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Get the database skills that are in demand More and more organizations are turning to database management systems to manage their accounting and other operational data. These organizations are looking for accountants with database skills and a good understanding of information technology. With Chang and Ingraham’s Data Modeling and Database Design: Using Access to Build a Database you can develop the skills needed to build an actual accounting information system. Taking an approach that is both conceptual and practical, this book will help you understand the theory of data modeling, as well as its application and ultimate implementation in database design. Key Features: Step-by-step detailed instructions show how to model and design three essential processes of an accounting information system: the sales/collection process, the acquisition/payment process, and the human resources/payroll process. Presents data modeling from an REA (resource-event-agent) perspective. The approach is software-independent, but utilizes Microsoft Access 2003 to implement the data models throughout the text. Multiple-choice and detailed problems at the end of each chapter reinforce learning. Includes a CD-ROM containing the additional data and forms you will need to complete each chapter.
Learn the powerful knowledge of using queries (sql) to generate conventional profit and loss, balance sheet, cash flow or even bank reconciliation on the fly. There are no other technical books that provide the equilibrium knowledge of both accounting and sql programming needed in developing an in house customized business or accounting application. The chapters in the book are concise and practical. You will discover realistic tables required in a relational database structure, that stores important transactional information for your payables, receivables, assets, banking and journals. You will learn normalization concepts to building accounting tables, and identifying redundant fields in third phase of the normalization process.
This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of database design. This book represents a quick and efficient way to unite valuable content from leading database design experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Details multiple relational models and modeling languages, enhancing the reader’s technical expertise and familiarity with design-related requirements specification. Coverage of both theory and practice brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases.
This book will teach you how to write SQL for an accounting system. You will learn how to develop various modular graphical user interface (GUI) with strong business logic control, to creating conventional referential tables and to writing powerful SQL statement involving the use of joins, subqueries, cursors, advanced data filtering, constraints, stored procedures and triggers, as we progress from one chapter to the next, in building a complete functional accounting system.
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS. Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn’t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience. Presents an end-to-end framework from logical data modeling through physical schema definition. Includes lessons learned, techniques, and tricks that can turn a database disaster into a success. Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server What You'll Learn Create logical data models that accurately reflect the real world of the user Create usage scenarios reflecting how applications will use a new database Merge static data models with dynamic process models to create resilient yet flexible database designs Support application requirements by creating responsive database schemas in any database architecture Cope with big data and unstructured data for transaction processing and decision support systems Recognize when relational approaches won’t work, and when to turn toward NoSQL solutions such as Cassandra or Hadoop Who This Book Is For System developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems
Using a business process approach, this text integrates AIS topics to provide a strong conceptual foundation in accounting systems and controls. Throughout the text, the authors emphasize the relevance of the content to accountants and the roles that they play as designer, user and evaluator of information systems. The text provides numerous problem-solving aids to help students develop competencies in documenting and analyzing transaction cycles and AIS data, identifying risks and controls, using accounting applications, and designing and evaluating AIS. A set of core cases is used throughout each chapter to facilitate integration. There is a comprehensive case at the end of the text that is designed to give students further opportunity for integration of concepts and tools. For instructors emphasizing database design and accounting applications, a database design project is also integrated in the text. A supplement is available to help students learn how a relational database (MS Access) can be used to implement an AIS.