QUIZ Introduction to ETL Part 2

Which technique is used to query multiple disparate data sources without moving or replicating data?

• Data Cleaning.

• Data Virtualization.

• Schema Mapping.

• Data Propagation.

What are the two key processes involved in ensuring data quality before it is moved to the target system?

• Data validation and data cleaning.

• Data integration and data loading.

• Data extraction and data loading.

• Data transformation and data propagation.

What is the primary goal of data quality techniques in ETL processes?

• To decrease data volume.

• To strengthen marketing actions and optimize customer loyalty.

• To increase data processing time.

• To simplify data formats.

What does 'ETL automation' typically involve in the construction process?

• Manual scripting of data transfers.

• Designing and testing the ETL process for hands-off operation.

• Replacing all databases with a single data warehouse.

• Phasing out all traditional ETL tools.

What is the impact of ETL on Business Intelligence (BI)?

• It has no significant impact on BI.

• It complicates the BI process by adding more data.

• It ensures the data used for BI is clean, consistent, and comprehensive.

• It slows down the BI process by adding extra steps.

In the context of ETL, what is the main benefit of cloud-based solutions like AWS Glue and Azure Data Factory?

• They offer physical storage devices for data warehousing.

• They provide serverless ETL services to reduce operational burden.

• They are cheaper than traditional on-premises solutions.

• They completely automate data governance.

How does Master Data Management (MDM) contribute to ETL processes?

• By providing a single source of core business data for consistency.

• By allowing real-time data streaming.

• By creating multiple versions of data for backup.

• By focusing on unstructured data only.

What is the significance of the Data Staging Area (DSA) in ETL?

• It is used for user queries.

• It is where data is permanently stored.

• It is a transit storage where transformations and cleansing are done.

• It directly interacts with front-end applications.

Which real-world application did the presentation highlight as a case where ETL is critical?

• Social Media Analysis.

• Telecommunications Network Optimization.

• Online Retail Personalization.

• Educational Content Curation.

What is the role of a 'data steward' in ETL?

• To perform technical maintenance of ETL tools.

• To be responsible for data quality, including manual inspections and corrections.

• To develop ETL software solutions.

• To manage the data warehouse infrastructure.