Data Warehouse and its Implementation Issues

What is a Data Warehouse?

• A repository for storing historical data

• A repository for storing real-time data

• A repository for storing future data

• A repository for storing temporary data

What are some benefits of using data warehouses?

• You gain a deeper understanding of customer behaviour

• You can identify the areas for improvement and streamline processes

• You can support data privacy and compliance regulations by managing data effectively

• None of the above

What is the key characteristic of Data Warehousing that organizes data based on business subjects?

• Subject-oriented

• Integrated

• Non-volatile

• Time-variant

Which of the following are true about an integrated data warehouse?

• Removes the need for data silos and inconsistencies

• Necessitates the usage of data silos

• Provides a single source of truth for historical data analysis

• Provides multiple sources of truth for historical data analysis

What does it mean when it says that the data warehouse is non-volatile?

• The data warehouse may explode at any moment

• Data is permanent and not overwritten by new transactions

• Different from operational databases in which older data may be deleted

• Supports predictive data

What is the right sequence to the data warehousing process?

• ETL > Data Source Identification > Data Quality Checks > Data Governance

• Data Source Identification > Data Quality Checks > ETL > Data Governance

• Data Source Identification > ETL > Data Quality Checks > Data Governance

• Data Source Identification > Data Governance > ETL > Data Quality Check

How is data stored in a data warehouse?

Which dimensional modeling technique is the simplest and most common?

• Snowflake Schema

• Star Schema

• Central Fact Table

• Dimension Tables

What is the purpose of Dimension Tables in a Data Warehouse?

• Organize data based on business subjects

• Provide context to the measures

• Store quantitative data

• Contain historical data

What is the main challenge in Data Integration for a Data Warehouse?

• Optimizing query performance

• Ensuring data security

• Resolving data quality issues

• Identifying all relevant data sources