Questions from Database Management

Q: How is KNIME used as a predictive analytics tool?

How is KNIME used as a predictive analytics tool?

Q: Having reviewed your conceptual models (from Chapters 2 and 3)

Having reviewed your conceptual models (from Chapters 2 and 3) with the appropriate stakeholders and gaining their approval, you are now ready to move to the next phase of the project, logical design....

Q: Describe the mechanism through which prescriptive analytics is dependent on descriptive and

Describe the mechanism through which prescriptive analytics is dependent on descriptive and predictive analytics.

Q: Describe the core idea underlying in-memory DBMSs.

Describe the core idea underlying in-memory DBMSs.

Q: Describe the core idea underlying in-database analytics.

Describe the core idea underlying in-database analytics.

Q: How is data quality and management vital in realizing the full potential

How is data quality and management vital in realizing the full potential of big data and analytics?

Q: Identify six broad categories of implications of big data analytics and decision

Identify six broad categories of implications of big data analytics and decision making.

Q: Match the following terms to the appropriate definitions: - text

Match the following terms to the appropriate definitions: - text mining - data mining - descriptive analytics - analytics - predictive analytics - prescriptive analytics a. knowledge discovery using a...

Q: Contrast the following terms: a. Data mining; text

Contrast the following terms: a. Data mining; text mining b. ROLAP; MOLAP c. R; Python

Q: Explain the progression from DSS to analytics through business intelligence.

Explain the progression from DSS to analytics through business intelligence.