PPT-Webinar: From Hadoop to Spark

Introduction Hadoop and Spark Comparison From Hadoop to Spark Webinar Objectives Intro what is Hadoop and what is Spark Sparks capabilities and advantages vs Hadoop From Hadoop to Spark how to. Mayuresh . Kunjir. Modern Data Analytics Frameworks. Process external data. Great for unstructured data. Easy to scale out. Suited for Cloud infrastructure. Fast recovery. Suited for commodity nodes. (and Friends). Peter Bailis. Stanford CS245. (with slides from . Matei. . Zaharia. + . Mu Li). CS 245. Notes . 12. Previous Outline. Replication Strategies. Partitioning Strategies. AC & 2PC. CAP. Hadon’t. Saqib Mustafa. Webinar Series 2016. How Hadoop is used. Friction free data loading repository . Easy loading of data in HDFS. Easy scaling up. Scaling down can be an issue. Scalable engine for data transformation. Presentation to the Manchester Data Science club. 14 July 2016. Peter Smyth. UK Data Service. The challenges of building and populating a secure but accessible big data environment for researchers in the Social Sciences and related disciplines.. October 12, . 2017. Bridges and Clouds. © 2017 Pittsburgh Supercomputing Center. Support for cloud-like services on Bridges. HPCaaS. , . BDaaS. , and (coming) . AIaaS. , particularly through gateways. (with thanks to . Paco. Nathan and . Databricks. ). Quick Demo. Quick Demo. API Hooks. Scala. / Java. All Java libraries. *.jar. http://www.scala-lang.org. Python. Anaconda: . https://store.continuum.io/cshop/anaconda. . Donald E. Knuth, . Literate Programming. , 1984. Drivers. 2. Central activity. 3. Dominant logics. 4. Economy. Subsistence. Agricultural. Industrial. Service. Sustainable. Question. How to survive?. Why Do I Care?. Some Companies Using Spark. Alibaba. Amazon. Baidu. Berkeley AMPLab. CERN. Concur. Databricks. eBay. Facebook. NASA JPL. Opentable. Tencent. TripAdvisor. Some Things You Can Do With Spark. Ph no. 7 395899448 - 602002 We offer : About Us : Zeyobron Analytics was established by a team of Big Data Enthusiasts and experts in the year 2018. Currently, it is one of the leading and paramount Mayuresh . Kunjir. Modern Data Analytics Frameworks. Process external data. Great for unstructured data. Easy to scale out. Suited for Cloud infrastructure. Fast recovery. Suited for commodity nodes. Spark est un moteur de traitement de donn233es rapide d233di233 au big data. Tr232s en vogue depuis quelques ann233es il permet de traiter de gros volumes de donn233es de mani232re distribu233e. Gr226ce 224 sa vitesse, 224 sa simplicit233 d\'usage et 224 la vari233t233 de ses biblioth232ques d\'algorithmes, il est de plus en plus utilis233 pour les applications de machine learning.Ce manuel de prise en main pr233sente quatre des cinq modules de Spark. L\'auteur a fait le choix du langage Python qui convient mieux aux d233butants.Son objectif est de permettre au lecteur d\'installer et d\'utiliser Spark de mani232re autonome, de comprendre les concepts du machine learning et d\'en ma238triser les bonnes pratiques.L\'ouvrage est compl233t233 par de nombreux compl233ments en ligne accessibles sur GitHub. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. e. . S. p. ark. P. ac. o. . N. a. th. a. n. h. tt. p. :. //. d. ata. b. r. i. cks. .. c. o. m. /. In. t. r. o. d. u. c. t. i. o. n. 00. :. . G. e. tt. i. n. g. . S. t. a. r. t. e. d. i. n. s. t. a. and Use Cases for Data Analysis. Afzal Godil. Information Access Division, ITL, NIST. Outline. Growth of big datasets. I. ntroduction to Apache . Hadoop. and Spark for developing applications . Components of Hadoop, HDFS, MapReduce and .