Model Migration Approach for Database Preservation
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Solutions for the Chora of Metaponto Publication Series
Preserving an Evolving Collection: “On-The-Fly” Solutions for The Chora of Metaponto Publication Series Jessica Trelogan Maria Esteva Lauren M. Jackson Institute of Classical Archaeology Texas Advanced Computing Center Institute of Classical Archaeology University of Texas at Austin University of Texas at Austin University of Texas at Austin 3925 W. Braker Lane J.J. Pickle Research Campus 3925 W. Braker Lane +1 (512) 232-9317 +1 (512) 475-9411 +1 (512) 232-9322 [email protected] [email protected] [email protected] ABSTRACT research in this way, complex technical infrastructures and As digital scholarship continues to transform research, so it services are needed to support and provide fail-safes for data and changes the way we present and publish it. In archaeology, this multiple, simultaneous functions throughout a project’s lifecycle. has meant a transition from the traditional print monograph, Storage, access, analysis, presentation, and preservation must be representing the “definitive” interpretation of a site or landscape, managed in a non-static, non-linear fashion within which data to an online, open, and interactive model in which data collections evolve into a collection as research progresses. In this context, have become central. Online representations of archaeological data curation happens while research is ongoing, rather than at the research must achieve transparency, exposing the connections tail end of the project, as is often the case. Such data curation may between fieldwork and research methods, data objects, metadata, be accomplished within a distributed computational environment, and derived conclusions. Accomplishing this often requires as researchers use storage, networking, database, and web multiple platforms that can be burdensome to integrate and publication services available across one or multiple institutions. -
Database Preservation DPC Training Course
Database preservation DPC training course Practical session (advanced) Resolution www.keep.pt Activities on DBPTK Desktop www.keep.pt Click here to start the process of create a SIARD file 1. Select the DBMS on the left sidebar 2. Test the connection to panel and fill up ensure that you have the the connection right information form 3. Click Next to continue the process Click sakila to show the tables and views for that schema Select the tables: actor, category, film, film_actor, film_category and language Select the views: film_list and nicer_but_slower_film_list Materialize the nicer_but_slower_film_list 1. Remove the last_update column from each previous selected table 2. Click Next to continue the process 2. Save the query 1. Fill up the query text area and test the query Click Next to continue the process Click Skip to continue the process 1. Select the destination folder 2. Choose compress checkbox (this will reduce the size of the SIARD file) 3. Choose to save LOBs outside the SIARD file 4. Hit Next to continue the process 1. Fill up metadata information about the SIARD file 2. Click Create to start the migration process Wait for the process to finish, this may take a while, depending on the machine specs and total size of the database Click on Cancel Activities on DBPTK Enterprise www.keep.pt Do an advanced search and save it www.keep.pt Click on Login Choose the database Click Browse 2. Click on 1. Choose a advanced and table fill up the search criteria 3. Click on save search Click on save search Hide the table film_text and the store table www.keep.pt Click on Configuration Click on Manage tables 1. -
Data Migration
Data Migration DISSECTING THE WHAT, THE WHY, AND THE HOW 02 Table of Contents The What 04 What Is Data Migration? 05 Types of Data Migration 05 Database Migration 05 Application Migration 05 Storage Migration 06 Cloud Migration 06 The Why 07 Situations That Prompt Data Migration 08 Challenges in Data Migration 08 1. The Complexity of Source Data 08 2. Loss of Data or Corrupt Data 08 3. Need for In-Depth Testing and Validation 08 Factors that Impact the Success of a Data Migration Process 09 Is Your Migration Project Getting the Attention It Needs? 09 Thoroughly Understand the Design Requirements 09 Budget for the Field Expert 10 Collaborate with the End Users 10 Migration Isn’t Done in OneGo 10 Backup Source Data 10 Migration Doesn’t Make Old Systems Useless 11 Plan for the Future 11 The How 12 Data Migration Techniques 13 Extract, Load, Transform (ETL) 14 The 7 R’s of Data Migration 14 Data Migration Tools 14 Finding the Right Migration Software – Features to Consider 15 Easy Data Mapping 15 Advanced Data Integration and Transformation Capabilities 15 Enhanced Connectivity 15 Automated Data Migration 15 Planning to Migrate? Steps to A Successful Enterprise Data Migration 16 1. Design a Strategy 16 2. Assess and Analyze 16 3. Collect and Cleanse Data 16 4. Sort Data 17 5. Validate Data 18 6. Migrate 19 Conclusion 20 Astera Centerprise – Making the Data Migration Process Painless 21 About Astera Software 22 03 Summary With data of varying formats pouring in from different systems, the existing system may require an upgrade to a larger server. -
Install and Setup Guide for Cisco Security MARS Release 5.3.X March 2008
Install and Setup Guide for Cisco Security MARS Release 5.3.x March 2008 Americas Headquarters Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA http://www.cisco.com Tel: 408 526-4000 800 553-NETS (6387) Fax: 408 527-0883 Customer Order Number: Text Part Number: OL-14672-01 THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUT ARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS. THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE. IF YOU ARE UNABLE TO LOCATE THE SOFTWARE LICENSE OR LIMITED WARRANTY, CONTACT YOUR CISCO REPRESENTATIVE FOR A COPY. The Cisco implementation of TCP header compression is an adaptation of a program developed by the University of California, Berkeley (UCB) as part of UCB’s public domain version of the UNIX operating system. All rights reserved. Copyright © 1981, Regents of the University of California. NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS” WITH ALL FAULTS. CISCO AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE. IN NO EVENT SHALL CISCO OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF CISCO OR ITS SUPPLIERS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. -
File Format Guidelines for Management and Long-Term Retention of Electronic Records
FILE FORMAT GUIDELINES FOR MANAGEMENT AND LONG-TERM RETENTION OF ELECTRONIC RECORDS 9/10/2012 State Archives of North Carolina File Format Guidelines for Management and Long-Term Retention of Electronic records Table of Contents 1. GUIDELINES AND RECOMMENDATIONS .................................................................................. 3 2. DESCRIPTION OF FORMATS RECOMMENDED FOR LONG-TERM RETENTION ......................... 7 2.1 Word Processing Documents ...................................................................................................................... 7 2.1.1 PDF/A-1a (.pdf) (ISO 19005-1 compliant PDF/A) ........................................................................ 7 2.1.2 OpenDocument Text (.odt) ................................................................................................................... 3 2.1.3 Special Note on Google Docs™ .......................................................................................................... 4 2.2 Plain Text Documents ................................................................................................................................... 5 2.2.1 Plain Text (.txt) US-ASCII or UTF-8 encoding ................................................................................... 6 2.2.2 Comma-separated file (.csv) US-ASCII or UTF-8 encoding ........................................................... 7 2.2.3 Tab-delimited file (.txt) US-ASCII or UTF-8 encoding .................................................................... 8 2.3 -
Curriculum Vitae KEITH W
Curriculum Vitae KEITH W. KINTIGH September 29, 2017 PERSONAL INFORMATION School of Human Evolution & Social Change Telephone: (480) 965-6909 (Office) Arizona State University 965-6213 (Department) Box 872402 965-7671 (Fax) Tempe, Arizona 85287-2402 Email: [email protected] Web pages: http://shesc.asu.edu/kintigh (SHESC Web Page) http://tdar.org; http://digitalantiquity.org (tDAR and Digital Antiquity Pages) http://tfqa.com (Tools for Quantitative Archaeology) EDUCATION, DEGREES, & PROFESSIONAL REGISTRATION PhD Anthropology University of Michigan 1982 MS Computer Science Stanford University 1974 AB Sociology (with honors) Stanford University 1974 RPA Registered Professional Archaeologist 1998 Area of Expertise: Archaeology Theoretical and Methodological Interests: Data Integration, Synthesis, and Digital Archiving; Middle- range Societies; Political Organization; Quantitative Analysis of Archaeological Data; Spatial Analysis Areal Focus: Southwestern U.S. ACADEMIC AND RESEARCH APPOINTMENTS AND HONORS 2014- Co-director, Center for Archaeology and Society, Arizona State University 2010- Senior Sustainability Scientist, Global Institute of Sustainability, Arizona State University 2008- Associate Director, School of Human Evolution & Social Change, Arizona State University 2008-10 Affiliated Faculty, School of Computing and Informatics, Arizona State University 2006-10 Affiliated Faculty, School of Sustainability, Arizona State University 2004 Arizona State University Outstanding Graduate Mentor. Graduate College, Arizona State University 1995- Professor, Department of Anthropology/School of Human Evolution & Social Change, Arizona State University 1987-95 Associate Professor, Department of Anthropology, Arizona State University 1986-95 Research Associate, Pueblo of Zuni, New Mexico. 1986-87 Associate Professor, Department of Anthropology, University of California, Santa Barbara. 1985-86 Assistant Professor, Department of Anthropology, University of California, Santa Barbara. 1980-85 Associate Archaeologist, Arizona State Museum, University of Arizona. -
Unisys to AWS Reference Architecture
Unisys to AWS Reference Architecture Astadia Mainframe-to-Cloud Modernization Series Unisys to AWS Reference Architecture Abstract In businesses today, across all market segments, cloud computing has become the focus of current and future technology needs for the enterprise. The cloud offers compelling economics, the latest technologies and platforms, and the agility to adapt your information systems quickly and efficiently. However, many large organizations are burdened by much older, previous generation platforms, typically in the form of a mainframe computing environment. Although old and very expensive to maintain, the mainframe platform continues to run the most important information systems of an organization. The purpose of this reference architecture is to assist business and IT professionals as they prepare plans and project teams to start the process of moving mainframe-based application portfolios to Amazon Web Services (AWS). We will also share various techniques and methodologies that may be used in forming a complete and effective Legacy Modernization plan. In this document, we will explore: Why modernize a mainframe The challenges associated with mainframe modernization An overview of the Unisys mainframe The Unisys to AWS Reference Architecture An overview of AWS services A look at the Astadia Success Methodology This document is part of the Astadia Mainframe to Cloud Modernization Series that leverages Astadia’s 25+ years of mainframe platform modernization expertise. © 2017 Astadia. Inc. - All rights reserved. 12724 Gran Bay Parkway, Suite 300 Jacksonville, FL 32258 All other copyrights and trademarks the property of their respective owners. Unisys to AWS Reference Architecture Contents Introduction ............................................................................................................................ 1 Why Should We Migrate Our Mainframe Apps to AWS? ........................................................ -
Preserving Geospatial Data
Technology Watch Report Preserving Geospatial Data Guy McGarva EDINA, University of Edinburgh Steve Morris North Carolina State University (NCSU) Greg Janée University of California, Santa Barbara (UCSB) DPC Technology Watch Series Report 09-01 May 2009 © 2009 1 Executive Summary: Geospatial data are becoming an increasingly important component in decision making processes and planning efforts across a broad range of industries and information sectors. The amount and variety of data is rapidly increasing and, while much of this data is at risk of being lost or becoming unusable, there is a growing recognition of the importance of being able to access historical geospatial data, now and in the future, in order to be able to examine social, environmental and economic processes and changes that occur over time. The geospatial domain is characterized by a broad range of information types, including geographic information systems data, remote sensing imagery, three- dimensional representations and other location-based information. The scope of this report is limited to two-dimensional geospatial data and data that would typically be considered comparable to paper maps or charts including vector data, raster data and spatial databases. There are a number of significant preservation issues that relate specifically to geospatial data, including: the complexity and variety of data formats and structures; the abundance of content that exists in proprietary formats; the need to maintain the technical and social contexts in which the data exists; and the growing importance of web services and dynamic (and ephemeral) data. Standards for geospatial metadata have been defined at both the national and international levels, yet metadata often becomes dissociated from the data, or is incorrect, non-standard in nature, or not created in the first place. -
Data Migration
Science and Technology 2018, 8(1): 1-10 DOI: 10.5923/j.scit.20180801.01 Data Migration Simanta Shekhar Sarmah Business Intelligence Architect, Alpha Clinical Systems, USA Abstract This document gives the overview of all the process involved in Data Migration. Data Migration is a multi-step process that begins with an analysis of the legacy data and culminates in the loading and reconciliation of data into new applications. With the rapid growth of data, organizations are in constant need of data migration. The document focuses on the importance of data migration and various phases of it. Data migration can be a complex process where testing must be conducted to ensure the quality of the data. Testing scenarios on data migration, risk involved with it are also being discussed in this article. Migration can be very expensive if the best practices are not followed and the hidden costs are not identified at the early stage. The paper outlines the hidden costs and also provides strategies for roll back in case of any adversity. Keywords Data Migration, Phases, ETL, Testing, Data Migration Risks and Best Practices Data needs to be transportable from physical and virtual 1. Introduction environments for concepts such as virtualization To avail clean and accurate data for consumption Migration is a process of moving data from one Data migration strategy should be designed in an effective platform/format to another platform/format. It involves way such that it will enable us to ensure that tomorrow’s migrating data from a legacy system to the new system purchasing decisions fully meet both present and future without impacting active applications and finally redirecting business and the business returns maximum return on all input/output activity to the new device. -
SQL Developer Oracle Migration Workbench Taking Database Migration to the Next Level Donal Daly Senior Director, Database Tools Agenda
<Insert Picture Here> SQL Developer Oracle Migration Workbench Taking Database Migration to the next level Donal Daly Senior Director, Database Tools Agenda • Why Migrate to Oracle? • Oracle Migration Workbench 10.1.0.4.0 • SQL Developer Migration Workbench • New Features • New T-SQL Parser • Additional Migration Tools • Demonstration • Conclusion • Next steps • Q&A Why Migrate to Oracle? What is a migration? • A Migration is required when you have an application system that you wish to move to another technology and/or platform • For example, you could migrate your application from: • Windows to Linux • Mainframe to UNIX • Sybase to Oracle • Visual Basic to Java • Microsoft SQL Server to Oracle 10g on Linux • Microsoft Access to Oracle Application Express Why Migrate to Oracle? Business Drivers for Migration • Consolidation • Many Platforms to one • Hardware and Software Consolidation • Centralized IT Management • Reliability/Scalability/Performance • Core competencies of Oracle • Key Customer Concerns • Open Standards • JAVA, XML, SOAP Why Migrate to Oracle? Oracle’s Migration Strategy • Provide cost effective migration solutions to the Oracle platform • Migrate entire application(s) & database(s) • Minimize migration effort by using • Proven tools & methodology • Services to support complete project lifecycle Lowest Total Cost of Adoption Why Migrate to Oracle? Migration Tools Support 1. Evaluation 8. Project 2. Assessment Support 7. Production Migration Lifecycle 3. Migration 6. Customer Acceptance 4. Testing 5. Optimization Oracle -
Preserving Transactional Data and the Accompanying Challenges Facing Companies and Institutions That Aim to Re-Use These Data for Analysis Or Research
01000100 01010000 Preserving 01000011 Transactional 01000100 Data 01010000 Sara Day Thomson 01000011 01000100 DPC Technology Watch Report 16-02 May 2016 01010000 01000011 01000100 01010000 Series editors on behalf of the DPC Charles Beagrie Ltd. 01000011 Principal Investigator for the Series Neil Beagrie 01000100 01010000 This report was supported by the Economic and Social Research Council [grant number ES/JO23477/1] 01000011 © Digital Preservation Coalition 2016 and Sara Day Thomson 2016 Contributing Authors for Section 9 Technical Solutions: Preserving Databases Bruno Ferreira, Miguel Ferreira, and Luís Faria, KEEP SOLUTIONS and José Carlos Ramalho, University of Minho ISSN: 2048-7916 DOI: http://dx.doi.org/10.7207/twr16-02 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without prior permission in writing from the publisher. The moral rights of the author have been asserted. First published in Great Britain in 2016. Foreword The Digital Preservation Coalition (DPC) is an advocate and catalyst for digital preservation, ensuring our members can deliver resilient long-term access to digital content and services. It is a not-for-profit membership organization whose primary objective is to raise awareness of the importance of the preservation of digital material and the attendant strategic, cultural and technological issues. It supports its members through knowledge exchange, capacity building, assurance, advocacy and partnership. The DPC’s vision is to make our digital memory accessible tomorrow. The DPC Technology Watch Reports identify, delineate, monitor and address topics that have a major bearing on ensuring our collected digital memory will be available tomorrow. -
Table of Contents in Alphabetical Order
Table of Contents in Alphabetical Order Volume I - pp. 1-797 ∙ Volume II - pp. 798-1599 ∙ Volume III - pp. 1600-2370 ∙ Volume IV - pp. 2371-3135 ∙ Volume V - pp. 3136-3911 Volume VI - pp. 3912-4689 ∙ Volume VII - pp. 4690-5429 ∙ Volume VIII - pp. 5430-6185 ∙ Volume IX - pp. 6186-6955 ∙ Volume X - pp. 6956-7701 Preface........................................................................................................................................... clxxxix Guide to the Encyclopedia of Information Science and Technology, Third Edition.................cxciv Acknowledgment..............................................................................................................................cxcvi About the Editor............................................................................................................................ cxcvii 3D.Media.Architecture.Communication.with.SketchUp.to.Support.Design.for.Learning................ 2410 Michael Vallance, Department of Media Architecture, Future University Hakodate, Japan A.Bayesian.Network.Model.for.Probability.Estimation.................................................................... 1551 Harleen Kaur, Hamdard University, India Ritu Chauhan, Amity University, India Siri Krishan Wasan, Jamia Millia Islamia, India A.Brief.Review.of.the.Kernel.and.the.Various.Distributions.of.Linux............................................. 4018 Jurgen Mone, Business College of Athens, Greece Ioannis Makris, Business College of Athens, Greece Vaios Koumaras, Business College of Athens,