Software updates often involve data migration, especially when converting legacy software implemented to interface with outdated relational database management systems or other nonrelational database electronic files. Moreover, many software applications rely on data migration to import data from a variety of platforms. Usually, database migrations are time consuming and error prone. Based on their experience designing and implementing custom utilities to convert a large number of legacy databases and files in different platforms, RTI computer scientists developed five criteria that need to be considered when evaluating a data migration tool (DMT). These criteria can help users and software development project managers make informed decisions in data conversion tasks, help software developers assess design and implementation considerations for future DMT products, and provide guidelines for database administrators to evaluate a general DMT.
Data migration, generally referred to as the process of reading data from their source and inserting them into a target database, is an important element of data extract, transform, and load (ETL) systems. During data migration, errors can occur during data transmission. These errors can directly affect the quality of the data in the target database. Therefore, verifying the correctness of the outcome is a critical component of a data migration operation. Current methods in data migration correctness verification have many limitations, including incompleteness and inaccuracy. This paper describes an innovative method that applies the well-proven checksum methodology to verify the correctness of the data migration outcome. This method performs a thorough and accurate verification on the correctness of the migrated data, mitigating most of the weaknesses associated with current verification methods. This method is also easy to implement and will greatly enhance the quality of data migration operations.
Are You Engaged in Data Migration Project? Are you tired of dealing with data migration failures, costly downtime, and lost productivity? Do you want to ensure a smooth and successful transition? Want to find ways to mitigate risks, streamline processes and maximize the benefits of data migration? This book provides a comprehensive guide to pre-migration activities which will arm you with knowledge and tools for an effortless transition. With guidance from experienced data migration professionals, this book takes an approachable, hands-on approach to pre-migration activities by offering strategies and techniques for assessing, cleansing and mapping data sets prior to migration. In this book, you will learn: · Learn to define your project scope and objectives to meet the needs of your organization, while simultaneously understanding how important assessing data complexity and using quality metrics can be for making informed decisions. · How to create an effective communication plan to keep all stakeholders updated throughout the migration process · Why it is crucial for organizations to conduct readiness assessments prior to embarking on migration · Automated data mapping tools offer advantages that speed up migration by streamlining processes. Furthermore, using such tools helps mitigate risks associated with data migration while assuring data security during this process. · And much more! This book serves as not only a comprehensive guide to pre-migration activities but also as an evidence-based case study of their successful implementation. But don't just take our word for it. Here's what readers are saying: "This book is a game-changer. It helped me navigate through the complexities of data migration and avoid costly mistakes." - John D., IT Manager "The practical tips and real-world examples in this book gave me the confidence to take on our data migration project with ease." - Sarah M., Business Analyst No matter what stage of data migration you are at or the type of business leader undertaking the project, "The Key to Successful Data Migration: Pre-Migration Activities" is your go-to resource for ensuring a smooth and successful migration experience. So don't delay! Start reading now and discover the secrets to unlocking all the potential of your data migration project!
This monograph takes a fresh look at migration in light of the recent resurgence of interest in this topic within archaeology. The author develops a reliable approach for detecting and assessing the impact of migration based on conceptions of style in anthropology. From numerous ethnoarchaeological and ethnohistoric case studies, material culture attributes are isolated that tend to be associated only with the groups that produce them. Clark uses this approach to evaluate Puebloan migration into the Tonto Basin of east-central Arizona during the early Classic period (A.D. 1200-1325), focusing on a community that had been developing with substantial Hohokam influence prior to this interval. He identifies Puebloan enclaves in the indigenous settlements based on culturally specific differences in the organization of domestic space and in technological styles reflected in wall construction and utilitarian ceramic manufacture. Puebloan migration was initially limited in scale, resulting in the co-residence of migrants and local groups within a single community. Once this co-residence settlement pattern is reconstructed, relations between the two groups are examined and the short-term and long-term impacts of migration are assessed. The early Classic period is associated with the appearance of the Salado horizon in the Tonto Basin. The results of this research suggest that migration and co-residence was common throughout the basins and valleys in the region defined by the Salado horizon, although each local sequence relates a unique story. The methodological and theoretical implications of Clark's work extend well beyond the Salado and the Southwest and apply to any situation in which the scale and impact of prehistoric migration are contested.
This work examines the role played by the state and private sectors in organizing labour migration, and the economic and social issues raised by such migration policies and programmes. It explores the question of whether, and how, migrant workers should be controlled and regulated to safeguard the interests of the sending state without infringing the basic rights of the individual.
The Go Programming Language is the authoritative resource for any programmer who wants to learn Go. It shows how to write clear and idiomatic Go to solve real-world problems. The book does not assume prior knowledge of Go nor experience with any specific language, so you’ll find it accessible whether you’re most comfortable with JavaScript, Ruby, Python, Java, or C++. The first chapter is a tutorial on the basic concepts of Go, introduced through programs for file I/O and text processing, simple graphics, and web clients and servers. Early chapters cover the structural elements of Go programs: syntax, control flow, data types, and the organization of a program into packages, files, and functions. The examples illustrate many packages from the standard library and show how to create new ones of your own. Later chapters explain the package mechanism in more detail, and how to build, test, and maintain projects using the go tool. The chapters on methods and interfaces introduce Go’s unconventional approach to object-oriented programming, in which methods can be declared on any type and interfaces are implicitly satisfied. They explain the key principles of encapsulation, composition, and substitutability using realistic examples. Two chapters on concurrency present in-depth approaches to this increasingly important topic. The first, which covers the basic mechanisms of goroutines and channels, illustrates the style known as communicating sequential processes for which Go is renowned. The second covers more traditional aspects of concurrency with shared variables. These chapters provide a solid foundation for programmers encountering concurrency for the first time. The final two chapters explore lower-level features of Go. One covers the art of metaprogramming using reflection. The other shows how to use the unsafe package to step outside the type system for special situations, and how to use the cgo tool to create Go bindings for C libraries. The book features hundreds of interesting and practical examples of well-written Go code that cover the whole language, its most important packages, and a wide range of applications. Each chapter has exercises to test your understanding and explore extensions and alternatives. Source code is freely available for download from http://gopl.io/ and may be conveniently fetched, built, and installed using the go get command.
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. - Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques - Presents case studies involving enterprise, business, and government service deployment of big data applications - Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
This handbook of research is one of the few texts to combine Open Source Software (OSS) in public and private sector activities into a single reference source. It examines how the use of OSS affects practices in society, business, government, education, and law.
