28. The position of a is a non-technical position responsible for defining and implementing consistent principles for setting data standards and data definitions that apply across all the databases in an organization. a. data analyst c. database administrator b. data administrator d. data owner 29. is the term used to describe enormous and complex data collections that traditional data management software, hardware, and analysis processes are incapable of handling. a. Data warehouse b. Data mart c. Big data d. Knowledge base 30. A is a subset of a data warehouse that is used by small- and medium-sized businesses and departments within large companies to support decision making. a. data dictionary b. data model c. data mart d. data mine

28. The position of a is a non-technical position responsible for defining and implementing consistent principles for setting data standards and data definitions that apply across all the databases in an organization. a. data analyst c. database administrator b. data administrator d. data owner 29. is the term used to describe enormous and complex data collections that traditional data management software, hardware, and analysis processes are incapable of handling. a. Data warehouse b. Data mart c. Big data d. Knowledge base 30. A is a subset of a data warehouse that is used by small- and medium-sized businesses and departments within large companies to support decision making. a. data dictionary b. data model c. data mart d. data mine

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Similar questions

Explain the concept of data redundancy and how it can lead to inconsistencies in a database, emphasizing the need for normalization.
Explain the concept of data lineage and its importance in tracking changes and ensuring data traceability in a data warehousing environment.
What is data modeling, and why is it important in database design? Provide examples of different types of data models.
Explain the concept of slowly changing dimensions (SCDs) and their importance in maintaining historical data in a data warehouse.
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Explain the concept of "data lineage" in the context of data governance. How does data lineage tracking help ensure data traceability and compliance with regulatory requirements?
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