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Advanced Oracle PL/SQL Developer's Guide (Second Edition)

You're reading from   Advanced Oracle PL/SQL Developer's Guide (Second Edition) Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785284809
Length 428 pages
Edition 2nd Edition
Languages
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Author (1):
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Saurabh K. Gupta Saurabh K. Gupta
Author Profile Icon Saurabh K. Gupta
Saurabh K. Gupta
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Table of Contents (14) Chapters Close

Preface 1. Overview of PL/SQL Programming Concepts FREE CHAPTER 2. Oracle 12c SQL and PL/SQL New Features 3. Designing PL/SQL Code 4. Using Collections 5. Using Advanced Interface Methods 6. Virtual Private Database 7. Oracle SecureFiles 8. Tuning the PL/SQL Code 9. Result Cache 10. Analyzing, Profiling, and Tracing PL/SQL Code 11. Safeguarding PL/SQL Code against SQL injection 12. Working with Oracle SQL Developer Index

Chapter 7. Oracle SecureFiles

The fact that data is growing multifolds at a tremendous speed has led to the evolution of a number of data management trends and Big Data is one of them. A large amount of information from web content, sensors, documents, images, and location services has pushed organizations to place serious thought to data management strategies and distil out nuggets of information. The data can be structured, semi-structured, or unstructured.

In relational database terminology, unstructured data such as binary files or documents are classified as large objects. Oracle has been allowing users to store large objects in the tables of a relational database for a long time. While the large objects are prototyped as BLOB or CLOB in a table, there is a provision to store XML documents, spatial data and text using dedicated data types. In this chapter, we will focus on large object handling in the Oracle Database. You will understand how large objects or LOBs are stored...

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