Master the Database Approach

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.

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.