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This book is for executives and practitioners tasked with the movement of data from old systems to a new repository. It uses a series of steps developed in real life situations that will get the reader from an empty new system to one that is working and backed by the user population. Recent figures suggest that nearly 40% of Data Migration projects are over time, over budget or fail entirely. Using this proven methodology will vastly increase the chances of achieving a successful migration.
It is a major challenge to migrate very large databases from one system, say for example, to transfer critical data from Oracle to SQL Server. One has to consider several issues such as loss of data being transferred, the security of the data, the cost and effort, technical aspects of the software involved, etc. There a very few books that provide practical tools and the methodology to migrate data from one vendor to another. This book introduces the concepts in database migration with large sample databases. It provides step by step guides and screenshots for database migration tools. Many examples are shown for migrating Oracle, SQL Server and MySQL databases.
If you work in a company that uses SAP or other non-SAP ERP systems and are looking at migrating to the latest digital core from SAP, whether the cloud or on-premise edition, then this book is for you! Explore your options for transitioning to SAP S/4HANA. Walk in detail through the phases of a data migration project using SAP Activate methodology. Identify SAP rapid data migration best practices for SAP S/4HANA with SAP Data Services. Learn about methods for migrating data to a new SAP implementation scenario, as well as the SAP Data Services architecture that deals with the process of extraction, transformation, and load (ETL) of data. Examine the steps required to execute the migration within the ETL stages and how SAP Data Services can be extended to meet additional migration needs. Take a deep dive into SAP S/4HANA migration cockpit and SAP S/4HANA migration object modeler. Walk through the steps required for migrating data from source systems to SAP S/4HANA (on-premise or cloud edition) using the preconfigured data migration objects delivered by SAP. Delve into the process of creating a migration project and generating the upload template, as well as the steps for uploading and validating the data, including error handling. Review the various migration options and tools available for migrating your legacy data to SAP S/4HANA (on-premise or cloud edition). - Data migration scenarios and tools for moving data to S/4HANA - Plan an S/4HANA data migration using SAP Activate methodology - Step-by-step guide for using S/4HANA migration cockpit and S/4HANA migration object modeler - Evaluate S/4HANA migration tools
This reference provides a structured approach to data migration in order to get the right data in the right place at the right time.
This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to complete the learning package.
Develop a custom, agile data warehousing and business intelligence architecture Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide. Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.
This forward-looking Research Handbook showcases cutting-edge research on the relationship between international migration and digital technology. It sheds new light on the interlinkages between digitalisation and migration patterns and processes globally, capturing the latest research technologies and data sources. Featuring international migration in all facets from the migration of tech sector specialists through to refugee displacement, leading contributors offer strategic insights into the future of migration and mobility.
"Most librarians and staff participate in at least one data migration during their careers. And since the new systems inevitably work differently than the old ones and require different data to function, it's always a challenge to plan smooth migrations that position libraries to immediately leverage new system capabilities. Using step-by-step instructions and checklists, this book offers expert advice to help library staff without programming knowledge address common conceptual and technical issues encountered in migrations. An important planning and implementation tool that will help prevent headaches and frustration, this book offers: a holistic view of migrating different types of library data in ILSes, institutional repositories, DAMs, and other types of systems used to manage data and operations; shows how to analyze, clean, and manipulate data using skills and tools available to most libraries; demonstrates how to work with specific data types typically encountered such as MARC, XML, and delimited text; examines issues that affect specific areas such as acquisitions, circulation, licensing, and institutional repositories; addresses how to handle changes in authentication management or when moving into a wholly new environment such as a shared catalog; thoroughly covers testing, the final migration process, and putting the new system into full production; offers guidance on planning for system freeze, staff training, and how to deal with fallout; provides step-by-step instructions as well as useful checklists for 'go live' readiness, post-migration functionality."--Résumé de l'éditeur.
Compilation of material published 1983-2004.
Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social relationships and contexts on individuals' attitudes and behavior. The authors provide solid guidance on the formulation of research questions; research design; data collection, including decisions about survey modes and sampling frames; the measurement of network composition and structure, including the use of name generators; and statistical modeling, from basic regression techniques to more advanced multilevel and dynamic models. Ethical issues in personal network research are addressed. User-friendly features include boxes on major published studies, end-of-chapter suggestions for further reading, and an appendix describing the main software programs used in the field.