Chapter 3 Data Management

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19 Terms

1
In-store sales
Data on sales that occur in physical store locations.
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2
Catalog content
Information about products available in catalogs.
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3
Operational Database
A live database that supports real-time transactions.
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4
Offline Database
A database used for reporting and analysis, separate from real-time operations.
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5
SQL (Structured Query Language)
A data sublanguage designed for creating and processing database data and metadata.
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6
Data Definition Language (DDL)
SQL statements used for creating database structures, such as tables and relationships.
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7
Data Manipulation Language (DML)
SQL statements used for inserting, querying, modifying, and deleting data.
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8
Transaction Control Language (TCL)
SQL statements used for managing transactions that execute groups of SQL operations together.
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9
Data Control Language (DCL)
SQL statements for granting or revoking access permissions for users.
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10
SELECT Statement
The core SQL query structure that retrieves data from a database.
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11
DISTINCT keyword
Used to remove duplicate rows from the result set.
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12
TOP function
Controls the number of rows returned in a query.
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13
WHERE clause
A clause that filters records based on specified conditions.
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14
GROUP BY clause
A clause that groups data based on specified column(s).
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15
HAVING clause
A clause that filters grouped results, used with aggregate functions.
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16
LIKE operator
Allows pattern matching in SQL queries.
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17
Wildcard character (%)
Represents any sequence of characters in SQL queries.
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18
Aggregate Functions
Functions that perform a calculation on a set of values and return a single value.
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19
Difference between WHERE and HAVING
WHERE filters individual rows before grouping; HAVING filters groups after aggregation.
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