Volume, velocity, and variety are the distinct characteristics of: a. Structured data b. Big data c. A data warehouse d. Master data e. A data mart _____ is the process of streamlining a database design to minimize redundancy and maximize integrity by organizing attributes. a. Functional dependency b. The database approach c. Data warehousing d. Extraction, transformation and loading e. Normalization At Redwood Community College, professors may teach at least two course or more, but one course has only one professor teaching it. This is an example of a: a. Data inconsistency b. Ternary relationship c. One-to-one relationship d. One-to-many relationship e. Functional dependency Knowledge is: a. A collection of facts, measurements and statistics b. Organized or processed data that are timely and accurate c. Information that is contextual, relevant, and useful d. Structured, exchangeable, and sharable e. Consists only of experiences, insights expertise, understanding _____ is objective, rational, and technical knowledge a. Tacit knowledge b. Structured data c. Knowledge d. Big data e. Explicit knowledge The following statements about Knowledge Management Systems are true EXCEPT: a. Help organizations deal with turnover and rapid change b. knowledge sharing among employees c. enhances, and expedite knowledge management d. Make best practices available to a wide range of employees e. Follow a cyclical process of refinement The day-to-day operational database is too volatile, and inconsistent to be used as the basis for producing management reports. That is why the relevant data are extracted from the live operational database into an isolated, stable storage facility called a a. data warehouse b. drill down set c. data dossier d. database e. OLAP _____ are low-cost, scaled-down versions of data warehouses that are used by specific functional areas (such as marketing) rather than by the entire organization. a. Databases b. Data inventories c. Data dictionaries d. Data marts e. MicroData In addition to storing data in their source systems, organizations need to extract the data, transform them, and then load them into a data mart or warehouse. This process is often called data _____ a. cleaning b. warehousing c. marting d. purification e. synthesis