Database Programming

file oriented system is manual file maintain system that keep records in hard bind documents.

database is computer based structurally logically ordered data with the help of DBMS.

This prior answer is partially incorrect. File oriented systems are data systems that depended on sequential, ISAM(indexed sequential access method), and VSAM(visual storage access method) files without the benefits of database technology.

The Entity-Relationship diagram is the most helpful in designing a relational database to store object data. It visually represents entities, their attributes, and the relationships between them, providing a clear understanding of the database structure and enabling effective planning of tables and relationships.

Some common types of relational database management systems (RDBMS) include MySQL, PostgreSQL, Oracle Database, SQL Server, and SQLite. Each has its own features, strengths, and target use cases. Users can choose an RDBMS based on factors such as scalability, performance, cost, and specific requirements of their applications.

Query-based information extraction involves extracting specific information from a text based on a predefined query. This can be done using techniques such as named entity recognition, part-of-speech tagging, and syntactic parsing to identify relevant information based on the query parameters. Natural language processing or machine learning algorithms can be used to match the query with the text and extract the required information.

To select all records from the "Persons" table where the value of the column "FirstName" starts with 'a', you can use the following SQL query:

SELECT * FROM Persons WHERE FirstName LIKE 'a%';

This query will retrieve all records where the "FirstName" column starts with the letter 'a'.

Searchable databases are typically composed of three main parts: a database management system (DBMS) that stores and organizes data, a user interface that allows users to search and retrieve information, and a search engine that facilitates querying and retrieving data based on specific criteria.

Databases store electronic representations of data, but traditional file systems generally store paper with data written on it. In a traditional file system a file folder is the the way records are grouped, but in a database records are indexed in many ways, both by "file folder" and by record or data field. With relational database approaches relationships can be established between data in records and new records can be created from crossing files and even databases.

Paper-based storage systems are cost-effective, easy to use, and do not require electricity or specialized equipment to access information. Additionally, paper documents provide a physical backup in case of technology failures or cyber attacks. They also offer a sense of security and permanence for important records.

Offline website data refers to information stored on a user's device when they visit a website, often to allow the website to function properly even when the user is not connected to the internet. This data can include cached files, scripts, images, and other elements that can be accessed locally without needing to be downloaded from the web server every time.

Advantages of data merging include creating a comprehensive dataset, reducing redundancy, and improving data analysis. Limitations may include data inconsistencies, potential errors in merging, and increased complexity in managing the merged data. It's important to carefully plan and execute data merging to maximize its benefits and minimize its limitations.

The hierarchical data model organizes data in a tree-like structure with a single parent for each child record. On the other hand, the network data model allows for multiple parent-child relationships, creating a more flexible and complex network of interconnected records. In the hierarchical model, relationships are one-to-many, while in the network model, relationships can be many-to-many.

The data integrity is important in a database because it assures that all data in it can be traced and link to other data. This ensures that all the data can be searched and recover. It increases the stability , the performance and the reliability of a database.

Advantage: Databases allow for efficient storage and retrieval of large amounts of data, enabling quick access to information and supporting complex queries and analysis.

Disadvantage: Databases can be complex to set up and maintain, requiring specialized knowledge and resources. Additionally, databases can be susceptible to security breaches and data loss if not properly managed.

Proprietary data refers to information that is owned and controlled by a specific organization, usually confidential or sensitive in nature. This data is not meant to be shared with the public or competitors and is protected by intellectual property laws or agreements.

Data redundancy does not have specific advantages. It only causes disturbance to our applications. Seeing duplicate entries on screen is a bad experience for the users and also multiple entries of the same data may affect our calculations sometimes badly.

A request for data from a database is called a query. It is a command that is used to retrieve specific information from the database based on certain criteria.

A "schema-on-read" database is one that allows users to define the structure of the data as they access it, rather than enforcing a predefined schema. This approach allows for flexibility in data organization and analysis, making it a popular choice for big data and analytics applications.

The RELATION/table has 9 ATTRIBUTES/columns, and there are 200 TUPLES /rows in the RELATION/table.

A data model is a collection of concepts that can be used to describe the structure of a database and provides the necessary means to achieve this abstraction whereas structure of a database means the data types,relationships and constraints that should hold on the data.

Data model are divided into three different groups

they are

1)object based logical model

2)record based logical models

3)physical models

Types:

Entity-Relationship (E-R) Data Model

Object-Oriented Data Model

Physical Data Model

functional data model

A "query" is usually a programmatic statement that is understand by a DBMS(Database management system) that understands how to access and manipulate data within a database. The primary operations of a query are referred to as CRUD(Create, Read, Update, Delete) and the main programming language for writing queries is ANSI SQL.

Searching a database involves looking for specific information or records within a structured collection of data. This usually involves using keywords, queries, or filters to retrieve relevant results that meet the search criteria. The goal is to efficiently locate and retrieve the desired information from a large dataset.

Redundancy is the state where duplicate rows of the same data is available in a database.

Lets say we have an employee database which contains 2 rows of the following data

Emp num Emp Name Age

12345 John 25

12345 John 25

This is data redundancy.

Data redundancy can be avoided by the use of keys in tables. If in the employee table we had defined a primary key condition for employee number, then the system would not allow us to enter 2 rows of the same data.

An object-oriented database (OODB) is a type of database that stores data in objects rather than in tables, making it easier to represent complex relationships and hierarchies in data. OODBs are designed to work well with object-oriented programming languages and frameworks.

Yes, that is correct. A query datasheet presents a logical view of the data because it displays the information based on the query conditions without physically storing it. The data itself remains stored in the underlying tables of the database.