Oracle 10g

EBook Description: Online Tutorial

Microsoft SQL Server 2005 provides the database developer the opportunity to locate programming code in native formats or create server-driven complex systems. The .NET framework, in combination with the SQL Server 2005, delivers the functionality of the powerful class library in combination with modern programming languages. Common Language Runtime (CLR) is used to code procedures, triggers and functions within the chosen language in the .NET framework. Using object-oriented constructs such as structured exception handling, namespaces, classes and arrays assist the programmer in effectively handling procedural issues when programming with SQL Server 2005.

Data Recovery

Data Recovery is exactly what it sounds like - a way to recover important information that was lost from a computer crash, hard disk malfunction, or virus attack. No matter the scale, big corporation database recovery or single user retrieval of files from spontaneous �deleting�, data recovery is an important and necessary part of any operating system. Data Recovery software can be developed, installed and removed from existing systems to retrieve lost data or partial data and minimize damage caused to the system. The goal of data recovery is perfection, as in, not losing a single byte of infor

Data Mining

Data Mining is a complex subject that describes a type of database application used to search large amounts of data for patterns using specific tools. Advanced statistical methods and tools such as classification, association rule mining and cluster analysis search large volumes of data for previously unknown relationships within the data. Data Mining can be used to decipher trends in a wide variety of fields such as computer science, the marketing and advertising of goods, services or products, artificial intelligence research, biological sciences and high-level government intelligence.

Data Warehousing

A data warehouse consists of a computer database responsible for the collection and storage of information for a specific organization. This collection of information is then used to manage information efficiently and analyze the collected data. Although data warehouses vary in overall design, majority of them are subject oriented, meaning that the stored information is connected to objects or events that occur in reality. The data provided by the data warehouse for analysis provides information on a specific subject, rather than the functions of the company and is collected from varying sources into one unit having time-variant.

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Concurrency Control And Recovery in Database Systems

Concurrency Control And Recovery in Database Systems

Relational Database Index Design and the Optimizers

Improve the performance of relational databases with indexes designed for today's hardware Over the last few years, hardware and software have advanced beyond all recognition, so it's hardly surprising that relational database performance now receives much less attention. Unfortunately, the reality is that the improved hardware hasn't kept pace with the ever-increasing quantity of data processed today. Although disk packing densities have increased enormously, making storage costs extremely low and sequential read very fast, random reads are still painfully slow. Many of the old design recommendations are therefore no longer valid-the optimal point of indexing has come a long way. Consequently many of the old problems haven't actually gone away-they have simply changed their appearance. This book provides an easy but effective approach to the design of indexes and tables. Using lots of examples and case studies, the authors describe how the DB2, Oracle, and SQL Server optimizers determine how to access data, and how CPU and response times for the resulting access paths can be quickly estimated. This enables comparisons to be made of the various designs, and helps you choose available choices for the most appropriate design.

Database Performance Tuning on AIX

Database Performance Tuning on AIX

Database System Concepts, Fifth Edition

The Fourth edition of Database System Concepts has been extensively revised from the 3rd edition. The new edition provides improved coverage of concepts, extensive coverage of new tools and techniques, and updated coverage of database system internals. This text is intended for a first course in databases at the junior or senior undergraduate, or first-year graduate level. Database System Concepts, 4th ed. offers a complete background in the basics of database design, languages, and system implementations. Concepts are presented using intuitive descriptions, and important theoretical results are covered, but formal proofs are omitted. The fundamental concepts and algorithms covered in Database System Concepts 4th ed. are based on those used in existing commercial or experimental database systems. The authors present these concepts and algorithms in a general setting that is not tied to one particular database system.

Data Transfer Strategies (between XML and RDBM)

Data Transfer Strategies (between XML and RDBM)

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