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lecture07
lecture07

... – Minor changes in the problem domain do not change the schema. – Major changes in the problem domain can be handled without too much difficulty. – Can support efficient database access. ...
Backup and Recovery
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... physical size of the entire data warehouse – Large parts of data warehouses are often static, and even read-only, so they need a single backup Oracle 10g Database Administrator: Implementation and Administration ...
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... comprehensively meets the needs of relational and non-relational data storage while reducing the cost of managing and building applications for that data. For example, consider how an insurance claim application is likely to have changed in the last fifteen years. Fifteen years ago, the application ...
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... Rapid growth in information and the need to preserve it safety of data will require organizations to integrate how they manage and use their data, from design to end of existence. Now all data can be stored in the internet storage space that is cyberspace. These storages space are delivered and reta ...
Week 14 - California State University, Sacramento
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... A security strategy is an overall plan to mitigate risk. While many organizations today have a security strategy, what is sometimes missed or not adequately addressed is database security. A security strategy must mitigate the overall possibility of harm or loss to a company’s data. Furthermore, a s ...
Tutorial: Database Communication in LabVIEW
Tutorial: Database Communication in LabVIEW

... block diagram, a front panel, and a connector panel. The last is used to represent the VI in the block diagrams of other, calling VIs. Controls and indicators on the front panel allow an operator to input data into or extract data from a running virtual instrument. However, the front panel can also ...
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... management systems are designed for Online Transaction Processing (OLTP) applications. Since these systems are marketed as supporting data warehousing and business intelligence (BI) applications, their customers have inevitably inherited this less-than-optimal architecture. The reality is that BI an ...
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...  GOM is “abstract” (or conceptual) part of the OGC suite of standards. It defines geometries and operations on them. The GOM is conceptual model independent of SQL or any other language, and hence is used to define more concrete implementations. The GOM is based on the Object Orientation concept of ...
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... Chapter 3: Relational Model  Structure of Relational Databases  Relational Algebra  Extended Relational-Algebra-Operations  Modification of the Database ...
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Tessera Rapid Modeling Environment: Production-Strength Data Mining Solution for Terabyte-Class Relational Data Warehouses

... records of data per customer are combined into a single factual metric per customer, and flattening, where multiple records per customer are reverse pivoted into multiple columns. In addition, a system must support complex filtering criteria to include only the appropriate data in each computation a ...
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...  The presence of a redundancy in a database may be  an advantage : a reduction in the number of accesses necessary to obtain the derived information;  a disadvantage: because of larger storage requirements, (but, usually at negligible cost) and the necessity to carry out additional operations in ...
Logging and Recovery
Logging and Recovery

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PPT - NYU Stern School of Business
PPT - NYU Stern School of Business

... Relational databases are a great success of theoretical ideas. ...
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Database

A database is an organized collection of data. It is the collection of schemes, tables, queries, reports, views and other objects.The data is typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.A database management system (DBMS) is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data. A general-purpose DBMS is designed to allow the definition, creation, querying, update, and administration of databases. Well-known DBMSs include MySQL, PostgreSQL, Microsoft SQL Server, Oracle, Sybase and IBM DB2. A database is not generally portable across different DBMSs, but different DBMS can interoperate by using standards such as SQL and ODBC or JDBC to allow a single application to work with more than one DBMS. Database management systems are often classified according to the database model that they support; the most popular database systems since the 1980s have all supported the relational model as represented by the SQL language. Sometimes a DBMS is loosely referred to as a 'database'.
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