Database

2. Bases of Database systems concept characteristics architecture Database A database is a structured collection of data that can be efficiently retrieved and used in a variety of ways. Databases typically organize data so that users or computer programs can quickly find and select relevant data based on various attributes, such as searching for a book in a library by its title or author. Large companies Medium and small enterprises Databases play a central role in many different fields and applications, providing organized and efficient storage, management and retrieval of data. Most large companies and startups (over 90%) probably use some form of database to manage their information and operations, as data plays a key role in modern business. Micro-enterprises and individual entrepreneurs don't use it

3. Here are some examples of areas and ways to use databases: Business and FinanceCustomer base management: Storage and management of customer data, their orders and transactions.CRM Systems (Customer Relationship Management): To track interactions with customers and potential customers.Accounting and Financial Planning: For accounting of financial transactions and budgeting. EducationLearning Management Systems: For managing information about students, courses and grades. Library Systems: For managing data about books, authors and readers. 4.HealthcareMedical Information System: For recording patients, their medical data and medical history.Inventory Management: To track the availability and consumption of medical supplies and medicines. 5. TelecommunicationsSubscriber Management: To manage customer data and their tariffs and services.Billing systems: For accounting and billing for communication services. 6. Social NetworksUser Profiles: For storing information about users and their activity.Posts and Posts: To manage user content and user interaction.

4. a number of key points of the database Database Database Database Database Database 1960 1970 1980 1990 2000 With the advent of the concept of "Big Data" and the development of cloud computing technologies, databases have become even more scalable and flexible. Technologies such as Hadoop and various database platforms in the cloud, such as Amazon RDS, Google Cloud Firestore and Azure SQL Database, have provided new opportunities for data storage and analysis. The development of the Internet in the 1990s led to the need for more complex and scalable database systems. Databases have become more distributed, and technologies for processing large amounts of web data, such as NoSQL databases, have appeared. Edgar Codd, who works at IBM, published his famous article "A Relational Model of Data for Large Shared Data Banks", in which he introduced the concept of a relational database model. This was the key moment that marked the beginning of the development of relational databases such as Oracle, Microsoft SQL Server and MySQL. появились первые коммерческие системы управления базами данных (СУБД), такие как IBM's Information Management System (IMS), которые внедряли иерархические и сетевые модели данных. You can simply impress your audience and add a unique zing and appeal to your Presentations . Easy to change colors, photos and Text

5. Concept Database Management System (DBMS) Data and Information Database Content Here Database Management System (DBMS) process data

6. Characteristics Multi-user Access: DBMS Processing Speed: Scalability Reliability: Safety A database management System (DBMS) is a software that is used to create, manage and provide interaction with databases. Efficient and fast data extraction and processing. Способность системы поддерживать увеличение объема данных. Гарантия целостности и доступности данных. Защита данных от несанкционированного доступа. Support for simultaneous access of multiple users. Base Data

7. The DBMS provides the necessary tools for: Creation and modification of the database structure. Inserting, updating, and deleting data. Queries to data and their extraction. Maintaining data integrity and security. Backup and data recovery. Query optimization. DBMS examplesRelational databases: MySQL, PostgreSQL, Microsoft SQL Server, Oracle Database. NoSQL DBMS: MongoDB, Cassandra, Redis, Couchbase. In-memory DBMS: Redis, SAP HANA. Cloud DBMS: Amazon RDS, Google Cloud Firestore, Microsoft Azure SQL Database. Modern Portfolio Presentation UsingDatabases and DBMS are used in various fields for data storage and processing. For example:Web development: for storing site content, user data, etc. Business and Finance: for analyzing financial data and making strategic decisions. Scientific research: for storing and analyzing experimental data. Healthcare: for managing patient data and medical information.

8. Architecture Physical Layer Circuit Level (Logic Level) Presentation Level (Types) Describes the physical storage of data (how data is stored, how it is distributed, etc.). Describes the data structure and the relationships between them. Defines how data is presented and accessible to users and applications. The DBMS architecture determines how the system is organized and how users interact with the system: 01 02 03 04 05 06

9. SQL — это стандартизированный язык запросов, используемый для взаимодействия с реляционными базами данных.

10. Infographic Style Data Queries (Query Processing) 01 Allows users and applications to interact with the database by retrieving or modifying information. (Transaction Management) 02 Ensures data integrity and prevents conflicts when multiple transactions access data in parallel. (Backup and Recovery) 03 Minimizes the risk of data loss and ensures the reliability and availability of information.

11. In conclusion, the fundamentals of database systems, including their concepts, characteristics and architecture, leave a key imprint on modern data management technologies and practices. Databases provide structured storage, efficient access and management of large amounts of information. A conceptual understanding of their structure and mechanisms of operation, as well as the ability to use query languages, for example, SQL, is an important asset for any IT and data professional, providing support in making data and informed decisions in various fields of application.