The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.

High-Performance Parallel Database Processing and Grid Databases

Computers & Technology

Taniar, David

Rahayu, Wenny

Leung, Clement H. C.

Goel, Sushant

Networking & Cloud Computing

wiley

The popularity of object-oriented concepts, design, and programming has stimulated the need for a database system that enables a straightforward process to store and retrieve object instances. Exploring object-oriented features and techniques in Oracle DBMS, this book describes the fundamental aspects of data modeling and implementation in Oracle. The implementation of structural aspects of an object model are covered, including object types, collection types, object referencing, nested tables, and inheritance structures, as well as the behavioral aspects that include encapsulated member procedures and functions. The complete cycle of database design using object-oriented concepts, implementation on object-relational Oracle, and data manipulations using member procedures/functions and object-relational queries is also addressed.

Object-Oriented Oracle (Solutions For IT Professionals)

Rahayu, Johanna Wenny

Pardede, Eric

Programming

Cybertech Pub

This book describes comprehensive and fundamental aspects of object-oriented data modeling and implementation in Oracle. It covers the implementation of structural aspects of an object model, including object types, collection types, object referencing, nested tables, and inheritance structures, as well as the behavioral aspects including encapsulated member procedures and functions. Object-Oriented Oracle discusses the complete cycle of database design using object-oriented concepts, implementation of object-relational Oracle, and data manipulations using member procedures/functions and object-relational queries. Object-Oriented Oracle contains a wealth of information, such as case studies in every chapter, as well as exercises at the end of each chapter, which helps readers to absorb the topics better; all reasons this book is a necessary collection addition for academics, researchers, educators, and IT professionals everywhere.

Object-Oriented Oracle

Irm Pr

This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge.\nThe book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics).\nThis textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.\nFrom the Back Cover\nThis textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. 
The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics).\nThis textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

Data Warehousing and Analytics: Fueling the Data Engine (Data-Centric Systems and Applications)

Springer

See the best price to sell, buy, or rent books by Taniar, David. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Taniar, David