In a logical model, the relationship between two entities where one occurrence of entity A can relate to many occurrences of entity B, and vice versa, is termed as _______.
- Many-to-Many Relationship
- Many-to-One Relationship
- One-to-Many Relationship
- One-to-One Relationship
In a logical model, a many-to-many relationship represents a situation where one occurrence of entity A can be associated with many occurrences of entity B, and vice versa. This is typically used to model complex relationships between entities.
A pharmaceutical company has data stored in various formats - Excel sheets, cloud databases, and on-premises SQL servers. They want a unified view of all this data for analysis. What should they consider implementing?
- Data Cleansing
- Data Extraction
- Data Virtualization
- Data Warehousing
To achieve a unified view of data from various sources, the pharmaceutical company should consider implementing a Data Warehousing solution. Data Warehousing involves the process of centralizing, storing, and organizing data from disparate sources into a structured repository, making it accessible for analysis and reporting.
A _______ is a subset of a data warehouse that focuses on a particular subject or department like sales or finance.
- Data Cube
- Data Mart
- Data Repository
- Data Silo
A "Data Mart" is a subset of a data warehouse that focuses on a specific subject or department, such as sales, finance, or a particular area of an organization. It contains data relevant to a particular business unit or group, making it easier to access and analyze data related to specific needs.
In a sales data model, which hierarchy is most likely to be used to analyze sales trends?
- Customer Hierarchy
- Location Hierarchy
- Product Hierarchy
- Time Hierarchy
In a sales data model, the Time Hierarchy is crucial for analyzing sales trends. It allows analysts to explore sales data over different time periods, such as daily, monthly, or yearly, to identify patterns, seasonality, and trends. This hierarchy helps in time-based analysis, forecasting, and decision-making.
In a top-down approach to building a data infrastructure, which is typically built first?
- Data Integration
- Data Marts
- Data Sources
- Data Warehouses
In a top-down approach to building a data infrastructure, data sources are typically the first components to be addressed. Data sources include various systems and databases that store raw data, and they need to be integrated and processed to feed into data warehouses and data marts. Starting with data sources is fundamental to ensuring data quality and consistency.
The process of cleaning and enhancing the data so it can be loaded into a data warehouse is known as what?
- Data Extraction
- Data Integration
- Data Loading
- Data Transformation
The process of cleaning, transforming, and enhancing the data to prepare it for loading into a data warehouse is called "Data Transformation." During this phase, data is cleansed, structured, and enriched to ensure its quality and consistency for analysis.
A strategy that involves making copies of the data warehouse at regular intervals to minimize data loss in case of failures is known as _______.
- Data Cleansing
- Data Erosion
- Data Purging
- Data Replication
Data replication is a strategy in data warehousing that involves creating copies of the data warehouse at regular intervals. This approach helps minimize data loss in case of failures by ensuring that there are up-to-date backup copies of the data readily available. Data replication is essential for data resilience and disaster recovery.
Your data warehouse system alerts show frequent memory overloads during peak business hours. What could be a maintenance strategy to address this?
- Add more data storage capacity
- Implement data partitioning
- Increase CPU processing power
- Upgrade network bandwidth
To address memory overloads in a data warehouse, implementing data partitioning is a strategic maintenance strategy. Data partitioning involves dividing large tables into smaller, more manageable segments. This can reduce the memory requirements and improve query performance during peak hours.
_______ is a technique used in data warehouses to determine the order in which data is physically stored in a table, often to improve query performance.
- Data Cleaning
- Data Clustering
- Data Modeling
- Data Sorting
Data clustering is a technique used in data warehouses to determine the physical order of data within a table. It is done to group similar data together, optimizing query performance by reducing the need to access scattered data.
A _______ provides a consolidated and consistent view of data sourced from various systems across an organization.
- Data Mart
- Data Mining
- Data Source
- Data Warehouse
A Data Warehouse provides a consolidated and consistent view of data sourced from various systems across an organization. It is designed to support data analysis and reporting by providing a centralized repository for structured data from different sources.