Download e-book for kindle: Transaction Processing by Jim Gray, Andreas Reuter

By Jim Gray, Andreas Reuter

ISBN-10: 1558601902

ISBN-13: 9781558601901

The major to client/server computing.
Transaction processing innovations are deeply ingrained within the fields of databases and working platforms and are used to observe, regulate and replace info in sleek desktops. This e-book will express you the way huge, allotted, heterogeneous computers will be made to paintings reliably. utilizing transactions as a unifying conceptual framework, the authors convey tips on how to construct high-performance allotted platforms and high-availability functions with finite budgets and danger. The authors supply specified causes of why a variety of difficulties ensue in addition to functional, usable thoughts for his or her resolution. during the ebook, examples and strategies are drawn from the main profitable advertisement and examine platforms. wide use of compilable C code fragments demonstrates the various transaction processing algorithms provided within the e-book. The publication can be worthy to somebody attracted to imposing dispensed structures or client/server architectures.

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The data management strategy allows Essbase to easily combine data from a wide variety of data sources, including the Oracle Database. Essbase is part of the Oracle Fusion Middleware architecture. Oracle OLAP: Database-Centric OLAP Oracle OLAP is available as an option to the Oracle Database Enterprise Edition. As an embedded component of the Oracle Database, Oracle OLAP benefits from the scalability, high availability, job scheduling, parallel processing, and security features inherent in the Oracle Database.

9 10 Oracle Essbase & Oracle OLAP: The Guide to Oracle’s Multidimensional Solution OLAP Types If you have read about OLAP before picking up this book, you may have come across a description of the various types of OLAP implementations. Three main types of OLAP are available: multidimensional OLAP, relational OLAP, and hybrid OLAP. To help you understand where Oracle’s OLAP solutions fit into this spectrum, we will briefly describe each type. Multidimensional OLAP With multidimensional OLAP (MOLAP), the data is stored in a multidimensional data store.

Multidimensional means nothing more than thinking about a topic from more than one perspective. For example, consider your answers to the following questions: ■■ Where are you currently located? ■■ What day of the week is it? ■■ What are you doing right now? You just performed your first piece of multidimensional analysis—analyzing location by time and task. In this example, location, time, and task are dimensions. Your specific answers to these questions—let’s say head office, Monday, and reading—are members within the dimensions.

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Transaction Processing by Jim Gray, Andreas Reuter


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