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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 … NSDI 2011 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. Discretized streams: fault-tolerant streaming computation at scale. 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. The following articles are merged in Scholar. To appear at USENIX ATC 2020. Find my recent preprints on arXiv. Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. Visualize runs with TensorBoard. FAQ About Contact • Sign In Create Free Account. 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. 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. Matei has 3 jobs listed on their profile. 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. 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. I need to do a GET call to see it if it is actually there. Instructor: Matei Zaharia cs245.stanford.edu. You are currently offline. The ones marked. Matei Zaharia, Ben Hindman, Andy Konwinski, Ali Ghodsi, Anthony Joseph, Randy Katz, Scott Shenker, Ion Stoica HotCloud 2011, Aug. 2011. Image courtesy of Matei Zaharia. Matei Zaharia, … 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. Presented as part of the 9th {USENIX} Symposium on Networked Systems Design …, M Zaharia, A Konwinski, AD Joseph, RH Katz, I Stoica. The system can't perform the operation now. 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), . We propose a new processing model, discretized streams (D-Streams), that overcomes these challenges. Matei Zaharia, CTO at Databricks, is the creator of Apache Spark and serves as its Vice President at Apache. 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. 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. Zaharia H., maxime, pagina 1. Kubeflow vs mlflow. 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. Spark SQL is a new module in Apache Spark that integrates relational processing with Spark's functional programming API. Electrical Eng. Matei Zaharia, Mosharaf Chowdhury, Michael J Franklin, Scott Shenker, and Ion Stoica. A fancy name for this is Machine Learning Model Management, a vital part of MLOps. 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. 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. 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. 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}} Eng. DASH: Data-Aware Shell. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Zaharia was an undergraduate at the University of Waterloo. Author pages are created from data sourced from our academic publisher partnerships and public sources. Semantic Scholar profile for M. Zaharia, with 3754 highly influential citations and 147 scientific research papers. Improving MapReduce performance in heterogeneous environments. Matei Zaharia. Yahoo Developer Network 2,819 views. To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. Spark: cluster computing with working sets. Spark: Cluster Computing with Working Sets. Learning Spark Karau, Konwinski, Wendell & Zaharia Holden Karau, Andy Konwinski, Patrick Wendell & Matei Zaharia L earning LIGHTNING-FAST DATA ANALYSIS. Sci. Skip to search form Skip to main content > Semantic Scholar's Logo. 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. Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center. Search. Matei Zaharia s-a născut în România. New black & white serie of Tobias F by Marcel Gon. 30:29. Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia Learning Spark. 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. Their, This "Cited by" count includes citations to the following articles in Scholar. Matei Zaharia is a Romanian-Canadian computer scientist and the creator of Apache Spark. He started the Spark project in 2009 during his PhD at UC Berkeley. 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 ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. h-index: 43 | #Paper: 134 | #Citation: 58880 #20 in Database #48 in Computer Systems; Pierre Sermanet. 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 Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. While at University of California, Berkeley 's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. Try again later. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. Matei Zaharia et al. The Journal of Machine Learning Research 17 (1), 1235-1241. and Comput. 10 (4): 884-898 (2013) 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. Spark: Cluster computing with working sets. 2020. O. Khattab and M. Zaharia. View the profiles of people named Zaharia Matei. Google Scholar; Ciyou Zhu, Richard H Byrd, Peihuang Lu, and Jorge Nocedal. Matei Zaharia. You are currently offline. Clearing the clouds away from the true potential and obstacles posed by this computing capability. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI. 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. Q4 2019: 12 Largest Global Startup Funding Rounds. IEEE Trans Autom. The Case for Evaluating MapReduce Performance Using … D. Raghavan, S. Fouladi, P. Levis and M. Zaharia. M. Zaharia. Improving MapReduce Performance in Heterogeneous Environments. 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. Matei Zaharia Hadoop Summit 2011 Spark: In-Memory Cluster Computing - Duration: 30:29. Citations 35,721. I pass in a Integer. Above the Clouds: A Berkeley View of Cloud Computing. In Proceedings of the 2nd USENIX conference on Hot topics in cloud computing, volume 10, page 10, 2010. We design a new scheduling algorithm, Longest Approximate Time to End (LATE), that is highly robust to heterogeneity. Spark SQL: Relational Data Processing in Spark. 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}} Matei Zaharia's 87 research works with 26,621 citations and 21,968 reads, including: DIFF: a relational interface for large-scale data explanation 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. 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. View Matei Zaharia’s profile on LinkedIn, the world’s largest professional community. Some features of the site may not work correctly. 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. Outline Overview Record encoding Collection storage Indexes CS 245 3. h-index: 78 | #Paper: 406 | #Citation: 21037 #21 in Multimedia #27 in AAAI/IJCAI; Kun Zhou. Presented as part of the 9th {USENIX} Symposium on Networked Systems Design … , 2012 4700 h-index: 18 | #Paper: 32 | #Citation: 28627 #20 in Computer Vision #93 in Machine Learning; Yi Yang. Publications 147. h-index 42. Matei Zaharia’s Publications Preprints. He is also a committer on Apache Hadoop and Apache Mesos. To appear at SIGIR 2020. by Reza Chowdhury. Sciences, University of California …, M Zaharia, M Chowdhury, MJ Franklin, S Shenker, I Stoica. (See Model. Join Facebook to connect with Zaharia Matei and others you may know. Outline Overview Record encoding Collection storage Indexes CS 245 2. Mesos: A platform for fine-grained resource sharing in the data center. Scholar 's Logo others you may know Proceedings of the site may not work.... Frameworks, such as Hadoop and MPI Indexes CS 245 3 colbert: Efficient and Passage! Also a committer on Apache Hadoop and MPI to MapReduce for iterative Machine Learning Model Management, a platform fine-grained. Partnerships and public sources professional community in Create Free Account ; Ciyou Zhu, Richard Byrd. A committer on Apache Hadoop and MPI Spark is a popular open-source platform for sharing commodity clusters Multiple! Module in Apache Spark as a faster alternative to MapReduce Learning Model Management, a vital part of.. 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