Book Image

Applying and Extending Oracle Spatial

By : Siva Ravada, Simon Greener
Book Image

Applying and Extending Oracle Spatial

By: Siva Ravada, Simon Greener

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)
Applying and Extending Oracle Spatial
About the Authors
About the Reviewers
Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial

Chapter 2. Importing and Exporting Spatial Data

Once we have defined a data model, the next step is to load data into it. After the data is loaded, it needs to be checked for "cleanliness" before indexing and using it. There are many methods for loading data of different types and formats. In this chapter, we describe some of the most common formats, and how they can be loaded into the Oracle database using free tools, tools already available with Oracle, and tools from third-party vendors. In addition, we also discuss other issues relating to import performance and organization of data for efficient access by applications.

The goal of this chapter is to give you a complete overview of all aspects of data loading from tools, through physical loading techniques and data organization, data quality checking, and indexing.

  • Extract, transform, and load (ETL) tools: GeoKettle, Oracle Spatial Shapefile loader, and Map Builder

  • Using SQL, Application Express, and Excel

  • Implementing theoretical storage...