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ORCIDAnja Gruenheid
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- affiliation: Google, Madison, WI, USA
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2020 – today
- 2024
[j11]Jesús Camacho-Rodríguez
, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proc. ACM Manag. Data 2(1): 59:1-59:26 (2024)- [j10]Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian:
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. Proc. VLDB Endow. 17(12): 4269-4272 (2024) - [c11]Dominik Durner, Lennart Espe, Jana Giceva, Anja Gruenheid:
TracEx: Understanding and Analyzing Database Traces. CIDR 2024 - [c10]Eric Enzler, Olivier Goerens, Gustavo Alonso, Anja Gruenheid:
Performance Truthfulness of Differential Privacy for DB Testing. DBTest@SIGMOD 2024: 30-35 - [c9]Anja Gruenheid, Manuel Rigger:
Tenth International Workshop on Testing Database Systems (DBTest). SIGMOD Conference Companion 2024: 665-666 - [i7]Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - 2023
- [j9]Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu:
Exploiting Structure in Regular Expression Queries. Proc. ACM Manag. Data 1(2): 152:1-152:28 (2023) - [c8]Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi:
Unshackling Database Benchmarking from Synthetic Workloads. ICDE 2023: 3659-3662 - [c7]Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - [i6]Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. CoRR abs/2305.01120 (2023) - 2022
- [j8]Shaleen Deep, Anja Gruenheid, Kruthi Nagaraj, Hiro Naito, Jeffrey F. Naughton, Stratis Viglas:
DIAMETRICS: benchmarking query engines at scale. Commun. ACM 65(12): 105-112 (2022) - [j7]Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Stratis Viglas, Jeffrey F. Naughton:
Comprehensive and Efficient Workload Summarization. Datenbank-Spektrum 22(3): 249-256 (2022) - 2021
- [j6]Shaleen Deep, Anja Gruenheid, Kruthi Nagaraj, Hiro Naito, Jeffrey F. Naughton, Stratis Viglas:
DIAMetrics: Benchmarking Query Engines at Scale. SIGMOD Rec. 50(1): 24-31 (2021) - 2020
- [j5]Anja Gruenheid, Shaleen Deep, Kruthi Nagaraj, Hiro Naito, Jeffrey F. Naughton, Stratis Viglas:
DIAMetrics: Benchmarking Query Engines at Scale. Proc. VLDB Endow. 13(12): 3285-3298 (2020) - [j4]Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeffrey F. Naughton, Stratis Viglas:
Comprehensive and Efficient Workload Compression. Proc. VLDB Endow. 14(3): 418-430 (2020) - [i5]Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeffrey F. Naughton, Stratis Viglas:
Comprehensive and Efficient Workload Compression. CoRR abs/2011.05549 (2020)
2010 – 2019
- 2019
- [r1]Anja Gruenheid:
Record Linkage. Encyclopedia of Big Data Technologies 2019 - 2018
- [c6]Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CIKM 2018: 2117-2125 - [i4]Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CoRR abs/1802.07398 (2018) - 2016
- [b1]Anja Gruenheid:
Data Integration with Dynamic Data Sources. ETH Zurich, Zürich, Switzerland, 2016 - [i3]Anja Gruenheid, Donald Kossmann, Divesh Srivastava:
Online Event Integration with StoryPivot. CoRR abs/1610.07732 (2016) - 2015
- [j3]Alessandra Loro, Anja Gruenheid, Donald Kossmann, Damien Profeta, Philippe Beaudequin:
Indexing and Selecting Hierarchical Business Logic. Proc. VLDB Endow. 8(12): 1656-1667 (2015) - [c5]Anja Gruenheid:
Modelling the Evolving World. CIDR 2015 - [c4]Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann:
Crowd Access Path Optimization: Diversity Matters. HCOMP 2015: 130-139 - [c3]Anja Gruenheid, Donald Kossmann, Theodoros Rekatsinas, Divesh Srivastava:
StoryPivot: Comparing and Contrasting Story Evolution. SIGMOD Conference 2015: 1415-1420 - [i2]Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann:
Crowd Access Path Optimization: Diversity Matters. CoRR abs/1508.01951 (2015) - [i1]Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann:
Fault-Tolerant Entity Resolution with the Crowd. CoRR abs/1512.00537 (2015) - 2014
- [j2]Anja Gruenheid, Xin Luna Dong, Divesh Srivastava:
Incremental Record Linkage. Proc. VLDB Endow. 7(9): 697-708 (2014) - 2013
- [j1]Anja Gruenheid, Donald Kossmann, Besmira Nushi:
When is A=B? Bull. EATCS 111 (2013) - [c2]Anja Gruenheid, Donald Kossmann:
Cost and Quality Trade-Offs in Crowdsourcing. DBCrowd 2013: 43-46 - 2011
- [c1]Anja Gruenheid, Edward Omiecinski, Leo Mark:
Query optimization using column statistics in hive. IDEAS 2011: 97-105
Coauthor Index
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