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The Eclpise Modeling Framework (EMF) is a framework and code generation facility that lets you define a model in any of these forms--Java interfaces, UML diagram, or XML Schema. EMF doesn´t require a completely different methodology or any sophisticated modeling tools. All you need to get started with EMF are the Eclipse Java Development Tools. EMF relates modeling concepts directly to their implementations, thereby bringing to Eclipse-and Java developers in general-the benefits of modeling with a low cost of entry. Unlike most tools of this type, EMF is truly integrated with and tuned for efficient programming. It answers the often-asked question, ´´Should I model or should I program?´´ with a resounding, ´´Both.´´ This book, written by the lead architects of EMF, provides both an introduction and tutorial to how to leverage and work with this powerful framework. In addition to the new coverage (see overflow page) this book provides: · A basic overview of the most important concepts in EMF and modeling. · Analysis of the most important framework classes and generator patterns including insightful discussions of various design alternatives. · Examples of many common framework customizations and programming techniques. Product Description EMF: Eclipse Modeling Framework Dave Steinberg Frank Budinsky Marcelo Paternostro Ed Merks Series Editors: Erich Gamma . Lee Nackman . John Wiegand The Authoritative Guide to EMF Modeling and Code Generation The Eclipse Modeling Framework enables developers to rapidly construct robust applications based on surprisingly simple models. Now, in this thoroughly revised Second Edition, the project´s developers offer expert guidance, insight, and examples for solving real-world problems with EMF, accelerating development processes, and improving software quality. This edition contains more than 40% new material, plus updates throughout to make it even more useful and practical. The authors illuminate the key concepts and techniques of EMF modeling, analyze EMF´s most important framework classes and generator patterns, guide you through choosing optimal designs, and introduce powerful framework customizations and programming techniques. Coverage includes . Defining models with Java, UML, XML Schema, and Ecore . NEW: Using extended Ecore modeling to fully unify XML with UML and Java . Generating high-quality code to implement models and editors . Understanding and customizing generated code . Complete documentation of @model Javadoc tags, generator model properties, and resource save and load options . NEW: Leveraging the latest EMF features, including extended metadata, feature maps, EStore, cross-reference adapters, copiers, and content types . NEW: Chapters on change recording, validation, and utilizing EMF in stand-alone and Eclipse RCP applications . NEW: Modeling generics with Ecore and generating Java 5 code About the Authors Dave Steinberg is a software developer in IBM Software Group. He has worked with Eclipse and modeling technologies since joining the company, and has been a committer on the EMF project since its debut in 2002. Frank Budinsky, a senior architect in IBM Software Group, is an original coinventor of EMF and a founding member of the EMF project at Eclipse. He is currently cochair of the Service Data Objects (SDO) specification technical committee at OASIS and lead SDO architect for IBM. Marcelo Paternostro is a software architect and engineer in IBM Software Group. He is an EMF committer and has been an active contributor to several other Eclipse projects. Before joining IBM, Marcelo managed, designed, and implemented numerous projects using Rational´s tools and processes. Ed Merks is the project lead of EMF and a colead of the top-level Modeling project at Eclipse. He holds a Ph.D. in Computing Science and has many years of in-depth experience in the design and implementation of languages, frameworks, and application development environments. Ed works as a software consultant in partnership with itemis AG. Backcover EMF: Eclipse Modeling Framework Dave Steinberg Frank Budinsky Marcelo Paternostro Ed Merks Series Editors: Erich Gamma . Lee Nackman . John Wiegand The Authoritative Guide to EMF Modeling and Code Generation The Eclipse Modeling Framework enables developers to rapidly construct robust applications based on surprisingly simple models. Now, in this thoroughly revised Second Edition, the project´s developers offer expert guidance, insight, and examples for
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types: SQL and NoSQL databases, and their respective management systems The nature and uses of Big Data A high-level view of the organization of data management Data Modeling and Consistency Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more. A full chapter probes the challenges of Ensuring Data Consistency, covering: Multi-User Operation Troubleshooting Consistency in Massive Distributed Data Comparison of the ACID and BASE consistency models, and more System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. Post-Relational and NoSQL Databases The chapter on post-relational databases discusses the limits of SQL - and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along with Development of Non-Relational Technologies, Key-Value, Column-Family and Document Stores XML Databases and Graphic Databases, and more The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
For Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems. The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques. Resources: Open access Author Website ¿http://infolab.stanford.edu/~ullman/dscb.html ¿includes Power Point slides, teaching notes, assignments, projects, Oracle Programming Guidelines, and solutions to selected exercises. Instructor only Pearson Resources: Complete Solutions Manual (click on the Resources tab above to view downloadable files) Features + Benefits Many real-world examples. Offers a readable and engaging presentation. Extensive treatment of database modeling?Includes detailed and separate explanations of how to use E/R and ODL to design databases. Teaches about this important first step of the planning process. Excellent, up-to-date and detailed coverage of SQL?Includes coverage of object-relational systems and many aspects of the new SQL:1999 standard. Provides a more extensive treatment of query processing than other books on the market. Discussion of the technologies used to connect database programming with C or Java code?Includes discussions of SQL/PSM, SQL/CLI, and JDBC. Gives students practical advice on integrating state-of-the-art technologies with databases. Coverage of advanced issues important to database designers and users. Includes discussions of views, integrity constraints, assertions, triggers, transactions, authorization, and recursion in SQL:1999. Discussions of how to successfully plan a database application before building it. Reflects how these plans are developed in the real world. Coverage of topics such as designing storage structures and implementing a variety of indexing schemes. Shows students how to build efficient database management systems. Extensive coverage of query processing and optimization. Shows students how to fine tune database systems to improve performance. Comprehensive coverage of transaction processing mechanisms for concurrency control and recovery, including distributed and long-duration transactions. Shows how to design complex database systems that can handle real-world business applications. Coverage of information integration, including data warehousing, mediation, OLAP, data-cube systems, and data mining. Exposes readers to cutting edge technology used in business applications. Extensive exercises?In almost every section. Provides students with the opportunity to practice and apply the concepts they´ve learned in each chapter. Please note that GOAL/Gradiance is no longer available with this book. TABLE OF CONTENTS 1 The Worlds of Database Systems 1.1 The Evolution of Database Systems 1.1.1 Early Database Management Systems 1.1.2 Relational Database Systems 1.1.3 Smaller and Smaller Systems 1.1.4 Bigger and Bigger Systems 1.1.5 Information Integration 1.2 Overview of a Database Management System 1.2.1 Data-Definition Language Commands 1.2.2 Overview of Query Processing 1.2.3 Storage and Buffer Management 1.2.4 Transaction Processing 1.2.5 The Query Processor 1.3 Outline of Database-System Studies 1.4 References for Chapter 1 PART I: Relational Database Modeling 2 The Relational Model of Data 2.1 An Overview of Data Models 2.1.1 What is a Data Model? 2.1.2 Important Data Models 2.1.3 The Relational Model in Brief 2.1.4 The Semistructured Model in Brief 2.1.5 Other Data Models 2.1.6 Comparison of Modeling Approaches 2.2 Basics of the Relational Model 2.2.1 Attributes 2.2.2 Schemas 2.2.3 Tuples 2.2.4 Domains 2.2.5 Equivalent Representations of a