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Managing a Multi-tier Data Warehousing Environment with the SAS/Warehouse Adminstrator
Managing a Multi-tier Data Warehousing Environment with the SAS/Warehouse Adminstrator

... sales department has sales and billing information, the marketing department has advertising and promotional information, and the customer service department has details of contact with the customer after the sale has been made. All of this information is segregated and is typically available only t ...
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... – A structure that satisfies all properties of a relation except for the first item – Entries contain repeating groups; they are not single-valued ...
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...  Enterprise resource planning (ERP)  Customer relationship management (CRM) ...
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Data on Demand with SAS® Enterprise Guide®: A Cheap and Easy Approach to Real-Time Database Access
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... SAS Enterprise Guide is often promoted as an easy introduction to SAS or as a tool for business analysts who prefer graphic interfaces to writing extensive amounts of code. However, it has some interesting functionality that even the truest die-hard programmer could appreciate such as its ODBC inter ...
Concepts of Database Management Sixth Edition
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...  A structure that satisfies all properties of a relation except for ...
Managing Objects with Data Dictionary Views
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... the database. The data dictionary is structured in tables and views, just like other database data. Not only is the data dictionary central to every Oracle database, but it is an important tool for all users, from end users to application designers and database administrators. You use SQL statements ...
Chapter 22 Distributed DBMSs - Concepts and Design Transparencies
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... For example, Branch created at site S1 might be named S1.BRANCH. Also need to identify each fragment and its copies. Thus, copy 2 of fragment 3 of Branch created at site S1 might be referred to as S1.BRANCH.F3.C2. However, this results in loss of distribution transparency An approach that resolves t ...
Structured Query Language (SQL)
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... column-1, column-2, ... are column names specified (or implied) in the select list. If a select column is renamed (given a new name in the select entry), the new name is used in the ORDER BY list. ASC and DESC request ascending or descending sort for a column. ASC is the default. ORDER BY sorts rows ...
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... Data & Metadata • Much of this data is inaccessible • Need to be able to – Find relevant data as information – Understand it : syntax, semantics – Understand any restrictions on its use METADATA ...
MySQL: Database Fundamentals - UTK-EECS
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... and password) to complex purchase histories. There are several facets of database systems that are courses in their own right and are beyond the scope of this document – for example, database implementation, and database normalization (i.e., designing tables to minimize the duplication of data). The ...
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... by the values stored in the fields. • The one-to-many relationship is captured by the fact that the primary key value of the entity which plays the "one" role is embedded as a foreign key value in the record of the entity which plays the "many" role. • In this case, both entities happen to exist in ...
A Data Modeling Process for Decomposing Healthcare
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... proceeds to translate it into the logical schema. While this could theoretically involve any data model, in practice the relational model is most commonly used, and the one we adopt. In the relational schema, tables typically represent entity classes, and entity class attributes become columns in th ...
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... • Add all the fields to your table by typing the field names in the column headings and pressing the Tab key or the Enter key to move to the next column • In the first row below the field names, enter the value for each field in the first record, pressing the Tab key or the Enter key to move from fi ...
Fundamentals of Relational Database Design
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... Phone#, (Address, City, State), and (Address + ZipCode). Following Pascal’s guidelines, you would rule out the last three candidates because addresses and phone numbers can change fairly frequently. The choice among CustomerId and the name composite key is less obvious and would involve tradeoffs. H ...
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...  inventory(item, level): How much of each item is in the warehouse  minlevel(item, level) : What is the minimum desired level of each item  reorder(item, amount): What quantity should we re-order at a time  orders(item, amount) : Orders to be placed (read by external process) ...
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... • Non-relational data (Log files, web click etc.) analysis on extreme volumes • Some types of ETL processing ...
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SAP R/3 : ABAP/4 Development Code Efficiency Guidelines

... In order to keep the amount of data which is relevant to the query the hit set small, avoid using SELECT+CHECK statements wherever possible. As a general rule of thumb, always specify all known conditions in the WHERE clause (if possible). If there is no WHERE clause the DBMS has no chance to make o ...
Information Organization and Retrieval
Information Organization and Retrieval

... • Many physical database design decisions are implicit in the technology adopted – Also, organizations may have standards or an “information architecture” that specifies operating systems, DBMS, and data access languages -- thus constraining the range of possible physical implementations. ...
High Availability-Disaster Recovery 101
High Availability-Disaster Recovery 101

... People take regular backups, but very rarely (or never) actually restore them Then, they find out in an emergency that their database backups are no good ...
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Web Programming Services

... Additional Notes: This program framework is designed to accommodate the use of software from various vendors. It is suggested that the instructor select and focus instruction on a single vendor’s RDBMS software together with a single middleware computer language (e.g. Oracle/Java, MS SQL Server/ASP. ...
Chapter 7
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... Figure 7-1 shows the data hierarchy. The data hierarchy includes bits, bytes, fields, records, files, and databases. Data are organized in a hierarchy that starts with the bit, which is represented by either a 0 (off) or a 1 (on). Bits can be grouped to form a byte to represent one character, number ...
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... • Ingestion speed limited by input tape reads – Only two tapes per day can be read ...
الشريحة 1
الشريحة 1

... SQL has one basic statement for retrieving information from a database; the SELECT statement Important distinction between SQL and the formal relational model; SQL allows a table (relation) to have two or more tuples that are identical in all their attribute ...
Chapter 11
Chapter 11

... Fact tables contain time-period data  Date dimensions are important Chapter 11 ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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