024)
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR (2024)
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) (2024)
Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain
Turning Databases Into Generative AI Machines. CIDR (2024)
Shi Qiao, Alekh Jindal
PikePlace: Generating Intelligence for Marketplace Datasets. Proc. VLDB Endow. 16 (12) (2023)
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)
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data 1 (4) (2023)
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) (2023)
Rathijit Sen, Abhishek Roy, Alekh Jindal
Predictive Price-Performance Optimization for Serverless Query Processing. EDBT (2023)
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)
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) (2022)
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) (2022)
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 (2022)
Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal
Towards Optimal Resource Allocation for Big Data Analytics. EDBT (2022)
Alekh Jindal, Jyoti Leeka
Query Optimizer as a Service: An Idea Whose Time Has Come! SIGMOD Rec. 51 (3) (2022)
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)
Alekh Jindal, Matteo Interlandi
Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward. Proc. VLDB Endow. 14 (12) (2021)
Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
Production Experiences from Computation Reuse at Microsoft. EDBT (2021)
Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. ICDE (2021)
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) (2021)
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) (2021)
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) (2021)
Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mueller, Wentao Wu, Hiren Patel
Magpie: Python at Speed and Scale using Cloud Backends. CIDR (2021)
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) (2021)
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)
Rathijit Sen, Abhishek Roy, Alekh Jindal
Predictive Price-Performance Optimization for Serverless Query Processing. CoRR (2021)
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
Phoebe: A Learning-based Checkpoint Optimizer. CoRR (2021)
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 (2021)
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) (2021)
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. CoRR (2020)
Malay Bag, Alekh Jindal, Hiren Patel
Towards Plan-aware Resource Allocation in Serverless Query Processing. HotCloud (2020)
Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft. Proc. VLDB Endow. 13 (12) (2020)
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)
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)
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) (2020)
Alekh Jindal
Applied Research Lessons from CloudViews Project. SIGMOD Rec. 49 (3) (2020)
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 (2020)
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 (2019)
Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR (2019)
Hiren Patel, Alekh Jindal, Clemens A. Szyperski
Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. SoCC (2019)
Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
Peregrine: Workload Optimization for Cloud Query Engines. SoCC (2019)
Hiren Patel, Alekh Jindal, Clemens A. Szyperski
Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. SoCC (2019)
Hiren Patel, Alekh Jindal, Subru Krishnan, Rathijit Sen, Shi Qiao, Abhishek Roy, Zhicheng Yin
Peregrine: Workload Optimization for Cloud Query Engines. SoCC (2019)
Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
SparkCruise: Handsfree Computation Reuse in Spark. Proc. VLDB Endow. 12 (12) (2019)
Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. 11 (7) (2018)
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)
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) (2018)
Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
Query and Resource Optimization: Bridging the Gap. ICDE (2018)
Yi Lu, Anil Shanbhag, Alekh Jindal, Samuel Madden
AdaptDB: Adaptive Partitioning for Distributed Joins. Proc. VLDB Endow. 10 (5) (2017)
Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore
A robust partitioning scheme for ad-hoc query workloads. SoCC (2017)
Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden
INGESTBASE: A Declarative Data Ingestion System. CoRR (2017)
Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
An experimental evaluation and analysis of database cracking. VLDB J. 25 (1) (2016)
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)
Anil Shanbhag, Alekh Jindal, Yi Lu, Samuel Madden
Amoeba: A Shape changing Storage System for Big Data. Proc. VLDB Endow. 9 (13) (2016)
Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu
Graph analytics using vertica relational database. IEEE BigData (2015)
Alekh Jindal
Robust Data Transformations. CIDR (2015)
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)
Alekh Jindal, Samuel Madden, Malú Castellanos, Meichun Hsu
Graph Analytics using the Vertica Relational Database. CoRR (2014)
Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, Mike Stonebraker
VERTEXICA: Your Relational Friend for Graph Analytics! Proc. VLDB Endow. 7 (13) (2014)
Alekh Jindal, Samuel Madden
GRAPHiQL: A graph intuitive query language for relational databases. IEEE BigData (2014)
Alekh Jindal, Endre Palatinus, Vladimir Pavlov, Jens Dittrich
A Comparison of Knives for Bread Slicing. Proc. VLDB Endow. 6 (6) (2013)
Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Samuel Madden
CARTILAGE: adding flexibility to the Hadoop skeleton. SIGMOD Conference (2013)
Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden
Performance and resource modeling in highly-concurrent OLTP workloads. SIGMOD Conference (2013)
Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
The Uncracked Pieces in Database Cracking. Proc. VLDB Endow. 7 (2) (2013)
Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich
WWHow! Freeing Data Storage from Cages. CIDR (2013)
Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte
How Achaeans Would Construct Columns in Troy. CIDR (2013)
Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Stefan Richter, Stefan Schuh, Alekh Jindal, Jörg Schad
Only Aggressive Elephants are Fast Elephants CoRR (2012)
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) (2012)
Alekh Jindal, Jorge-Arnulfo Quiané-Ruiz, Jens Dittrich
Trojan data layouts: right shoes for a running elephant. SoCC (2011)
Alekh Jindal, Jens Dittrich
Relax and Let the Database Do the Partitioning Online. BIRTE (2011)
Jens Dittrich, Alekh Jindal
Towards a One Size Fits All Database Architecture. CIDR (2011)
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) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alekh Jindal