Podcast
Questions and Answers
What is the primary focus of a Data Mart compared to a Data Warehouse?
What is the primary focus of a Data Mart compared to a Data Warehouse?
- Holds large amounts of unstructured data
- Interim area for operational data storage
- Centralized reporting and analysis
- Specific tailored data for departments (correct)
What does a primary key in a relational database do?
What does a primary key in a relational database do?
- Records all business transactions
- Uniquely identifies a record in a table (correct)
- Acts as the main method for data storage
- Links data between different tables
Which of the following is true about an Operational Data Store (ODS)?
Which of the following is true about an Operational Data Store (ODS)?
- It serves as an interim area for data warehouses. (correct)
- It maintains no historical data over time.
- It is primarily used for high-level reporting.
- It stores data solely for analytical purposes.
What does normalization aim to achieve in data management?
What does normalization aim to achieve in data management?
How does a Snowflake Schema differ from a Star Schema?
How does a Snowflake Schema differ from a Star Schema?
Which statement best describes a Data Lake?
Which statement best describes a Data Lake?
What does a Database Schema specifically encompass?
What does a Database Schema specifically encompass?
What is the role of a foreign key in relational databases?
What is the role of a foreign key in relational databases?
Flashcards
Operational Data Store (ODS)
Operational Data Store (ODS)
A database used as a temporary storage area for a data warehouse, holding data on operational activities like customer orders and sales.
Data Warehouse
Data Warehouse
Large, centralized repositories for storing data for reporting and analysis. Requires continuous updates for relevance.
Data Mart
Data Mart
Specialized data warehouses focusing on a specific purpose like marketing, providing tailored data for different departments.
Data Lake
Data Lake
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Relational Databases
Relational Databases
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Data Dictionary
Data Dictionary
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Normalization
Normalization
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Data Model
Data Model
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Database Schema
Database Schema
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Study Notes
Operational Data Store (ODS)
- An interim database for data warehousing.
- Stores operational activity information (e.g., orders, sales, payments).
Data Warehouse
- Centralized, large data repositories.
- Used for reporting and analysis.
- Requires continuous updates for relevance.
Data Mart
- Focused on a specific function (e.g., marketing) like a mini-data warehouse.
- Tailored to specific departmental needs.
Data Lake
- Stores both structured and unstructured data in raw format.
Relational Databases
- The most common method for structured data storage.
- Creates a data model.
- Stores all data necessary for business functions, maintaining:
- Completeness
- No redundancy
- Consistent business rules (e.g., constraints)
- Seamless integration of business processes.
Data Elements in a Relational Database
- Tables: Organized data sets.
- Attributes (Columns): Unique characteristics of each table.
- Records (Rows): Specific instances within a table.
- Fields: Intersection of column and row.
- Data Types: Numerical, text, dates.
- Database Keys: Crucial for linking data.
Types of Database Keys
- Primary Key: Unique identifier for each record.
- Composite Primary Key: Multiple attributes form a unique identifier.
- Foreign Key: Reference to a primary key in another table.
Data Dictionary
- Explains the database structure.
- Includes descriptions of all data elements.
Normalization of Data
- First Normal Form (1NF): Single data in each cell, primary key exists.
- Second Normal Form (2NF): Non-key attributes must depend solely on the primary key.
- Third Normal Form (3NF): Non-key attributes cannot depend on other non-key attributes.
Data Model vs. Database Schema
- Data Model: High-level design of data structures.
- Database Schema: Practical, relational database implementation plan – instructions for data organization.
Types of Data Models
- Conceptual Model: Table names and relationships.
- Logical Model: Adds primary and foreign keys.
- Physical Model: Includes column data types.
Types of Database Schemas
- Fact Table: Stores measures/metrics without foreign keys.
- Dimension Table: Provides descriptive context for fact table data.
- Star Schema: A central fact table surrounded by dimension tables.
- Snowflake Schema: A more complex, normalized form of the star schema.
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Description
Explore the fundamental concepts of data storage, including Operational Data Store (ODS), Data Warehouses, Data Marts, Data Lakes, and Relational Databases. This quiz covers the characteristics and functions of each data storage method and their significance in data management and analysis.
