Structured Query Language

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    Finance

    INTRO: •Online transaction processing (OLTP) gathering and processing information and updating existing information to reflect the processed information * —Supports operational processing * —Sales orders, accounts receivable, etc * —Supported by operational databases & DBMSs * •Online analytical processing (OLAP) manipulation of information to support decision making * —Helps build business intelligence * —Supported by data warehouses and data-mining tools RELATIONAL

    Words: 1431 - Pages: 6

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    Vector Space Model

    • Generating structured representations of information items: this process is called feature extraction and can include simple tasks, such as extracting words from a text as well as complex methods, e.g., for image or video analysis. • Generating structured representations of information needs: often this task is solved by providing users with a query language and leave the formulation of structured queries to them. This is the case, for example, for simple keyword based query languages, as used in

    Words: 3315 - Pages: 14

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    Database Processing Ch 1 and Part of Ch 2

    of tables, and complexity of data relationships) as a large database.  A small database is not necessarily a simple database. 1.17 What are the functions of application programs? * Create and process forms        * Process end user queries        * Create and process reports

    Words: 1418 - Pages: 6

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    Database Mgmt

    SQL: Structured Query Language is programming language is designed to managing data in relational database management system (RDBMS). CREATE TABLE: In Structure Query Language we use CREATE TABLE command to describe the layout of table. Computed Field: A field whose values you derive from existing database table is called a computed field. Computed field functions involve addition, subtraction, multiplication and division. Sub Query: Sub Query is query in a query. A Sub Query is usually

    Words: 334 - Pages: 2

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    Database

    Files * Database Management Systems (DBMSs) * Characteristics of Database Approach * Database Users * Database Storage LECTURE TWO: Database Systems Concepts and Architecture * Data Models * Three Schema Architecture * Database Languages and Interfaces LECTURE THREE: Database System Environment * Types of Databases * Database System Utilities * Tools Environment and Communication Facilities * Centralized and Client Server architecture for DBMSs * Distributed Databases

    Words: 252 - Pages: 2

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    Computer Science

    migration. If you have multiple Access databases you can map them to multiple SQL Server databases (or schemas) or to multiple schemas under the connected SQL Azure database. A data definition language or data description language (DDL) is syntax similar to a computer programming language for defining data structures especially database schemas. Schema objects do not have a one-to-one correspondence to physical files on disk that store their information. However, Oracle databases store

    Words: 643 - Pages: 3

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    Big Data

    an era of massive, high velocity, unstructured data and new developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures, data warehousing, Structured Query Language (SQL), and high-impact visual displays. The principal objective of the course is to help students build understanding of data as an essential competitive resource, and acquire advanced computer skills through cases and hands-on applications

    Words: 2130 - Pages: 9

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    Testing

    database are made in the form of a query, which is a stylized question. For example, the query SELECT ALL WHERE NAME = "SMITH" AND AGE > 35 requests all records in which the NAME field is SMITH and the AGE field is greater than 35. The set of rules for constructing queries is known as a query language. Different DBMSs support different query languages, although there is a semi-standardized query language called SQL (structured query language). Sophisticated languages for managing database systems

    Words: 660 - Pages: 3

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    Big Data

    an era of massive, high velocity, unstructured data and new developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures, data warehousing, Structured Query Language (SQL), and high-impact visual displays. The principal objective of the course is to help students build understanding of data as an essential competitive resource, and acquire advanced computer skills through cases and hands-on applications

    Words: 2130 - Pages: 9

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    Pt2520

    a multiuser database environment. lost-update _____ show data in a structured context. reports A ______ is a collection of forms, reports, queries, and programs that process a database. database application ______ is a popular enterprise DBMS. DB2 ______ is the most popular diagramming tool for database applications. E-R 27. ______ is the process of converting a poorly structured table into two or more well-structured tables. normalization 28. ______ process logic that is specific to

    Words: 1054 - Pages: 5

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