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Michael Armbrust
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2020 – today
- 2023
- [c11]Michael Armbrust, Ali Ghodsi, Reynold Xin, Vuk Ercegovac, Sourav Chatterji, Eun-Gyu Kim, Paul Lappas, Yannis Papakonstantinou, Yingyi Bu, Yuhong Chen, Yijia Cui, Rahul Govind, Aakash Japi, Kiavash Kianfar, Xi Liang, Jon Mio, Mukul Murthy, Supun Nakandala, Andreas Neumann, Nitin Sharma, Yannis Sismanis, Justin Tang, Joseph Torres, Min Yang, Li Zhang, Bilal Aslam:
Making Data Engineering Declarative. CIDR 2023 - 2021
- [c10]Matei Zaharia, Ali Ghodsi, Reynold Xin, Michael Armbrust:
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics. CIDR 2021 - 2020
- [j6]Michael Armbrust, Tathagata Das, Sameer Paranjpye, Reynold Xin, Shixiong Zhu, Ali Ghodsi, Burak Yavuz, Mukul Murthy, Joseph Torres, Liwen Sun, Peter A. Boncz, Mostafa Mokhtar, Herman Van Hovell, Adrian Ionescu, Alicja Luszczak, Michal Switakowski, Takuya Ueshin, Xiao Li, Michal Szafranski, Pieter Senster, Matei Zaharia
:
Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores. Proc. VLDB Endow. 13(12): 3411-3424 (2020)
2010 – 2019
- 2018
- [c9]Michael Armbrust, Tathagata Das, Joseph Torres, Burak Yavuz, Shixiong Zhu, Reynold Xin, Ali Ghodsi, Ion Stoica, Matei Zaharia
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark. SIGMOD Conference 2018: 601-613 - 2017
- [c8]Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica:
Drizzle: Fast and Adaptable Stream Processing at Scale. SOSP 2017: 374-389 - 2016
- [j5]Matei Zaharia
Apache Spark: a unified engine for big data processing. Commun. ACM 59(11): 56-65 (2016) - [c7]Michael Armbrust, Doug Bateman, Reynold Xin, Matei Zaharia
Introduction to Spark 2.0 for Database Researchers. SIGMOD Conference 2016: 2193-2194 - 2015
- [j4]Michael Armbrust, Tathagata Das, Aaron Davidson, Ali Ghodsi, Andrew Or, Josh Rosen, Ion Stoica, Patrick Wendell, Reynold Xin, Matei Zaharia
Scaling Spark in the Real World: Performance and Usability. Proc. VLDB Endow. 8(12): 1840-1843 (2015) - [c6]Kai Zeng
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data. SIGMOD Conference 2015: 913-918 - [c5]Michael Armbrust, Reynold S. Xin, Cheng Lian
Spark SQL: Relational Data Processing in Spark. SIGMOD Conference 2015: 1383-1394 - 2013
- [b1]Michael Armbrust:
Scale-Independent Relational Query Processing. University of California, Berkeley, USA, 2013 - [c4]Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
Generalized scale independence through incremental precomputation. SIGMOD Conference 2013: 625-636 - 2012
- [j3]Michael Armbrust, Yingyi Bu, Aaron J. Elmore
14th International Workshop on High Performance Transaction Systems (HPTS). login Usenix Mag. 37(1) (2012) - 2011
- [j2]Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
PIQL: Success-Tolerant Query Processing in the Cloud. Proc. VLDB Endow. 5(3): 181-192 (2011) - [i2]Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
PIQL: Success-Tolerant Query Processing in the Cloud. CoRR abs/1111.7166 (2011) - 2010
- [j1]Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph
A view of cloud computing. Commun. ACM 53(4): 50-58 (2010) - [c3]Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson:
The case for PIQL: a performance insightful query language. SoCC 2010: 131-136 - [c2]Michael Armbrust, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna:
PIQL: a performance insightful query language. SIGMOD Conference 2010: 1207-1210
2000 – 2009
- 2009
- [c1]Michael Armbrust, Armando Fox, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna, Haruki Oh:
SCADS: Scale-Independent Storage for Social Computing Applications. CIDR 2009 - [i1]Michael Armbrust, Armando Fox, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna, Haruki Oh:
SCADS: Scale-Independent Storage for Social Computing Applications. CoRR abs/0909.1775 (2009)
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