Database Programming

As stored procedure in procedural code, which usually calculates or changes some data.

An index is a database object which aids in quick location of records because it is internally ordered in a optimized way for the specific key

The process involves understanding the information that needs to be stored, defining the relationships between different types of data, and organizing the data into tables based on these relationships. Columns are then defined within each table to represent specific attributes or data points. Normalization techniques may be employed to ensure data integrity and efficiency in querying.

There is only one way to get your data from the databases with struts 2 and hibernate without having to touch the source code. You can achieve this by heading into the contact manager application.

The main theories of a relational database approach include the relational model, which organizes data into tables with rows and columns; normalization, which reduces data redundancy and improves data integrity; and SQL (Structured Query Language), which is used to interact with the database for querying and manipulation of data. These theories aim to ensure data consistency, provide flexibility in querying data, and allow for scalability in managing large volumes of data.

The "primary key" is the identifier that database systems use to identify a record uniquely.

A relational database is a collection of data organized in a way that allows for data retrieval, storage, and manipulation based on predefined relationships between the data. SQL is commonly used to query and manage the data stored in a relational database.

In a database, you would expect to find organized and structured information such as financial transactions, customer details, inventory records, employee data, product information, and more. Databases are designed to store large volumes of data efficiently and allow for easy retrieval and manipulation of that data.

System Analysis.

SQL (Structured Query Language) was developed by IBM in the 1970s. It was initially known as SEQUEL (Structured English Query Language) and was later standardized by the American National Standards Institute (ANSI) and the International Organization for Standardization (ISO).

An entity is an individual, organization, or object that is considered to be separate and distinct. In business or legal contexts, an entity can refer to a company, corporation, or institution that has its own legal existence.

The EMM database is the largest part of the Netbackup metadata. This database stores information about all the resources in the Netbackup environment, such as clients, media servers, policies, and backup images. It is essential for managing and tracking data protection activities.

With centralized data processing, one advantage is that you can control all the processing for your business from one location. If you're working on a terminal and it goes down, you can log into another one and keep working. On the other hand, if the central computer goes down, no work can be done on any of the terminals. This is the biggest disadvantage.

Data diddling refers to the unauthorized manipulation of data by changing, deleting, or inserting information for personal gain or to cause harm. This can occur within a computer system or database, often resulting in fraudulent activities or compromised data integrity.

Unencrypted readable data is data that is not hidden and is available for others to read. Encrypted data is data that is not hidden or put into a code for only certain people to decipher it. It is as clear as this text. This is often also called plaintext.

CLC (Corine Land Cover) is a thematic geospatial dataset produced by the European Environment Agency. It provides information on land cover and land use across Europe. The dataset classifies various land cover types such as forests, agriculture, urban areas, and water bodies. This data is widely used for environmental monitoring, planning, and policy-making.

This statement is incorrect. Data redundancy refers to storing the same piece of data in multiple places, leading to inefficiency and inconsistency. A group of related fields is known as a database or a record in a database.

Employees use information systems to access company documents, communicate with colleagues, track tasks and projects, analyze data, and make informed decisions. These systems help streamline work processes, improve efficiency, and facilitate collaboration among team members.

Personally, I would go with a text field. It will allow for non US postal codes like those used in Canada.

Tabular data is usually presented in a table format, with rows representing individual records or observations, and columns representing the attributes or variables of those records. This format allows for easy comparison and organization of the data.

A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.

The process typically involves normalizing the database by breaking down data into separate tables to eliminate redundant information and creating one-to-many relationships instead of many-to-many relationships. This helps reduce data duplication and ensures efficient data storage and retrieval. The use of foreign keys can also help establish relationships between different tables, leading to a more streamlined database design.

The tool that enables users to view data in different ways using multiple dimensions is called a pivot table. Pivot tables allow users to reorganize and summarize data in a spreadsheet or database based on different criteria, such as rows, columns, and filters, making it easier to analyze and draw insights from the data.

An attribute is a characteristic or property of an entity, and is also referred to as a field or column.

Some disadvantages of subject filing systems include the possibility of inconsistent categorization leading to difficulty in finding specific documents, the need for extensive maintenance to keep categories updated and relevant, and the potential for information overload if subjects become too broad.