51 Questions
What is the most popular type of DBMS today for PCs as well as for larger computers and mainframes?
Relational DBMS
How does the DBMS help in reducing program development and maintenance costs?
By enabling data to stand on their own
What is the primary representation of data in relational databases?
Two-dimensional tables
Which DBMS is specifically mentioned as suitable for desktop systems?
Microsoft Access
Which type of database offers flexible data models and is used for managing large distributed data sets?
NoSQL databases
Which technology did AstraZeneca use for next-generation genome sequencing to develop drugs?
MongoDB NoSQL database
What type of database technology does Google offer as a cloud service?
Spanner distributed database technology
What do data warehouses store for decision makers?
Both current and historical data
What is the purpose of Crystal Reports in the context of databases?
Report generation for structured data display
Which type of database technology is used for creating and verifying transactions?
Blockchain
What type of databases require conceptual and physical designs with relational and nonrelational models?
Relational databases
Which company used Oracle NoSQL Database for managing large distributed data sets?
None of the above
What type of database technology do cloud computing vendors offer as a service?
Both relational database engines and distributed databases
What is the primary function of Microsoft Access in terms of database management?
Developing desktop system applications
Which type of databases store current and historical data for decision makers?
Data warehouses
What is the main purpose of a distributed database technology like Spanner offered by Google?
Managing large distributed data sets
What is the main purpose of a data mart?
To provide rapid access to data for specific user populations
Which company uses data marts for point-of-sale data, college bookstore sales, and online sales?
Barnes & Noble
What is one of the key features of Hadoop?
Distributed parallel processing
Which database provides rapid access to data stored on HDFS?
HBase
What type of data can Hadoop process?
Loosely structured data and complex data
How does Hadoop run?
On a cluster of inexpensive servers
What is a common use of Hadoop in companies?
Analyzing large data volumes
What is the main advantage of in-memory computing?
Eliminating bottlenecks and shortening query response times
Which products are leading in-memory database products?
SAP HANA, Oracle Database In-Memory, Microsoft SQL Server
What are analytic platforms specialized for?
Analyzing large data sets
What is a data lake used for?
Storing raw unstructured or structured data
What is a primary key in a relational database?
A field that uniquely identifies each record in a table
What is the purpose of a foreign key in a relational database?
To look up data about the supplier of a specific part
What is the function of data manipulation language in a DBMS?
Adding, changing, deleting, and retrieving data
What is the purpose of a data dictionary in a DBMS?
To specify database structure and store definitions of data elements
What is the role of SQL in a DBMS?
Retrieving information from the database
What are the entities represented by separate tables in a relational database?
SUPPLIER and PART
What is the term for individual information about a single supplier in a table?
Row or record
How are relational database tables combined to provide required data?
Through operations: select, join, and project
What is the function of a primary key in a relational database?
Uniquely identifying each record in a table
What is the purpose of a data dictionary in a DBMS?
To specify database structure and store definitions of data elements
What is the function of SQL in a DBMS?
Retrieving information from the database
What are the entities represented by separate tables in a relational database?
SUPPLIER and PART
What is the role of clustering in data mining?
Identifying different groupings within data
What does forecasting in data mining involve?
Using existing values to predict future values
What is the significance of unstructured data in text mining and web mining?
It is used to extract key elements from unstructured text
What is the primary focus of Chapter 12 in the context of Business Intelligence and Data Mining?
BI users and reporting
What is the impact of inaccurate data on businesses, according to Gartner Inc.?
It can have detrimental effects on businesses
What is the application of data mining in various business sectors?
Analyzing customer data for business insights
What is the significance of information policy in managing data as an organizational resource?
It ensures proper management and utilization of data
What is the need for data quality assurance in organizations?
To maintain the accuracy and reliability of data
How does text mining tools benefit from unstructured data?
By extracting key elements from unstructured text
What is the prevalence of data quality problems in large companies, as mentioned in the text?
Including bad product codes and descriptions
What is the focus of Caesars Entertainment's use of data mining?
Analyzing customer data for business insights
What is the primary use of classification in data mining?
Identifying patterns and rules
Study Notes
Business Intelligence and Data Mining
- Chapter 12 delves into BI users and reporting
- Classification and its use in identifying patterns and rules
- Clustering's role in discovering different groupings within data
- Forecasting's use of existing values to predict future values
- Data mining's applications in various business sectors
- Caesars Entertainment's use of data mining to analyze customer data
- Unstructured data's significance and its use in text mining and web mining
- Text mining tools' ability to extract key elements from unstructured text
- The importance of information policy in managing data as an organizational resource
- The need for data quality assurance in organizations
- The impact of inaccurate data on businesses, as reported by Gartner Inc.
- The prevalence of data quality problems in large companies, including bad product codes and descriptions
Test your knowledge with this quiz covering topics such as BI users, reporting, classification, clustering, forecasting, data mining applications, text mining, information policy, and data quality assurance.
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