Exam 3: Database, Data Warehouse, and Data Mining

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Databases are optimized for extremely fast processing of queries -or ad hoc user requests for specific data.

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A 2011 study by MIT Sloan Management Review and IBM studied over 4500 firms and their use of BI and business analytics. Which of the following was not cited in your text as one of the study's findings?

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________________ unites data, technology, analytics, and human knowledge to optimize business decisions by transforming data into usable, actionable business information.

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In terms of the major functions performed by a DBMS, "maintaining data integrity" refers to integrating, matching, or linking data from disparate sources.

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There are three kinds of enterprise data: Transactional data, _____________ data and Analytical data.

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Organizations often store data in applications with the following characteristics: -Designed and optimized for analysis and quick response to queries. -Are nonvolatile, which means that when data are stored, they can be read only and never deleted so that they can be used for comparison with newer data. -Online analytic processing OLAP) systems -Subject-oriented, which means that the data captured is organized to have similar data linked together. These four characteristics best describe which of the following?

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The process of moving data from a transactional database to a data warehouse can be complex because of the need to integrate data from multiple sources or enterprise applications. _____________ serves as a layer between transactional data in a database and analytical data in a data warehouse.

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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.

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In terms of the major functions performed by a DBMS, data synchronization refers to which of the following?

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In terms of IS dependability, _________________data management technologies means zero-downtime, zero data loss, and continuous access to data, analytics, and reporting.

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In the past, data was transferred from OTLP databases to data warehouses periodically, say once a month or even once a week. Now, the trend is for real-time data warehousing so that analysis and decision support apps are able to use the most current data. These new types of data warehouses are called _____________________.

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In terms of the major functions performed by a DBMS, "maintaining data integrity" refers to which of the following?

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The principle of ________________ suggests that a majority of data is seldom accessed after a 3 month period.

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Despite the need for high-quality data, _________________ and technical issues often make it a difficult goal to achieve.

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Systems designed to manage volatile transaction data are called _________________________.

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Distributed databases use a Select Query SQ) architecture to process information requests.

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Data generated by business apps, sensors, and transaction processing systems TPS) are typically stored first in a ________________.

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Data marts are small-scale data warehouses that support a single function or department.

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Tweets and Facebook status updates are typical examples of "structured data" stored in databases.

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Many database management systems use __________________ for programming queries.

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