5 Questions
¿Cuál es el propósito principal de un almacén de datos?
Consolidar datos de múltiples fuentes en un solo lugar
¿Cuál es la principal ventaja de utilizar UTF-8 sobre ASCII?
UTF-8 puede representar todos los caracteres del conjunto de caracteres Unicode
¿Qué característica de un archivo CSV lo hace fácil de leer y analizar?
Utiliza comas para separar valores
¿Cuál es el propósito principal de la arquitectura de un almacén de datos?
Consolidar datos de múltiples fuentes en un solo lugar
¿Qué es una característica clave de un archivo XML?
Utiliza etiquetas para definir elementos de datos
Study Notes
Data Warehouse
A data warehouse is a centralized repository that stores data from various sources in a single location, making it easier to analyze and report.
Characteristics of a Data Warehouse
- Integrated: Data from multiple sources is consolidated into a single repository.
- Time-variant: Data is stored with a time component, allowing for historical analysis.
- Non-volatile: Data is not updated in real-time, ensuring data consistency.
- Data is transformed: Data is converted into a format suitable for analysis.
Data Encoding and Formats
- UTF-8: A Unicode character encoding that can represent every character in the Unicode character set. It is a variable-width encoding, meaning that each character can take up to 4 bytes.
- ASCII: A character encoding that represents only the first 128 characters of the Unicode character set. It is a fixed-width encoding, where each character is represented by 1 byte.
Data Files
- CSV (Comma Separated Values): A plain text file that uses commas to separate values. Each line represents a single record, and each value is separated by a comma.
- XML (Extensible Markup Language): A markup language that uses tags to define data elements. It is a flexible and self-descriptive format, making it easy to read and parse.
Data Warehouse Architecture
- Single-tier architecture: A single server that stores and processes data.
- Two-tier architecture: A client-server architecture, where the client requests data and the server processes and returns the data.
- Three-tier architecture: A client-server architecture, where the client requests data, the application server processes the data, and the database server stores the data.
Data Warehouse Benefits
- Improved data quality: Data is cleansed and transformed, ensuring consistency and accuracy.
- Enhanced business decision-making: Data is easily accessible and analyzable, enabling better decision-making.
- Increased productivity: Data is centralized, reducing the time and effort required to gather and analyze data.
Learn about the characteristics, data encoding and formats, files, architecture, and benefits of a data warehouse. Understand the concepts and principles of data warehousing and its importance in business decision-making.
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