ch03 c
True/False
1. Document management technology archives digital and physical data to meet business needs, as well as regulatory and legal requirements.
2. In terms of IS dependability, fault tolerant data management technologies means zero-downtime, zero data loss, and continuous access to data, analytics, and reporting.
3. Operational intelligence refers to the credentials, technological skills, decision making abilities and industry experience of key leaders in an organization.
4. Traditional databases are not well suited for managing messy data such as customer comments and tweets.
5. An ad-hoc request for specific data or information from a database or warehouse is called a report.
6. An ad-hoc request for specific data or information from a database or warehouse is called a query.
7. Many database management systems use the Structured Query Language (SQL) for programming queries.
8. Many database management systems use the Syntax Query Language (SQL) for programming queries.
9. Databases are optimized for extremely fast processing of queries -or ad hoc user requests for specific data.
10. Data generated by business apps, sensors, and transaction processing systems (TPS) are typically stored first in a database.
11. Data warehouses integrate data from multiple databases and data silos and organize them for complex analysis, knowledge discovery, and to support decision making.
12. Data marts are small-scale data warehouses that support a single function or department.
13. Mini-data warehouses are small-scale data warehouses that support a single function or department.
14. Business intelligence (BI) tools and techniques process data and do statistical analysis for insight and discovery—that is, to discover meaningful relationships in the data, keep informed of real time, gain insight, detect trends, and identify opportunities and risks.
15. Database management systems (DBMS) are computer
1. Document management technology archives digital and physical data to meet business needs, as well as regulatory and legal requirements.
2. In terms of IS dependability, fault tolerant data management technologies means zero-downtime, zero data loss, and continuous access to data, analytics, and reporting.
3. Operational intelligence refers to the credentials, technological skills, decision making abilities and industry experience of key leaders in an organization.
4. Traditional databases are not well suited for managing messy data such as customer comments and tweets.
5. An ad-hoc request for specific data or information from a database or warehouse is called a report.
6. An ad-hoc request for specific data or information from a database or warehouse is called a query.
7. Many database management systems use the Structured Query Language (SQL) for programming queries.
8. Many database management systems use the Syntax Query Language (SQL) for programming queries.
9. Databases are optimized for extremely fast processing of queries -or ad hoc user requests for specific data.
10. Data generated by business apps, sensors, and transaction processing systems (TPS) are typically stored first in a database.
11. Data warehouses integrate data from multiple databases and data silos and organize them for complex analysis, knowledge discovery, and to support decision making.
12. Data marts are small-scale data warehouses that support a single function or department.
13. Mini-data warehouses are small-scale data warehouses that support a single function or department.
14. Business intelligence (BI) tools and techniques process data and do statistical analysis for insight and discovery—that is, to discover meaningful relationships in the data, keep informed of real time, gain insight, detect trends, and identify opportunities and risks.
15. Database management systems (DBMS) are computer