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enterprise data management (15 results)
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- NetBackup for Oracle Scalable Backup and Recovery for Critical Oracle Databases
- This paper discusses the limitations of manual backup and recovery methods for Oracle databases, and describes how the VERITAS NetBackup solution manages Oracle backups. It explains how using NetBackup for Oracle backups and recoveries improves the availability, manageability and reliability of Oracle databases.
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- The Decision-Driven Warehouse - Attention Warehouse Shoppers: The Output is in the Decision
- Today’s Decision Support System (DSS) market place has about as many definitions of warehouse as vendors: Centralized warehouse, operational data store, distributed warehouse, virtual warehouse, data mart, replicated online transaction processing (OLTP) data. If you are currently undertaking a Data Warehousing project, you are faced with trying to select...
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- Data Quality Methods
- This paper briefly summarizes a basic strategy for proactive data cleansing. The main intent is to provide information that will be helpful in planning a data cleanup project. To that end, suggestions are provided in a "cookbook" format. It must be understood that each project will be unique, and the...
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- A Comparison of Leading Data Mining Tools
- This white paper describes what Data Mining Tools Can do:– Enhance inference process– Speed up design cycle.And what Data Mining Tools Can Not do:– Substitute for statistical and domain expertise.
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- OLAP and OLAP Server Definitions
- OLAP is implemented in a multi-user client/server mode and offers consistently rapid response to queries, regardless of database size and complexity. OLAP helps the user synthesize enterprise information through comparative, personalized viewing, as well as through analysis of historical and projected data in various "what-if" data model scenarios. This is...
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- A Brief History of Decision Support Systems
- Today, a number of disciplines provide the substantive foundations for DSS development and research. Database researchers have contributed tools and research on managing data. Management Science has developed mathematical models for use in DSS and provided evidence on the advantages of modeling in problem solving. Cognitive Science, especially Behavioral Decision...
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- FileMaker Pro vs. a Web Browser
- With the built-in networking and web publishing capabilities of FileMaker ® Pro, users can easily share FileMaker Pro databases to other FileMaker Pro users as well as web browsers. FileMaker Pro 5 is a rich, full-featured database client that offers many advantages and important differences over a web browser...
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- Microsoft SQL Server Query Processor Internals and Architecture
- This article examines how Microsoft SQL Server queries are processed on the client, how the various clients interact with SQL Server, and what SQL Server does to process clients' requests. Hopefully, knowing how SQL Server processes your queries, and how and when it compiles them or recompiles them, will allow...
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- Client/Server Database Security
- Incomplete security functionality and a lack of security management tools at the database level places organizations that are implementing client/server applications at high risk to large security related losses. It is clear that solutions are needed now to overcome the functional and operational barriers to implementing sound security at...
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- Data Warehousing Issues for ERP Systems
- As many organizations begin to go to production with large Enterprise Resource Planning (ERP) systems, the need for reporting and analysis on this information has grown. This paper will discuss the issues associated with designing a data warehouse for an ERP system. This paper is intended for people with a...
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- DAO Advanced Programming
- Data Access Objects, or DAO, is a powerful programming model for database services. DAO is implemented as a hierarchy of objects and collections. Each of the object types is represented within this hierarchy. DAO allows you to create new objects, and modify existing ones.
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- From Data Mining to Database Marketing
- The current state of the art analysis of databases is done by high-tech analysts (typically statisticians) using sophisticated tools (e.g., SAS or S-Plus). In essence these analysts are manual data miners. Database mining, which incorporates the ability to access directly data stored in a database, is one step beyond the...
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- Visualizing Data Mining Models
- The point of data visualization is to let the user understand what is going on. Since data mining usually involves extracting hidden information from a database, this understanding process can get somewhat complicated. In most standard database operations nearly everything the user sees is something that they knew existed in...
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- MS Access Application with C#
- What lead me to write this application is when i wanted to access the MSAccess database using c sharp I couldn't get any information material. All the material available on the net is partial to sql, and hence the purpose we will develop this application in 2 phase First we...
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- An Important Complement to the Disaster Recovery Plan
- Though it has been said that most disaster recovery plans, when put to the test of a true disaster, fail to serve the organization, no one who has contemplated the consequences of failing to plan for a Computer Room Disaster would advocate the abandonment of contingency planning. It can be...
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- Disaster Recovery Planning Process (Part 1)
- This is the first of a three-part series that describes the planning process related to disaster recovery. Based on the various considerations addressed during the planning phase, the process itself and related methodology can be equally as beneficial as the final written plan. ost businesses depend heavily on technology...
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- Disaster Recovery Planning Process (Part 2)
- This is the second of a three-part series that describes specific methods for organizing and writing a comprehensive disaster recovery plan. The first part of this series described the process for developing a thorough disaster recovery plan.A well-organized disaster recovery plan will directly affect the recovery capabilities of the organization....
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- Disaster Recovery Planning Process (Part 3)
- This is the third part of a series that describe specific methods for organizing and writing a comprehensive disaster recovery plan. The first part of this series described the process for developing a thorough disaster recovery plan. The second article described specific methods for organizing and writing a comprehensive disaster...
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- Components of a Successful LAN Disaster Recovery Plan
- Technologists often exhibit an unexpected response when asked by management to produce a disaster recovery plan for an automated system. They get genuinely ticked off. In the mind of a good technologist, this request is often interpreted as a signal that management does not trust them to recover in the...
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- Performance Management and Capacity Planning for Microsoft SQL Server
- This paper describes the author’s experiences in performance management and capacity planning for systems based on Microsoft’s SQL Server database management product. The paper covers SQL Server database design, the resource consumption and performance data sources that are available, the way in which a monitoring regime was established, and the...
- White papers
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