Data types, structures, schemas, relational versus non-relational databases, data warehouses and file formats.
40 cards · basic cards · AI-written, checked twice. Edit anything.
- What is an integer data type?
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A numeric data type representing whole numbers without decimal points, positive or negative.
- What is a float or double data type?
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A numeric data type that stores decimal values with a specified precision for fractional numbers.
- What is a string data type?
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A sequence of characters used to store text, enclosed in quotes in most programming contexts.
- What is a boolean data type?
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A data type with only two possible values, true or false, used for logical operations and conditions.
- What does NULL represent in a database?
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The absence of a value or an unknown value in a database field.
- What is a date-time data type?
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A data type that stores calendar dates and time values, often with formats like YYYY-MM-DD HH:MM:SS.
- What is an array data structure?
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An ordered collection of elements stored in contiguous memory, accessed by numeric index.
- What is a linked list data structure?
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A sequence of nodes where each node contains data and a pointer to the next node.
- What is a tree data structure?
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A hierarchical structure with a root node and child nodes forming parent-child relationships without cycles.
- What is a graph data structure?
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A collection of nodes (vertices) connected by edges, where edges can be directed or undirected.
- What is a stack data structure?
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A Last-In-First-Out (LIFO) collection where insertion and deletion occur only at the top.
- What is a queue data structure?
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A First-In-First-Out (FIFO) collection where insertion occurs at the rear and deletion at the front.
- What is a database schema?
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The structure of a database that defines tables, columns, data types, relationships, and constraints.
- What is database normalization?
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The process of organizing tables to reduce redundancy and improve data integrity by following normal forms.
- What is database denormalization?
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The intentional introduction of redundant data to a normalized schema to improve query performance.