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Getting Oracle Data into SAS® Datasets
Getting Oracle Data into SAS® Datasets

... SAS datasets. This works so well, since you can then use simple SAS code for accessing any table, exactly as if it is a SAS dataset. The syntax is the same as a normal libname statement, with the engine used (odbc or oracle), and some options: ...
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... in order to roll a database forward after a tape recovery. • Log files should be stored on a separate drive from the data files • Log files in Oracle can be multiplexed ...
Ontology materialization from relational database sources using D2RQ
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Chapter 14: Query Optimization
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Data Management Layer Design (II)
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JPA - KSU Web Home
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Lecture 1 for CS4432
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Easy SQL Query for N..

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Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

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Database Agents - International Organization for Information
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Extended SQL for Manipulating Clinical Warehouse Data
Extended SQL for Manipulating Clinical Warehouse Data

... of users, some users will still need to want to work with clinical databases directly, e.g. database administrators and analysts proficient in SQL. In addition, the SQL generated by such tools will still suffer from tremendous performance problems, due to the limitations of standard SQL. A different ...
10/5/2008 Chapter 14 Objectives
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... Brokers examine ‘Ad Tables’ to find out the servers that are willing to perform the task at hand.  Using records in an Ad Table the server posts its bids.  Ad tables typically have the bidding information for the sample query structures run on that server. ...
Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

... increased processor and disk utilization, leading to better transaction throughput: one transaction can be using the CPU while another is reading from or writing to the disk ...
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... increased processor and disk utilization, leading to better transaction throughput: one transaction can be using the CPU while another is reading from or writing to the disk ...
Integration and Virtualization of Relational SQL and NoSQL Systems
Integration and Virtualization of Relational SQL and NoSQL Systems

... relational database systems are relatively interchangeable due to their common acceptance of standards. Recently, numerous NoSQL (“Not Only SQL”) systems have been released and widely adopted in many domains. NoSQL systems have been developed to support applications not well served by relational sys ...
cse4701chap26 - University of Connecticut
cse4701chap26 - University of Connecticut

...  Each site must adhere to a centralized access policy  There may be a global schema. Multi-database: There is no one conceptual global schema  For data access a schema is constructed dynamically as needed by the application software. Object Unix Relational Unix Oriented Site 5 Site 1 Hierarchical ...
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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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