matei zaharia h index

Spark: Cluster computing with working sets. and Comput. 10 (4): 884-898 (2013) While at University of California, Berkeley 's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. Learning Spark Karau, Konwinski, Wendell & Zaharia Holden Karau, Andy Konwinski, Patrick Wendell & Matei Zaharia L earning LIGHTNING-FAST DATA ANALYSIS. h-index: 43 | #Paper: 134 | #Citation: 58880 #20 in Database #48 in Computer Systems; Pierre Sermanet. Outline Overview Record encoding Collection storage Indexes CS 245 2. Author pages are created from data sourced from our academic publisher partnerships and public sources. Dacă nu ai în viaţa ta proorocii sau alte daruri dintre cele specificate în I Corinteni 12, nu e nici o problemă; important e să nu lipsească darul specificat în I Corinteni 13. You are currently offline. Matei Zaharia's 87 research works with 26,621 citations and 21,968 reads, including: DIFF: a relational interface for large-scale data explanation by Reza Chowdhury. The system can't perform the operation now. Matei Zaharia s-a născut în România. Dessokey M, Saif S, Salem S, Saad E and Eldeeb H (2021) Memory Management Approaches in Apache Spark: A Review Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020, 10.1007/978-3-030-58669-0_36, (394-403), . Matei Zaharia Hadoop Summit 2011 Spark: In-Memory Cluster Computing - Duration: 30:29. M. Zaharia, T. Das, H. Li, S. Shenker and I. Stoica.Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters, USENIX HotCloud 2012 Google Scholar; Ciyou Zhu, Richard H Byrd, Peihuang Lu, and Jorge Nocedal. To appear at SIGIR 2020. We propose a new processing model, discretized streams (D-Streams), that overcomes these challenges. Matei Zaharia is a Romanian-Canadian computer scientist and the creator of Apache Spark. 30:29. Sciences, University of California …, M Zaharia, M Chowdhury, MJ Franklin, S Shenker, I Stoica. View Matei Zaharia’s profile on LinkedIn, the world’s largest professional community. Semantic Scholar profile for M. Zaharia, with 3754 highly influential citations and 147 scientific research papers. BibTeX @TECHREPORT{Armbrust09abovethe, author = {Michael Armbrust and Armando Fox and Rean Griffith and Anthony D. Joseph and Randy H. Katz and Andrew Konwinski and Gunho Lee and David A. Patterson and Ariel Rabkin and Matei Zaharia}, title = {Above the Clouds: A Berkeley View of Cloud Computing}, institution = {}, year = {2009}} Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. Conținutul cărții Zaharia pe capitole și versete: profetul Zaharia îi îndeamnă pe iudei să înlăture idolii, să se întoarcă la Dumnezeu și la închinarea adevărată. h-index: 18 | #Paper: 32 | #Citation: 28627 #20 in Computer Vision #93 in Machine Learning; Yi Yang. Image courtesy of Matei Zaharia. Matei Zaharia Assistant Professor of Computer Science Bio BIO Homepage: https://cs.stanford.edu/~matei/ ACADEMIC APPOINTMENTS • Assistant Professor, Computer Science • Assistant Professor (By courtesy), Electrical Engineering LINKS •Teaching Matei Zaharia's Homepage: https://cs.stanford.edu/~matei/ COURSES 2020-21 • Principles of Data-Intensive Systems: CS 245 … O. Khattab and M. Zaharia. Skip to search form Skip to main content > Semantic Scholar's Logo. BibTeX @MISC{Zaharia08improvingmapreduce, author = {Matei Zaharia and Andrew Konwinski and Anthony D. Joseph and Randy H. Katz and Ion Stoica}, title = { Improving MapReduce Performance in Heterogeneous Environments}, year = {2008}} Visualize runs with TensorBoard. IEEE Trans Autom. Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia Learning Spark. Mesos: A platform for fine-grained resource sharing in the data center. Timothy Hunter, Tathagata Das, Matei Zaharia, Pieter Abbeel, Alexandre M. Bayen: Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation. Some features of the site may not work correctly. B Hindman, A Konwinski, M Zaharia, A Ghodsi, AD Joseph, RH Katz, ... M Zaharia, D Borthakur, J Sen Sarma, K Elmeleegy, S Shenker, I Stoica, Proceedings of the 5th European conference on Computer systems, 265-278. Matei Zaharia. Matei Zaharia, Ben Hindman, Andy Konwinski, Ali Ghodsi, Anthony Joseph, Randy Katz, Scott Shenker, Ion Stoica HotCloud 2011, Aug. 2011. We propose a new cluster computing framework called Spark that supports applications with working sets while providing the same scalability and fault tolerance properties as MapReduce. Outline Overview Record encoding Collection storage Indexes CS 245 3. Matei Zaharia, … 2020. Yahoo Developer Network 2,819 views. M. Zaharia. Improving MapReduce performance in heterogeneous environments. Join Facebook to connect with Zaharia Matei and others you may know. Above the Clouds: A Berkeley View of Cloud Computing. Publications 147. h-index 42. Matei Zaharia, Mosharaf Chowdhury, Michael J Franklin, Scott Shenker, and Ion Stoica. In this paper we present MLlib, Spark's open-source, By clicking accept or continuing to use the site, you agree to the terms outlined in our. Matei has 3 jobs listed on their profile. Some features of the site may not work correctly. Sci. I need to do a GET call to see it if it is actually there. Instructor: Matei Zaharia cs245.stanford.edu. Spark SQL: Relational Data Processing in Spark. The following articles are merged in Scholar. Presented as part of the 9th {USENIX} Symposium on Networked Systems Design … , 2012 4700 A fancy name for this is Machine Learning Model Management, a vital part of MLOps. I pass in a Integer. We consider the problem of fair resource allocation in a system containing different resource types, where each user may have different demands for each resource. (See Model. Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. We design a new scheduling algorithm, Longest Approximate Time to End (LATE), that is highly robust to heterogeneity. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. In Proceedings of the 2nd USENIX conference on Hot topics in cloud computing, volume 10, page 10, 2010. Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center. Discretized streams: fault-tolerant streaming computation at scale. The Case for Evaluating MapReduce Performance Using … Zaharia H., maxime, pagina 1. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. The ones marked. Matei Zaharia. Matei Zaharia’s Publications Preprints. Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. New black & white serie of Tobias F by Marcel Gon. Matei Zaharia Stanford DAWN Lab and Databricks Verified email at cs.stanford.edu Scott Shenker Professor of Computer Science, UC Berkeley Verified email at icsi.berkeley.edu Tathagata Das Software Engineer at Databricks.com Verified email at databricks.com Matei Zaharia Stanford University matei@cs.stanford.edu ABSTRACT Recent progress in Natural Language Understanding (NLU) is driv-ing fast-paced advances in Information Retrieval (IR), largely owed to •ne-tuning deep language models (LMs) for document ranking. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Proceedings of the 2015 ACM SIGMOD international conference on management of …, A Ghodsi, M Zaharia, B Hindman, A Konwinski, S Shenker, I Stoica, M Zaharia, T Das, H Li, T Hunter, S Shenker, I Stoica, Proceedings of the twenty-fourth ACM symposium on operating systems …, M Zaharia, T Das, H Li, S Shenker, I Stoica, Proceedings of the 4th USENIX conference on Hot Topics in Cloud Computing, 10-10, M Chowdhury, M Zaharia, J Ma, MI Jordan, I Stoica, K Ousterhout, P Wendell, M Zaharia, I Stoica, Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, RS Xin, J Rosen, M Zaharia, MJ Franklin, S Shenker, I Stoica, Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, H Karau, A Konwinski, P Wendell, M Zaharia, M Zaharia, D Borthakur, JS Sarma, K Elmeleegy, S Shenker, I Stoica, Technical Report UCB/EECS-2009-55, EECS Department, University of California …, H Li, A Ghodsi, M Zaharia, S Shenker, I Stoica, Proceedings of the ACM Symposium on Cloud Computing, 1-15. DASH: Data-Aware Shell. The Journal of Machine Learning Research 17 (1), 1235-1241. Matei Zaharia is an assistant professor of computer science at Stanford and Chief Technologist of Databricks, the data analytics and AI company founded by the original creators of Apache Spark. Matei Zaharia et al. You are currently offline. Find my recent preprints on arXiv. Spark: Cluster Computing with Working Sets. Discretized streams: Fault-tolerant streaming computation at scale, Discretized streams: an efficient and fault-tolerant model for stream processing on large clusters, Managing data transfers in computer clusters with orchestra, Sparrow: distributed, low latency scheduling, Learning spark: lightning-fast big data analysis, Job scheduling for multi-user mapreduce clusters, Tachyon: Reliable, memory speed storage for cluster computing frameworks, A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples. Improving MapReduce Performance in Heterogeneous Environments. D. Raghavan, S. Fouladi, P. Levis and M. Zaharia. We present Resilient Distributed Datasets (RDDs), a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner. h-index: 78 | #Paper: 406 | #Citation: 21037 #21 in Multimedia #27 in AAAI/IJCAI; Kun Zhou. In this DSC webinar, Databricks co-founder and Stanford computer science professor Matei Zaharia, who started the Apache Spark project in 2009, will share his perspective on which big data and AI trends will come to fruition in 2018. To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. M Armbrust, A Fox, R Griffith, AD Joseph, R Katz, A Konwinski, G Lee, ... A Fox, R Griffith, A Joseph, R Katz, A Konwinski, G Lee, D Patterson, ... Dept. 2005: M. Thomas (IIT KGP), H. Chopra (IIT B), G. Singh(IIT D), R. Garg (IIT K), R. Jain (IIT B), A. Agarwal (IIT D), Y. Yin, G. Wang (1) Completed Ph.D. with Dr. Robbert van Renesse at Cornell (2) Completed Ph.D. with Prof. George Varghese at UC San Diego (3) Left the Ph.D. program to join Ensim Corp. Clearing the clouds away from the true potential and obstacles posed by this computing capability. Spark: cluster computing with working sets. We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI. Spark SQL is a new module in Apache Spark that integrates relational processing with Spark's functional programming API. View the profiles of people named Zaharia Matei. Zaharia was an undergraduate at the University of Waterloo. Search. Eng. Kubeflow vs mlflow. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. Matei Zaharia este un informatician româno-canadian specializat în big data, sisteme distribuite și cloud computing.El este co-fondator și CTO al Databricks și profesor asistent de informatică la Universitatea Stanford.. Biografie. SN Naccache, S Federman, N Veeraraghavan, M Zaharia, D Lee, ... New articles related to this author's research, Above the clouds: A berkeley view of cloud computing. He started the Spark project in 2009 during his PhD at UC Berkeley. Their, This "Cited by" count includes citations to the following articles in Scholar. NSDI 2011 Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi, Anthony D. Joseph, Randy H. Katz, Scott Shenker, Ion Stoica: Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center. To appear at USENIX ATC 2020. Presented as part of the 9th {USENIX} Symposium on Networked Systems Design …, M Zaharia, A Konwinski, AD Joseph, RH Katz, I Stoica. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. Citations 35,721. He is also a committer on Apache Hadoop and Apache Mesos. Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling, Apache spark: a unified engine for big data processing, Spark sql: Relational data processing in spark. Electrical Eng. Apache Spark: A Unified Engine for Big Data Processing in Communications of the ACM, USA 2016. in Bearbeitung: Ricardo Krause, Sebastian Sidortschuck, Stefan Diermeier Präsentation am 22.01.2018; Aaron van den Oord et al. Matei Zaharia, CTO at Databricks, is the creator of Apache Spark and serves as its Vice President at Apache. Try again later. FAQ About Contact • Sign In Create Free Account. Q4 2019: 12 Largest Global Startup Funding Rounds. Main content > Semantic Scholar is a Free, AI-powered Research tool for scientific literature, at... Resilient distributed datasets: a Berkeley view of cloud computing the true potential and obstacles by. 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