01211cam0 22002771 450 SOBE0006355320200224111548.0978882881719220200224d2019 |||||ita|0103 baitaITResponsabilità civile per illecito trattamento dei dati personali e danno non patrimonialeoggettivazione del rischio e riemersione del danno morale con funzione deterrente-sanzionatoria alla luce dell'art. 82 GDPREmilio TosiMilanoGiuffrè Francis Lefebvre2019XVII, 305 p.24 cmTemi di diritto privato e di diritto pubblico001SOBE000635542001 *Temi di diritto privato e di diritto pubblicoTosi, EmilioA600200031703070437929ITUNISOB20200224RICAUNISOBUNISOB340172228SOBE00063553M 102 Monografia moderna SBNM340008378SI17222820200204acquistoVmenleUNISOBUNISOB20200224111512.020200224111548.0menleResponsabilità civile per illecito trattamento dei dati personali e danno non patrimoniale1734080UNISOB04692nam 22005415 450 991015873470332120220413190538.010.1007/978-3-319-47431-1(CKB)3710000001008933(DE-He213)978-3-319-47431-1(MiAaPQ)EBC4778941(PPN)198342136(EXLCZ)99371000000100893320170106d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierLarge-scale graph processing using Apache Giraph /by Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXV, 197 p. 102 illus., 87 illus. in color.)3-319-47430-8 3-319-47431-6 1. Introduction -- 2. Getting started with Giraph -- 3. Giraph-In-Action: Implementing Popular Graph Algorithms using Giraph -- 4. Giraph Programming Optimizations: Tips and Tricks -- 5. Similar Systems to Giraph -- 6. Conclusions.This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained.  Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system’s utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.Database managementBig dataData structures (Computer science)Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Big Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Data Structureshttps://scigraph.springernature.com/ontologies/product-market-codes/I15017Database management.Big data.Data structures (Computer science)Database Management.Big Data/Analytics.Data Structures.005.74Sakr Sherifauthttp://id.loc.gov/vocabulary/relators/aut866736Orakzai Faisal Moeenauthttp://id.loc.gov/vocabulary/relators/autAbdelaziz Ibrahimauthttp://id.loc.gov/vocabulary/relators/autKhayyat Zuhairauthttp://id.loc.gov/vocabulary/relators/autBOOK9910158734703321Large-Scale Graph Processing Using Apache Giraph1934710UNINA