Third-Party Apps and Tools Integration with AWS
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Semantics Developer's Guide
MarkLogic Server Semantic Graph Developer’s Guide 2 MarkLogic 10 May, 2019 Last Revised: 10.0-8, October, 2021 Copyright © 2021 MarkLogic Corporation. All rights reserved. MarkLogic Server MarkLogic 10—May, 2019 Semantic Graph Developer’s Guide—Page 2 MarkLogic Server Table of Contents Table of Contents Semantic Graph Developer’s Guide 1.0 Introduction to Semantic Graphs in MarkLogic ..........................................11 1.1 Terminology ..........................................................................................................12 1.2 Linked Open Data .................................................................................................13 1.3 RDF Implementation in MarkLogic .....................................................................14 1.3.1 Using RDF in MarkLogic .........................................................................15 1.3.1.1 Storing RDF Triples in MarkLogic ...........................................17 1.3.1.2 Querying Triples .......................................................................18 1.3.2 RDF Data Model .......................................................................................20 1.3.3 Blank Node Identifiers ..............................................................................21 1.3.4 RDF Datatypes ..........................................................................................21 1.3.5 IRIs and Prefixes .......................................................................................22 1.3.5.1 IRIs ............................................................................................22 -
Towards Data Handling Requirements-Aware Cloud Computing
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Publikationsserver der RWTH Aachen University Towards Data Handling Requirements-aware Cloud Computing Martin Henze, Marcel Großfengels, Maik Koprowski, Klaus Wehrle Communication and Distributed Systems, RWTH Aachen University, Germany Email: fhenze,grossfengels,koprowski,[email protected] S S S S Abstract—The adoption of the cloud computing paradigm is S S S S hindered by severe security and privacy concerns which arise when outsourcing sensitive data to the cloud. One important S S S S group are those concerns regarding the handling of data. On the one hand, users and companies have requirements how S S S S their data should be treated. On the other hand, lawmakers impose requirements and obligations for specific types of data. These requirements have to be addressed in order to enable the affected users and companies to utilize cloud computing. Figure 1. Intercloud Scenario However, we observe that current cloud offers, especially in an intercloud setting, fail to meet these requirements. Users have no way to specify their requirements for data handling data, especially to the cloud. These requirements typically in the cloud and providers in the cloud stack – even if they restrict, e.g., how long and where a specific piece of data were willing to meet these requirements – can thus not treat might be stored. However, in current cloud offers it is the data adequately. In this paper, we identify and discuss the impossible to meet these requirements adequately [9], as challenges for enabling data handling requirements awareness users cannot specify their requirements and cloud providers in the (inter-)cloud. -
Content Processing Framework Guide (PDF)
MarkLogic Server Content Processing Framework Guide 2 MarkLogic 9 May, 2017 Last Revised: 9.0-7, September 2018 Copyright © 2019 MarkLogic Corporation. All rights reserved. MarkLogic Server Version MarkLogic 9—May, 2017 Page 2—Content Processing Framework Guide MarkLogic Server Table of Contents Table of Contents Content Processing Framework Guide 1.0 Overview of the Content Processing Framework ..........................................7 1.1 Making Content More Useful .................................................................................7 1.1.1 Getting Your Content Into XML Format ....................................................7 1.1.2 Striving For Clean, Well-Structured XML .................................................8 1.1.3 Enriching Content With Semantic Tagging, Metadata, etc. .......................8 1.2 Access Internal and External Web Services ...........................................................8 1.3 Components of the Content Processing Framework ...............................................9 1.3.1 Domains ......................................................................................................9 1.3.2 Pipelines ......................................................................................................9 1.3.3 XQuery Functions and Modules .................................................................9 1.3.4 Pre-Commit and Post-Commit Triggers ...................................................10 1.3.5 Creating Custom Applications With the Content Processing Framework 11 1.4 -
Access Control Models for XML
Access Control Models for XML Abdessamad Imine Lorraine University & INRIA-LORIA Grand-Est Nancy, France [email protected] Outline • Overview on XML • Why XML Security? • Querying Views-based XML Data • Updating Views-based XML Data 2 Outline • Overview on XML • Why XML Security? • Querying Views-based XML Data • Updating Views-based XML Data 3 What is XML? • eXtensible Markup Language [W3C 1998] <files> "<record>! ""<name>Robert</name>! ""<diagnosis>Pneumonia</diagnosis>! "</record>! "<record>! ""<name>Franck</name>! ""<diagnosis>Ulcer</diagnosis>! "</record>! </files>" 4 What is XML? • eXtensible Markup Language [W3C 1998] <files>! <record>! /files" <name>Robert</name>! <diagnosis>! /record" /record" Pneumonia! </diagnosis> ! </record>! /name" /diagnosis" <record …>! …! </record>! Robert" Pneumonia" </files>! 5 XML for Documents • SGML • HTML - hypertext markup language • TEI - Text markup, language technology • DocBook - documents -> html, pdf, ... • SMIL - Multimedia • SVG - Vector graphics • MathML - Mathematical formulas 6 XML for Semi-Structered Data • MusicXML • NewsML • iTunes • DBLP http://dblp.uni-trier.de • CIA World Factbook • IMDB http://www.imdb.com/ • XBEL - bookmark files (in your browser) • KML - geographical annotation (Google Maps) • XACML - XML Access Control Markup Language 7 XML as Description Language • Java servlet config (web.xml) • Apache Tomcat, Google App Engine, ... • Web Services - WSDL, SOAP, XML-RPC • XUL - XML User Interface Language (Mozilla/Firefox) • BPEL - Business process execution language -
Cloud Computing Parallel Session Cloud Computing
Cloud Computing Parallel Session Jean-Pierre Laisné Open Source Strategy Bull OW2 Open Source Cloudware Initiative Cloud computing -Which context? -Which road map? -Is it so cloudy? -Openness vs. freedom? -Opportunity for Europe? Cloud in formation Source: http://fr.wikipedia.org/wiki/Fichier:Clouds_edited.jpg ©Bull, 2 ITEA2 - Artemis: Cloud Computing 2010 1 Context 1: Software commoditization Common Specifications Not process specific •Marginal product •Economies of scope differentiation Offshore •Input in many different •Recognized quality end-products or usage standards •Added value is created •Substituable goods downstream Open source •Minimize addition to end-user cost Mature products Volume trading •Marginal innovation Cloud •Economies of scale •Well known production computing •Industry-wide price process levelling •Multiple alternative •Additional margins providers through additional volume Commoditized IT & Internet-based IT usage ©Bull, 3 ITEA2 - Artemis: Cloud Computing 2010 Context 2: The Internet is evolving ©Bull, 4 ITEA2 - Artemis: Cloud Computing 2010 2 New trends, new usages, new business -Apps vs. web pages - Specialized apps vs. HTML5 - Segmentation vs. Uniformity -User “friendly” - Pay for convenience -New devices - Phones, TV, appliances, etc. - Global economic benefits of the Internet - 2010: $1.5 Trillion - 2020: $3.8 Trillion Information Technology and Innovation Foundation (ITIF) Long live the Internet ©Bull, 5 ITEA2 - Artemis: Cloud Computing 2010 Context 3: Cloud on peak of inflated expectations According to -
"SOLIZE India Technologies Private Limited" 56553102 .FABRIC 34354648 @Fentures B.V
Erkende referenten / Recognised sponsors Arbeid Regulier en Kennismigranten / Regular labour and Highly skilled migrants Naam bedrijf/organisatie Inschrijfnummer KvK Name company/organisation Registration number Chamber of Commerce "@1" special projects payroll B.V. 70880565 "SOLIZE India Technologies Private Limited" 56553102 .FABRIC 34354648 @Fentures B.V. 82701695 01-10 Architecten B.V. 24257403 100 Grams B.V. 69299544 10X Genomics B.V. 68933223 12Connect B.V. 20122308 180 Amsterdam BV 34117849 1908 Acquisition B.V. 60844868 2 Getthere Holding B.V. 30225996 20Face B.V. 69220085 21 Markets B.V. 59575417 247TailorSteel B.V. 9163645 24sessions.com B.V. 64312100 2525 Ventures B.V. 63661438 2-B Energy Holding 8156456 2M Engineering Limited 17172882 30MHz B.V. 61677817 360KAS B.V. 66831148 365Werk Contracting B.V. 67524524 3D Hubs B.V. 57883424 3DUniversum B.V. 60891831 3esi Netherlands B.V. 71974210 3M Nederland B.V. 28020725 3P Project Services B.V. 20132450 4DotNet B.V. 4079637 4People Zuid B.V. 50131907 4PS Development B.V. 55280404 4WEB EU B.V. 59251778 50five B.V. 66605938 5CA B.V. 30277579 5Hands Metaal B.V. 56889143 72andSunny NL B.V. 34257945 83Design Inc. Europe Representative Office 66864844 A. Hak Drillcon B.V. 30276754 A.A.B. International B.V. 30148836 A.C.E. Ingenieurs en Adviesbureau, Werktuigbouw en Electrotechniek B.V. 17071306 A.M. Best (EU) Rating Services B.V. 71592717 A.M.P.C. Associated Medical Project Consultants B.V. 11023272 A.N.T. International B.V. 6089432 A.S. Watson (Health & Beauty Continental Europe) B.V. 31035585 A.T. Kearney B.V. -
Appscale: Open-Source Platform-As-A-Service
AppScale: Open-Source Platform-As-A-Service Chandra Krintz Chris Bunch Navraj Chohan Computer Science Department University of California Santa Barbara, CA USA UCSB Technical Report #2011-01 January 2011 ABSTRACT In this paper we overview AppScale, an open source cloud platform. AppScale is a distributed and scalable cloud runtime system that executes cloud applications in public, private, and hybrid cloud settings. AppScale implements a set of APIs in support of common and popular cloud services and functionality. This set includes those defined by the Google App Engine public cloud as well as those for large-scale data analytics and high-performance computing. Our goal with AppScale is to enable research and experimentation into cloud computing and to facilitate a ``write once, run anywhere'' programming model for the cloud, i.e., to expedite portable application development and deployment across disparate cloud fabrics. In this work, we describe the current AppScale APIs and the ways in which users can deploy AppScale clouds and applications in public and private settings. In addition, we describe the internals of the system to give insight into how developers can investigate and extend AppScale as part of research and development on next-generation cloud software and services. INTRODUCTION AppScale is a scalable, distributed, and fault-tolerant cloud runtime system that we have developed at the University of California, Santa Barbara as part of our research into the next generation of programming systems (Chohan, et al., 2009; Bunch, et al., 2010; Bunch (2) et.al, 2010). In particular, AppScale is a cloud platform, i.e. a platform-as-a-service (PaaS) cloud fabric that executes over cluster resources. -
Quarterly Enterprise Software Market Review 1Q 2019
Quarterly Enterprise Software Market Review 1Q 2019 Boston San Francisco 200 Clarendon Street, Floor 45 601 Montgomery Street, Suite 2010 Boston, MA 02116 San Francisco, CA 94111 Peter M. Falvey Michael H.M. Shea Christopher J. Pingpank Michael S. Barker Managing Director Managing Director Managing Director Managing Director 617.896.2251 617.896.2255 617.896.2218 415.762.8101 [email protected] [email protected] [email protected] [email protected] Jeffrey G. Cook Brad E. McCarthy Misha Cvetkovic Principal Principal Vice President 617.896.2252 617.896.2245 415.762.8104 [email protected] [email protected] [email protected] www.shea-co.com Member FINRA & SIPC Copyright ©2019 Shea & Company Overview People ▪ Industry Expertise ▪ Process Excellence 1 2 24 15+ >70 Firm focused exclusively Offices in Boston and San Professionals focused on Years of experience Transactions completed on enterprise software Francisco the software industry amongst our senior representing billions of bankers dollars in value Mergers & Acquisitions Private Placements & Capital Raising Corporate Strategy ■ Sell-side and buy-side M&A advisory ■ Late-stage venture, growth equity and buyouts ■ Corporate development advisory ■ Divestitures ■ Recapitalizations ■ Balance sheet and capital structure review ■ Restructuring ■ IPO advisory ■ Fairness opinions has received an investment from has received an investment from Superior Outcomes has been acquired by has acquired Shea & Company has advised on important transactions representing billions of dollars in -
Cloud Native Go
Cloud Native Go Building Web Applications and Microservices for the Cloud with Go and React Kevin Hoffman Dan Nemeth AAddison-Wesley Boston • Columbus • Indianapolis • New York • San Francisco • Amsterdam • Cape Town Dubai • London • Madrid • Milan • Munich • Paris • Montreal • Toronto • Delhi Mexico City • Sao Paulo • Sidney • Hong Kong • Seoul • Singapore • Taipei • Tokyo Contents at a Glance 1 The Way of the Cloud 1 2 Getting Started ll 3 Go Primer 17 4 Delivering Continuously 35 5 Building Microservices in Go 53 6 Using Backing Services 71 7 Creating a Data Service 95 8 Event Sourcing and CQRS 113 9 Building a Web Application with Go 137 10 Security in the Cloud 151 11 Working with WebSockets 167 12 Building Web Views with React 177 13 Creating Ills that Scale with Flux 195 14 Creating a Full Application—World of FluxCraft 209 15 Conclusion 223 A Troubleshooting Cloud Applications 227 Index 231 NOTE: To register this product and gain access to bonus content, go to www.informit.com/register to sign in and enter the ISBN. After you register the product, a link to the additional content will be listed on your Account page, under Registered Products. Contents 1 The Way of the Cloud 1 The Virtues of the Way of the Cloud 2 Favor Simplicity 2 Test First, Test Everything 3 Release Early, Release Often 5 Automate Everything 6 Build Service Ecosystems 7 Why Use Go? 8 Simplicity 8 Open Source 8 Easy Automation and IDE Freedom 9 Summary 9 2 Getting Started 11 The Right Tools for the Job 11 Setting Up Git 12 Installing Homebrew 12 Installing the -
Efficient Iot Application Delivery and Management in Smart City
Efficient IoT Application Delivery and Management in Smart City Environments DISSERTATION zur Erlangung des akademischen Grades Doktor der technischen Wissenschaften eingereicht von Michael Vögler Matrikelnummer 0625617 an der Fakultät für Informatik der Technischen Universität Wien Betreuung: Univ.Prof. Schahram Dustdar Diese Dissertation haben begutachtet: (Univ.Prof. Schahram Dustdar) (Prof. Frank Leymann) Wien, 11.04.2016 (Michael Vögler) Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Efficient IoT Application Delivery and Management in Smart City Environments DISSERTATION submitted in partial fulfillment of the requirements for the degree of Doktor der technischen Wissenschaften by Michael Vögler Registration Number 0625617 to the Faculty of Informatics at the TU Wien Advisor: Univ.Prof. Schahram Dustdar The dissertation has been reviewed by: (Univ.Prof. Schahram Dustdar) (Prof. Frank Leymann) Wien, 11.04.2016 (Michael Vögler) Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Erklärung zur Verfassung der Arbeit Michael Vögler Macholdastraße 24/4/79, 1100 Wien Hiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die ver- wendeten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit - einschließlich Tabellen, Karten und Abbildungen -, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. (Ort, Datum) (Unterschrift Verfasser) i Acknowledgements This work was partly supported by the Pacific Controls Cloud Computing Lab (PC3L)1, a joint lab between Pacific Controls L.L.C., Scheikh Zayed Road, Dubai, United Arab Emirates and the Distributed Systems Group of the TU Wien. -
Multi-Model Databases: a New Journey to Handle the Variety of Data
0 Multi-model Databases: A New Journey to Handle the Variety of Data JIAHENG LU, Department of Computer Science, University of Helsinki IRENA HOLUBOVA´ , Department of Software Engineering, Charles University, Prague The variety of data is one of the most challenging issues for the research and practice in data management systems. The data are naturally organized in different formats and models, including structured data, semi- structured data and unstructured data. In this survey, we introduce the area of multi-model DBMSs which build a single database platform to manage multi-model data. Even though multi-model databases are a newly emerging area, in recent years we have witnessed many database systems to embrace this category. We provide a general classification and multi-dimensional comparisons for the most popular multi-model databases. This comprehensive introduction on existing approaches and open problems, from the technique and application perspective, make this survey useful for motivating new multi-model database approaches, as well as serving as a technical reference for developing multi-model database applications. CCS Concepts: Information systems ! Database design and models; Data model extensions; Semi- structured data;r Database query processing; Query languages for non-relational engines; Extraction, trans- formation and loading; Object-relational mapping facilities; Additional Key Words and Phrases: Big Data management, multi-model databases, NoSQL database man- agement systems. ACM Reference Format: Jiaheng Lu and Irena Holubova,´ 2019. Multi-model Databases: A New Journey to Handle the Variety of Data. ACM CSUR 0, 0, Article 0 ( 2019), 38 pages. DOI: http://dx.doi.org/10.1145/0000000.0000000 1. -
Syllabus for M.Sc. Part I (Semester I and II) Programme: M.Sc
Academic Council: 26/07/2019 Item No: 4.76 UNIVERSITY OF MUMBAI Syllabus for M.Sc. Part I (Semester I and II) Programme: M.Sc. Subject: Information Technology (Choice Based Credit System with effect from the academic year 2019 – 2020) Semester – I Course Code Course Title Credits PSIT101 Research in Computing 4 PSIT102 Data Science 4 PSIT103 Cloud Computing 4 PSIT104 Soft Computing Techniques 4 PSIT1P1 Research in Computing Practical 2 PSIT1P2 Data Science Practical 2 PSIT1P3 Cloud Computing Practical 2 PSIT1P4 Soft Computing Techniques Practical 2 Total Credits 24 Semester – II Course Code Course Title Credits PSIT201 Big Data Analytics 4 PSIT202 Modern Networking 4 PSIT203 Microservices Architecture 4 PSIT204 Image Processing 4 PSIT2P1 Big Data Analytics Practical 2 PSIT2P2 Modern Networking Practical 2 PSIT2P3 Microservices Architecture Practical 2 PSIT2P4 Image Processing Practical 2 Total Credits 24 2 Program Specific Outcomes PSO1: Ability to apply the knowledge of Information Technology with recent trends alignedwith research and industry. PSO2: Ability to apply IT in the field of Computational Research, Soft Computing, Big Data Analytics, Data Science, Image Processing, Artificial Intelligence, Networking and Cloud Computing. PSO3: Ability to provide socially acceptable technical solutions in the domains of Information Security, Machine Learning, Internet of Things and Embedded System, Infrastructure Services as specializations. PSO4: Ability to apply the knowledge of Intellectual Property Rights, Cyber Laws and Cyber Forensics and various standards in interest of National Security and Integrity along with IT Industry. PSO5: Ability to write effective project reports, research publications and content development and to work in multidisciplinary environment in the context of changing technologies.