Master the Database Approach

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Questions and Answers

What are the characteristics of high-quality data?

Accurate, incomplete, untimely, inconsistent, inaccessible, irrelevant, and verbose.

Accurate, complete, timely, inconsistent, inaccessible, relevant, and verbose.

Inaccurate, incomplete, untimely, inconsistent, inaccessible, irrelevant, and concise.

Accurate, complete, timely, consistent, accessible, relevant, and concise. (correct)

What is data governance?

A type of database that stores data as objects, which are instances of classes that define the attributes and methods of the objects.

An approach to managing information across an entire organization, involving formal processes and policies to ensure that data are handled in a certain, well-defined fashion. (correct)

A process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely “single version of the truth” for the company’s master data.

A set of core data that span the enterprise’s information systems.

What is master data management?

A type of database that stores data as objects, which are instances of classes that define the attributes and methods of the objects.

A set of core data that span the enterprise’s information systems.

An approach to managing information across an entire organization, involving formal processes and policies to ensure that data are handled in a certain, well-defined fashion.

A process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely “single version of the truth” for the company’s master data. (correct)

What is the difference between master data and transactional data?

Master data are a set of core data that span the enterprise’s information systems, while transactional data describe the business’s activities or transactions. Signup and view all the answers

What are the advantages of the database approach?

Minimizing data redundancy, data isolation, and data inconsistency, while maximizing data security, data integrity, and data independence. Signup and view all the answers

What is a relational database?

The most widely used type of database, in which data are organized into tables with rows and columns, and relationships between tables are established using keys. Signup and view all the answers

What is an object-oriented database?

A type of database that stores data as objects, which are instances of classes that define the attributes and methods of the objects. Signup and view all the answers

What is a NoSQL database?

Non-relational databases that are designed to handle large volumes of unstructured or semi-structured data, such as social media data and sensor data. Signup and view all the answers

What are the characteristics of high-quality data?

Accurate, complete, timely, consistent, accessible, relevant, and concise Signup and view all the answers

What is data governance?

An approach to managing information across an entire organization Signup and view all the answers

What is master data management?

A process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely “single version of the truth” for the company’s master data Signup and view all the answers

What is the difference between master data and transactional data?

Master data are a set of core data that span the enterprise’s information systems, while transactional data describe the business’s activities or transactions Signup and view all the answers

What is the database approach?

An approach to storing and accessing data that eliminates many problems that arose from previous methods of storing and accessing data Signup and view all the answers

What are the benefits of database systems?

Minimize data redundancy, data isolation, and data inconsistency, while maximizing data security, data integrity, and data independence Signup and view all the answers

What are relational databases?

Databases in which data are organized into tables with rows and columns, and relationships between tables are established using keys Signup and view all the answers

What are NoSQL databases?

Non-relational databases that are designed to handle large volumes of unstructured or semi-structured data, such as social media data and sensor data Signup and view all the answers

What are the key characteristics of high-quality data?

Accurate, complete, timely, consistent, accessible, relevant, and concise Signup and view all the answers

What is data governance?

An approach to managing information across an entire organization Signup and view all the answers

What is master data management?

What is the difference between master data and transactional data?

Master data span the enterprise’s information systems, while transactional data describe the business’s activities or transactions Signup and view all the answers

What is the database approach?

An approach to storing and accessing data that eliminates many problems that arose from previous methods, such as file management systems Signup and view all the answers

What is the most widely used type of database?

Relational databases Signup and view all the answers

What are object-oriented databases?

Databases that store data as objects, which are instances of classes that define the attributes and methods of the objects Signup and view all the answers

What are NoSQL databases designed to handle?

Large volumes of unstructured or semi-structured data, such as social media data and sensor data Signup and view all the answers

Study Notes

Managing Data and the Database Approach

IT applications require high-quality data that are accurate, complete, timely, consistent, accessible, relevant, and concise.
Managing data is becoming increasingly difficult due to the exponential increase in the amount of data, the multiple sources and locations of data, and the constantly changing nature of data.
Data governance is an approach to managing information across an entire organization, involving formal processes and policies to ensure that data are handled in a certain, well-defined fashion.
Master data management is a process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely “single version of the truth” for the company’s master data.
Master data are a set of core data that span the enterprise’s information systems, while transactional data describe the business’s activities or transactions.
The database approach, which emerged in the early 1970s, eliminates many problems that arose from previous methods of storing and accessing data, such as file management systems.
Databases are arranged so that one set of software programs—the database management system—provides all users with access to all of the data.
Database systems minimize data redundancy, data isolation, and data inconsistency, while maximizing data security, data integrity, and data independence.
The database approach has evolved to include relational databases, object-oriented databases, and NoSQL databases.
Relational databases are the most widely used type of database, in which data are organized into tables with rows and columns, and relationships between tables are established using keys.
Object-oriented databases store data as objects, which are instances of classes that define the attributes and methods of the objects.
NoSQL databases are non-relational databases that are designed to handle large volumes of unstructured or semi-structured data, such as social media data and sensor data.

Managing Data and the Database Approach

IT applications require high-quality data that are accurate, complete, timely, consistent, accessible, relevant, and concise.
Managing data is becoming increasingly difficult due to the exponential increase in the amount of data, the multiple sources and locations of data, and the constantly changing nature of data.
Data governance is an approach to managing information across an entire organization, involving formal processes and policies to ensure that data are handled in a certain, well-defined fashion.
Master data management is a process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely “single version of the truth” for the company’s master data.
Master data are a set of core data that span the enterprise’s information systems, while transactional data describe the business’s activities or transactions.
The database approach, which emerged in the early 1970s, eliminates many problems that arose from previous methods of storing and accessing data, such as file management systems.
Databases are arranged so that one set of software programs—the database management system—provides all users with access to all of the data.
Database systems minimize data redundancy, data isolation, and data inconsistency, while maximizing data security, data integrity, and data independence.
The database approach has evolved to include relational databases, object-oriented databases, and NoSQL databases.
Relational databases are the most widely used type of database, in which data are organized into tables with rows and columns, and relationships between tables are established using keys.
Object-oriented databases store data as objects, which are instances of classes that define the attributes and methods of the objects.
NoSQL databases are non-relational databases that are designed to handle large volumes of unstructured or semi-structured data, such as social media data and sensor data.

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Description

Test your knowledge on managing data and the database approach with this informative quiz. Learn about data governance, master data management, and the different types of databases, including relational, object-oriented, and NoSQL. Discover how the database approach has revolutionized the way we store and access data while minimizing data redundancy and maximizing data security.