Reynold Xin
Reynold Xin
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Apache Spark: a unified engine for big data processing
M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ...
Communications of the ACM 59 (11), 56-65, 2016
MLlib: Machine Learning in Apache Spark
X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ...
The Journal of Machine Learning Research 17 (1), 1235-1241, 2016
Spark SQL: Relational Data Processing in Spark
M Armbrust, RS Xin, C Lian, Y Huai, D Liu, JK Bradley, X Meng, T Kaftan, ...
SIGMOD 2015, 2015
GraphX: Graph Processing in a Distributed Dataflow Framework
JE Gonzalez, RS Xin, A Dave, D Crankshaw, MJ Franklin, I Stoica
OSDI 2014, 2014
GraphX: A Resilient Distributed Graph System on Spark
RS Xin, JE Gonzalez, MJ Franklin, I Stoica, E AMPLab
GRADES (SIGMOD workshop), 2013
CrowdDB: Answering queries with crowdsourcing
M Franklin, D Kossmann, T Kraska, S Ramesh, R Xin
SIGMOD 2011, 2011
Shark: SQL and Rich Analytics at Scale
R Xin, J Rosen, M Zaharia, MJ Franklin, S Shenker, I Stoica
SIGMOD 2013, 2013
Structured Streaming: A declarative API for real-time applications in Apache Spark
M Armbrust, T Das, J Torres, B Yavuz, S Zhu, R Xin, A Ghodsi, I Stoica, ...
Proceedings of the 2018 International Conference on Management of Data, 601-613, 2018
Lakehouse: a new generation of open platforms that unify data warehousing and advanced analytics
M Armbrust, A Ghodsi, R Xin, M Zaharia
Proceedings of CIDR 8, 28, 2021
Free dolly: Introducing the world’s first truly open instruction-tuned llm
M Conover, M Hayes, A Mathur, J Xie, J Wan, S Shah, A Ghodsi, ...
Company Blog of Databricks, 2023
Shark: fast data analysis using coarse-grained distributed memory
C Engle, A Lupher, R Xin, M Zaharia, MJ Franklin, S Shenker, I Stoica
SIGMOD 2012, 689-692, 2012
Finding related tables.
AD Sarma, L Fang, N Gupta, AY Halevy, H Lee, F Wu, R Xin, C Yu
SIGMOD Conference 10, 2213836.2213962, 2012
Delta Lake: high-performance ACID table storage over cloud object stores
M Armbrust, T Das, L Sun, B Yavuz, S Zhu, M Murthy, J Torres, ...
Proceedings of the VLDB Endowment 13 (12), 3411-3424, 2020
Scaling Spark in the real world: performance and usability
M Armbrust, T Das, A Davidson, A Ghodsi, A Or, J Rosen, I Stoica, ...
Proceedings of the VLDB Endowment 8 (12), 1840-1843, 2015
Fine-grained Partitioning for Aggressive Data Skipping
L Sun, MJ Franklin, S Krishnan, RS Xin
SIGMOD 2014, 2014
GraphX: Unifying data-parallel and graph-parallel analytics
RS Xin, D Crankshaw, A Dave, JE Gonzalez, MJ Franklin, I Stoica
arXiv preprint arXiv:1402.2394, 2014
GraphFrames: an integrated api for mixing graph and relational queries
A Dave, A Jindal, LE Li, R Xin, J Gonzalez, M Zaharia
Proceedings of the Fourth International Workshop on Graph Data Management …, 2016
The case for tiny tasks in compute clusters
K Ousterhout, A Panda, J Rosen, S Venkataraman, R Xin, S Ratnasamy, ...
HotOS 13, 2013
SparkR: Scaling R Programs with Spark
S Venkataraman, Z Yang, EL Davies Liu, H Falaki, X Meng, R Xin, ...
SIGMOD, 2016
CrowdDB: Query Processing with the VLDB Crowd
A Feng, M Franklin, D Kossmann, T Kraska, S Madden, S Ramesh, ...
VLDB 4 (12), 2011
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