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Applying and Extending Oracle Spatial

You're reading from  Applying and Extending Oracle Spatial

Product type Book
Published in Sep 2013
Publisher Packt
ISBN-13 9781849686365
Pages 568 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (20) Chapters

Applying and Extending Oracle Spatial
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Defining a Data Model for Spatial Data Storage 2. Importing and Exporting Spatial Data 3. Using Database Features in Spatial Applications 4. Replicating Geometries 5. Partitioning of Data Using Spatial Keys 6. Implementing New Functions 7. Editing, Transforming, and Constructing Geometries 8. Using and Imitating Linear Referencing Functions 9. Raster Analysis with GeoRaster 10. Integrating Java Technologies with Oracle Spatial 11. SQL/MM – A Basis for Cross-platform, Inter-operable, and Reusable SQL Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial
Use of TREAT and IS OF TYPE with ST_GEOMETRY Index

Extract, transform, and load (ETL) tools

Spatial data is usually collected from many different sources, such as proprietary file systems, GIS tools, and third-party vendors. One of the biggest challenges for a database administrator (DBA) is to ingest all of these different formats of data, and present them in a uniform data model to their users. There are specific data loading tools (such as Shapefile, KML, and TAB file converters) to load the data from these specific file formats. In traditional database systems, an ETL tool is used to ingest data from different data sources. Now, there are several graphical user interface (GUI) driven ETL tools (both open source and third-party vendor provided) that can support many of the common spatial data formats. We look at one such ETL tool in detail to see how it can be used for the spatial data loading process.

An ETL tool supports extract, transform, and load operations. During the extract process, the tool can extract data from different source...

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