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  • Book Overview & Buying Applying and Extending Oracle Spatial
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Applying and Extending Oracle Spatial

Applying and Extending Oracle Spatial

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Applying and Extending Oracle Spatial

Applying and Extending Oracle Spatial

Overview of this book

Spatial applications should be developed in the same way that users develop other database applications: by starting with an integrated data model in which the SDO_GEOMETRY objects are just another attribute describing entities and by using as many of the database features as possible for managing the data. If a task can be done using a database feature like replication, then it should be done using the standard replication technology instead of inventing a new procedure for replicating spatial data. Sometimes solving a business problem using a PL/SQL function can be more powerful, accessible, and easier to use than trying to use external software. Because Oracle Spatial's offerings are standards compliant, this book shows you how Oracle Spatial technology can be used to build cross-vendor database solutions. Applying and Extending Oracle Spatial shows you the clever things that can be done not just with Oracle Spatial on its own, but in combination with other database technologies. This is a great resource book that will convince you to purchase other Oracle technology books on non-spatial specialist technologies because you will finally see that "spatial is not special: it is a small, fun, and clever part of a much larger whole".
Table of Contents (20 chapters)
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Applying and Extending Oracle Spatial
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1
Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial
3
Index

Introduction to partitioning


Oracle partitioning, an extra cost option of Oracle Database Enterprise Edition, enhances the manageability, performance, and availability of a wide variety of applications. While such technology and cost is beyond the normal practitioner, we will introduce many concepts that apply to the efficient organization of large volumes of data via partitioning. Partitioning allows tables and indexes to be subdivided into smaller pieces, enabling these database objects to be managed and accessed at a finer level of granularity.

Oracle partitioning support is one of the very useful features for managing tables with very large volumes of data. When tables are large, creating indexes, collecting statistics, and other data management tasks take a long time. If the full table scans are used in some execution plans, the queries will take a very long time to execute if the table is large (hundreds of gigabytes in size). Operations such as table recovery and index maintenance...

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