МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ:
ТЕОРИЯ И ПРАКТИКА
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DATABASE AND THEIR TYPES
Hasan Rustamovich Rasulov
Asia International University, teacher of the "General Technical Sciences"
department
Abstract:
This article analyzed databases and their types. Detailed
information was given on what databases are, their main features, methods of
data storage and management. The article covers different types of databases,
including relational, noSQL, in-memory, and cloud databases . For each type,
their advantages and disadvantages are discussed, and recommendations are
made as to which database is best to use for different purposes.
Keywords:
Database, relational database, NoSQL, in-memory database,
cloud database, data management system (DBMS), data integration, data security,
transactions, indexing, replication , accuracy and integrity of data.
Enter
Databases are an integral part of modern information technology
infrastructure. They provide different ways to store, manage, process and
analyze data. Databases consist of several basic types of technology, which are
covered by the following key concepts:
A database
is a structure that enables systematic storage and management of
data. Databases allow you to store, analyze, and retrieve information from simple to
complex data. The data stored in it is organized in a certain format, which allows
efficient data management. Databases allow large amounts of data to be stored in
one place by different applications and users.
A relational database (RDBMS)
is a traditional way of storing and managing
data in tabular form. Relational databases store and access relationships between
data at a high level of precision. Databases of this type support advanced features
such as transaction control, aggregation, normalization, and indexing, which ensure
safe and consistent data management. Advantages — data integrity, normalization,
and strong transaction control. Disadvantages — vertical scaling is often required
and is not optimized for large dynamic data.
МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ:
ТЕОРИЯ И ПРАКТИКА
Researchbib Impact factor: 11.79/2023
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NoSQL
is an alternative method for non-structured, semi-structured and dynamic
forms of data storage and management. NoSQL databases allow fast and efficient
processing of large amounts of data and are used in distributed systems. Their
advantages are high scalability, speed and the ability to store many types of data.
The disadvantages are that it is not optimized for complex queries and transactions.
In-memory database
— provides high-speed performance by storing data in
RAM. This type of database is suitable for applications that require real-time
analysis and fast data processing. Advantages - high speed and low latency,
disadvantages - large amount of data storage requires a lot of memory and the cost
of data storage.
Cloud database
— designed using cloud infrastructure to store and manage data.
This type of database is characterized by easy expansion for users, high availability
and reliability. Cloud databases are especially ideal for applications that need to
handle variable data volumes or large data streams. Advantages — automatic
expansion, cost efficiency; the disadvantages are internet addiction and delays.
A database management system (DBMS)
is software that automates the
creation, management, and use of databases. A DBMS allows users to effectively
manage and work with data, which includes security, transaction management, and
maintaining data integrity. Advantages — easy data management, meeting different
user requirements; its disadvantages are that it may require high software and
hardware resources.
Data integration
is the process of combining and managing data from different
sources and formats. Integration ensures data is complete and accurate, which is
important for maintaining data continuity between systems. Advantages —
improved data flow integrity and management; the disadvantages are complex
integration processes and can increase costs.
Data security
is a set of practices aimed at protecting data from unauthorized
access and protecting it from malicious software. Data security ensures
confidentiality, integrity and availability. Advantages — data protection; the
disadvantages are the cost and complexity of security.
МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ:
ТЕОРИЯ И ПРАКТИКА
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Transactions
are processes that require one or more operations to be performed
together and follow ACID (Atomicity, Consistency, Isolation, Permanence)
properties. Advantages — data integrity and consistent storage; the disadvantages
are that it requires a lot of resources and causes delays.
Indexing
is a technique used to optimize data retrieval and access. Indexing
increases the speed of data access, but it may take time to update them. Advantages
— increasing the efficiency of search operations; its disadvantages are that it
requires a lot of space and slows down some operations.
Replication
is the process of storing and synchronizing data in multiple copies,
which increases system reliability and ensures data availability in case of failures or
hard disk failure. Advantages — high availability and continuity; and the
disadvantages are delays in synchronization and the possibility of data
inconsistencies.
Data accuracy and integrity
is a set of practices aimed at ensuring the accuracy
and consistency of data. Accuracy and integrity help prevent incorrect or conflicting
information from appearing in a database. Advantages — reliability and accuracy of
information; the disadvantages are the need for additional verification and
management processes.
Summary
Databases are an integral part of modern IT infrastructure and offer various
methods for efficient storage, management and use of data. This article examines
the various types of databases, including relational, NoSQL, in-memory, and cloud
databases, along with their key features, advantages, and disadvantages. Each type
may be the best choice for a specific purpose and use case; for example, relational
databases are suitable for situations where consistency and integrity are required,
while NoSQL databases are suitable for working with large volumes of fast data.
The article also covers important concepts such as data management systems,
security, indexing, and replication, and shows ways to ensure data reliability,
availability, and performance. Through this analysis, it is possible to understand and
choose which type of database is most suitable for different purposes and
МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ:
ТЕОРИЯ И ПРАКТИКА
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SJIF 2024 = 5.444
Том 2, Выпуск 9, 30 Сентябрь
276
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applications. This helps to increase the efficiency and reliability of data
management.
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