| 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 | 1614 | 2016 |
| 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 | 1579 | 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 | 1221 | 2015 |
| GraphX: Graph Processing in a Distributed Dataflow Framework JE Gonzalez, RS Xin, A Dave, D Crankshaw, MJ Franklin, I Stoica OSDI 2014, 2014 | 1060 | 2014 |
| CrowdDB: Answering queries with crowdsourcing M Franklin, D Kossmann, T Kraska, S Ramesh, R Xin SIGMOD 2011, 2011 | 777 | 2011 |
| GraphX: A Resilient Distributed Graph System on Spark RS Xin, JE Gonzalez, MJ Franklin, I Stoica, E AMPLab GRADES (SIGMOD workshop), 2013 | 757 | 2013 |
| Shark: SQL and Rich Analytics at Scale R Xin, J Rosen, M Zaharia, MJ Franklin, S Shenker, I Stoica SIGMOD 2013, 2013 | 554 | 2013 |
| 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 | 172 | 2012 |
| Finding related tables AD Sarma, L Fang, N Gupta, AY Halevy, H Lee, F Wu, R Xin, C Yu | 139 | 2012 |
| 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 | 120 | 2015 |
| 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 | 102 | 2014 |
| The case for tiny tasks in compute clusters K Ousterhout, A Panda, J Rosen, S Venkataraman, R Xin, S Ratnasamy, ... HotOS 13, 2013 | 98 | 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 | 89 | 2018 |
| Fine-grained Partitioning for Aggressive Data Skipping L Sun, MJ Franklin, S Krishnan, RS Xin SIGMOD 2014, 2014 | 77 | 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 | 76 | 2016 |
| SparkR: Scaling R Programs with Spark S Venkataraman, Z Yang, EL Davies Liu, H Falaki, X Meng, R Xin, ... SIGMOD, 2016 | 73 | 2016 |
| CrowdDB: Query Processing with the VLDB Crowd A Feng, M Franklin, D Kossmann, T Kraska, S Madden, S Ramesh, ... VLDB 4 (12), 2011 | 59 | 2011 |
| Spark Satellite Clusters to Hadoop Data Stores R Sriharsha, T Tully, S Rao, R Xin, Y Inc. US Patent App. 14/470,704, 2014 | 33* | 2014 |
| Linkage query writer O Hassanzadeh, R Xin, RJ Miller, A Kementsietsidis, L Lim, M Wang PVLDB 2 (2), 1590-1593, 2009 | 31 | 2009 |
| GraySort on Apache Spark by Databricks R Xin, P Deyhim, A Ghodsi, X Meng, M Zaharia Sort Benchmark, 2014 | 30 | 2014 |
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
