The document discusses database management systems (DBMS) and relational database management systems (RDBMS). It defines key concepts like data, structured, semi-structured and unstructured data, databases, tables, relationships, and SQL. A DBMS stores data across various formats and provides features for data validation, integrity, and sharing. An RDBMS is designed for structured data in tables with relationships and uses SQL. The document provides examples of creating tables and programming in SQL with queries, inserts, updates and joins.
Lec20.pptx introduction to data bases and information systemssamiullahamjad06
The document provides an overview of databases and information systems. It defines what a database is, how data is organized in a hierarchy from bits to files, and the different types of database models including hierarchical, network, and relational. It also discusses how structured query language and query by example are used to retrieve data in relational databases. Finally, it outlines different types of computer-based information systems used in organizations like transaction processing systems, management information systems, and decision support systems.
This document provides an introduction to Microsoft Access databases. It defines what a database is and describes the key components of an Access database, including tables, queries, forms and reports. It also outlines common database terminology like records, fields, primary keys and relationships. Database objects in Access are described as well as different data types. The document concludes by covering how to create a new blank Access database.
This document provides an overview of Microsoft Access, including:
1. MS Access allows users to create and work with databases, tables, queries, forms, and reports. It combines a relational database engine with tools for database development.
2. Key objects in an Access database include tables (which store data), queries (which retrieve and organize data), forms (which provide interfaces for data entry and display), and reports (which format data for presentation).
3. Access allows for data definition, manipulation, and control. It supports features like integrity constraints to maintain data quality, and allows for multiple simultaneous users through its client/server capabilities.
A database management system (DBMS) stores and manages data and provides efficient ways to store, retrieve, and manipulate that data. The primary goals of a DBMS are to provide convenient and efficient ways to store and retrieve database information. It uses tables to represent entities, their relationships, and the data, with each table having multiple columns and rows. Some common DBMSs are Microsoft Access, which is designed for small home or business databases, and SQL Server, which is intended for larger server-based databases accessed remotely.
PL/SQL is a standard and portable language for Oracle Database development. If you develop a program that executes on an Oracle Database, you can quickly move it to another compatible Oracle Database without any changes. PL/SQL is an embedded language. PL/SQL only can execute in an Oracle Database.
I published a 1-hour youtube video that covers all the essential topics that are there to know about the Microsoft Azure Data Fundamentals DP 900 exam. I made sure to only include relevant exam-related topics and not to bombard you with a lot of irrelevant details at the same time, I wanted to cover the basics of each topic with a demo wherever necessary. I also wanted to validate the content of my video hence, I gave the exam before publishing the video and got an easy 900 marks with just the content I published in this video. If you plan to give this certification exam or are interested in learning Azure data fundamentals DP 900 concepts, feel free to check out this video.
https://youtu.be/jopyoCgQjkM
Please watch the video till the end as I have included important tips and pointers to the exam in each of the topics which would help you with lots of questions in the Microsoft Azure data fundamentals DP 900 exam.
This video is sufficient for you to pass the exam. Good luck!
The document discusses relational databases and how they organize data into tables that can be accessed and reassembled in different ways without reorganizing the tables, it also covers how PeopleSoft uses a 3-tier architecture called PeopleSoft Internet Architecture (PIA) consisting of a web browser, web server, application server and database server to deliver pure internet applications to users. PIA provides advantages over traditional client/server architectures like thin clients, improved performance, and the ability to scale more easily to meet increasing user demands.
The document provides an overview of database systems and their components. It discusses the purpose of database systems, database languages, data models, database internals including storage management, query processing and transaction management. It also describes different types of database users and the role of the database administrator.
dbms Unit 1.pdf arey bhai teri maa chodungaVaradKadtan1
This document provides an introduction and overview of database management systems (DBMS). It discusses that a DBMS allows for the storage and retrieval of data in a database. It notes some key advantages of DBMS like managing large amounts of data, ensuring data integrity, and allowing multiple users to access shared data. The document also describes database applications, levels of data abstraction, instances and schemas, common data models, and database languages.
The document provides an overview of SQL Server training. It defines data and databases, explaining that a collection of data leads to a database. It also discusses database management systems (DBMS), explaining that a DBMS allows users to create, read, update and delete data in an organized way. The document also covers types of databases like hierarchical, network, relational and object-oriented databases. It focuses on relational database management systems (RDBMS) and discusses advantages like storing data uniquely and performing complex queries. Finally, it discusses Microsoft SQL Server in more detail.
This document provides an overview of key concepts related to database management and business intelligence. It discusses the database approach to data management, including entities, attributes, relationships, keys, normalization, and entity-relationship diagrams. It also covers relational database management systems, their operations, capabilities and querying languages. Additional topics include big data, business intelligence tools for capturing, organizing and analyzing data, and ensuring data quality. The agenda outlines a review of chapters from the textbook and an in-class ERD exercise in preparation for the first exam.
Introduction to Database Management Systems: Structure, Applications, and Key...Mahmud Hasan Tanvir
Explore the essentials of Database Management Systems (DBMS), including fundamental concepts, key applications in various industries, and advantages like data integrity, security, and independence. This presentation delves into data models such as hierarchical, network, relational, and object-oriented models, with practical examples and a deep dive into the structure and functions of tables, records, fields, and keys.
01-Database Administration and Management.pdfTOUSEEQHAIDER14
This document provides an introduction and overview of database systems. It discusses the purpose of database systems in addressing issues with file-based data storage like data redundancy, inconsistent data, and difficulty of data access. It also describes database applications, data models, database languages like SQL, database design, database architecture, and the major components of a database system including the storage manager, query processor, and transaction manager.
Utsav Mahendra : Introduction to Database and managemnetUtsav Mahendra
This document provides an overview of database design and management. It discusses what a database management system (DBMS) is and its primary goals of storing and retrieving data. It also describes some common database applications and compares file systems to DBMSs. The document outlines different views of data including data abstraction, instances, and schemas. It introduces several data models including the entity-relationship model and relational model. Finally, it discusses database languages, users, and the role of the database administrator.
The document discusses the shift from file-based data management systems to database management systems (DBMS). It outlines some key issues with file systems like data redundancy, inconsistency, difficult data access and lack of backup/recovery. It then introduces basic DBMS concepts like database, tables, records, fields, keys and benefits like reduced redundancy, data sharing and integrity. It also covers SQL components like DDL, DML, data types and basic CREATE TABLE syntax.
This document provides an overview of Microsoft Access, including its pros and cons, different database objects like tables and forms, and how to build an Access database. The key points are:
1) Access allows users to create database applications without programming knowledge through its easy-to-use interface.
2) While Access is limited for web applications, it supports integration with Microsoft and non-Microsoft systems through its tables, forms, and reports.
3) The main objects in an Access database are tables (which hold data), forms (which provide interfaces to view and edit data), and reports (which present data in a printed format).
Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.
PL/SQL is a standard and portable language for Oracle Database development. If you develop a program that executes on an Oracle Database, you can quickly move it to another compatible Oracle Database without any changes. PL/SQL is an embedded language. PL/SQL only can execute in an Oracle Database.
I published a 1-hour youtube video that covers all the essential topics that are there to know about the Microsoft Azure Data Fundamentals DP 900 exam. I made sure to only include relevant exam-related topics and not to bombard you with a lot of irrelevant details at the same time, I wanted to cover the basics of each topic with a demo wherever necessary. I also wanted to validate the content of my video hence, I gave the exam before publishing the video and got an easy 900 marks with just the content I published in this video. If you plan to give this certification exam or are interested in learning Azure data fundamentals DP 900 concepts, feel free to check out this video.
https://youtu.be/jopyoCgQjkM
Please watch the video till the end as I have included important tips and pointers to the exam in each of the topics which would help you with lots of questions in the Microsoft Azure data fundamentals DP 900 exam.
This video is sufficient for you to pass the exam. Good luck!
The document discusses relational databases and how they organize data into tables that can be accessed and reassembled in different ways without reorganizing the tables, it also covers how PeopleSoft uses a 3-tier architecture called PeopleSoft Internet Architecture (PIA) consisting of a web browser, web server, application server and database server to deliver pure internet applications to users. PIA provides advantages over traditional client/server architectures like thin clients, improved performance, and the ability to scale more easily to meet increasing user demands.
The document provides an overview of database systems and their components. It discusses the purpose of database systems, database languages, data models, database internals including storage management, query processing and transaction management. It also describes different types of database users and the role of the database administrator.
dbms Unit 1.pdf arey bhai teri maa chodungaVaradKadtan1
This document provides an introduction and overview of database management systems (DBMS). It discusses that a DBMS allows for the storage and retrieval of data in a database. It notes some key advantages of DBMS like managing large amounts of data, ensuring data integrity, and allowing multiple users to access shared data. The document also describes database applications, levels of data abstraction, instances and schemas, common data models, and database languages.
The document provides an overview of SQL Server training. It defines data and databases, explaining that a collection of data leads to a database. It also discusses database management systems (DBMS), explaining that a DBMS allows users to create, read, update and delete data in an organized way. The document also covers types of databases like hierarchical, network, relational and object-oriented databases. It focuses on relational database management systems (RDBMS) and discusses advantages like storing data uniquely and performing complex queries. Finally, it discusses Microsoft SQL Server in more detail.
This document provides an overview of key concepts related to database management and business intelligence. It discusses the database approach to data management, including entities, attributes, relationships, keys, normalization, and entity-relationship diagrams. It also covers relational database management systems, their operations, capabilities and querying languages. Additional topics include big data, business intelligence tools for capturing, organizing and analyzing data, and ensuring data quality. The agenda outlines a review of chapters from the textbook and an in-class ERD exercise in preparation for the first exam.
Introduction to Database Management Systems: Structure, Applications, and Key...Mahmud Hasan Tanvir
Explore the essentials of Database Management Systems (DBMS), including fundamental concepts, key applications in various industries, and advantages like data integrity, security, and independence. This presentation delves into data models such as hierarchical, network, relational, and object-oriented models, with practical examples and a deep dive into the structure and functions of tables, records, fields, and keys.
01-Database Administration and Management.pdfTOUSEEQHAIDER14
This document provides an introduction and overview of database systems. It discusses the purpose of database systems in addressing issues with file-based data storage like data redundancy, inconsistent data, and difficulty of data access. It also describes database applications, data models, database languages like SQL, database design, database architecture, and the major components of a database system including the storage manager, query processor, and transaction manager.
Utsav Mahendra : Introduction to Database and managemnetUtsav Mahendra
This document provides an overview of database design and management. It discusses what a database management system (DBMS) is and its primary goals of storing and retrieving data. It also describes some common database applications and compares file systems to DBMSs. The document outlines different views of data including data abstraction, instances, and schemas. It introduces several data models including the entity-relationship model and relational model. Finally, it discusses database languages, users, and the role of the database administrator.
The document discusses the shift from file-based data management systems to database management systems (DBMS). It outlines some key issues with file systems like data redundancy, inconsistency, difficult data access and lack of backup/recovery. It then introduces basic DBMS concepts like database, tables, records, fields, keys and benefits like reduced redundancy, data sharing and integrity. It also covers SQL components like DDL, DML, data types and basic CREATE TABLE syntax.
This document provides an overview of Microsoft Access, including its pros and cons, different database objects like tables and forms, and how to build an Access database. The key points are:
1) Access allows users to create database applications without programming knowledge through its easy-to-use interface.
2) While Access is limited for web applications, it supports integration with Microsoft and non-Microsoft systems through its tables, forms, and reports.
3) The main objects in an Access database are tables (which hold data), forms (which provide interfaces to view and edit data), and reports (which present data in a printed format).
Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.
Thingyan is now a global treasure! See how people around the world are search...Pixellion
We explored how the world searches for 'Thingyan' and 'သင်္ကြန်' and this year, it’s extra special. Thingyan is now officially recognized as a World Intangible Cultural Heritage by UNESCO! Dive into the trends and celebrate with us!
This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
4. What is a database?
• A structured collection of data that is organized in a way that
allows for efficient storage, retrieval, and management of
information.
• It is a computerized system that enables users to store,
manage, and access data according to specific requirements.
• A database can contain various types of information, including
text, images, videos, and numerical data.
5. Importance of Database
• Data Organization - Databases provide a structured and
organized way to store, manage and retrieve data. This allows
for efficient access and retrieval of the required data, while
minimizing data redundancy and inconsistency.
• Data Integrity - Databases use various techniques, such as
validation rules, constraints, and referential integrity, to ensure
that the data stored in them is accurate and consistent. This
reduces the risk of data errors and inconsistencies, which can
lead to incorrect decisions and wasted time and resources.
6. Importance of Database
• Scalability - Databases can handle large amounts of data and
can scale to support increasing amounts of data over time. This
is especially important for businesses that need to store and
manage large volumes of data, such as customer information,
sales data, and financial transactions.
• Security - Databases provide various security features, such as
user authentication, access control, and data encryption, to
protect sensitive data from unauthorized access and ensure
data privacy and confidentiality.
7. Importance of Database
• Efficiency - Databases provide optimized mechanisms for data
retrieval and manipulation, which helps improve the efficiency of
data processing and analysis. This can result in faster and more
accurate decision-making and can improve overall business
performance.
8. Relational Database
• A relational database is a type of database that organizes data
into one or more tables with a predefined structure of columns
and rows
• The relationships between the tables are defined through keys,
such as primary keys and foreign keys, which allow data to be
linked and accessed across multiple tables.
9. Relational Database
• Relational databases use Structured Query Language (SQL) to
manipulate and retrieve data. SQL allows users to insert,
update, delete, and query data within the database, and
supports a wide range of operations and functions for data
analysis and reporting.
11. Tables
• Structured sets of data that organize
information into rows and columns.
• Each table represents a single entity, such
as a customer or a product, and contains
specific attributes or fields that describe
that entity.
12. Columns
• Also known as fields, are the vertical
components of a table that contain
specific types of data.
• Each column is associated with a data
type, such as text, number, or date, which
defines the type of data that can be stored
in that column.
13. Data Types
• INT - Used to store integer values (whole numbers) within a
specified range.
• FLOAT - Used to store floating-point numbers (numbers with a
decimal point).
• CHAR - Used to store fixed-length character strings (strings of
characters with a fixed length).
• VARCHAR - Used to store variable-length character strings
(strings of characters with a varying length).
• DATETIME - Used to store both date and time values.
14. Data Types
• BIT - Used to store Boolean values (true/false values).
• VARBINARY - Used to store variable-length binary data.
• TEXT - Used to store large amounts of text data.
• DECIMAL - Used to store decimal numbers with a fixed number
of digits before and after the decimal point.
• MONEY - Used to store currency values.
15. Rows
• Rows - also known as records, are the horizontal components of a table that represent individual instances
of an entity. Each row contains data that corresponds to the attributes or fields defined by the columns.
16. Primary and Foreign
Keys
Primary Keys - Unique identifiers that are used to uniquely
identify each row in a table. They ensure that each record is
unique and can be referenced and linked to other tables
within the database.
Foreign Keys - attributes in a table that are linked to the
primary key of another table. They are used to establish
relationships between tables, allowing data to be retrieved
and analyzed across multiple tables.
17. Database Management System
• A software system that allows users to store, organize, and
manage data in a database.
• It provides a way to manage the interactions between the
database and the applications that use it, allowing users to
create, modify, and retrieve data in a controlled and efficient
manner.
18. Database Management System
• The main components of a DBMS include:
• Data Definition Language (DDL) - used to define the structure of the
database and its components
• Data Manipulation Language (DML) - used to insert, update, and
delete data in the database, and the query language, which is used to
retrieve and analyze data.
• There are various types of DBMS available, including relational,
NoSQL, object-oriented, and hierarchical DBMS. Each type has
its own strengths and weaknesses and is suited for different use
cases and applications.
19. Database Management System
• There are various types of DBMS available, including relational,
NoSQL, object-oriented, and hierarchical DBMS. Each type has
its own strengths and weaknesses, and is suited for different
use cases and applications.
20. Structured Query Language (SQL)
• A programming language used to manage and manipulate
relational databases. SQL allows users to interact with
databases to create, modify, and retrieve data, as well as
perform various other tasks related to database management
and administration.
21. Structured Query Language (SQL)
• SQL syntax is straightforward and intuitive, with commands
such as SELECT, INSERT, UPDATE, and DELETE used to
perform common database operations. SQL also includes a
range of functions and operators for data analysis and
manipulation, as well as the ability to join tables together to
retrieve data across multiple tables.
23. CREATE TABLE
Used to create a new table
CREATE TABLE table_name (
column1 datatype,
column2 datatype,
column3 datatype
);
24. SELECT
Used to retrieve data from a table or multiple tables
SELECT column1, column2, column3
FROM table_name;
25. WHERE
Used to filter the data based on a condition
SELECT column1, column2
FROM table_name
WHERE column3 = 'value';
26. INSERT
Used to insert data into a table.
INSERT INTO table_name (column1, column2, column3)
VALUES ('value1', 'value2', 'value3');
27. UPDATE
Used to update data in a table
UPDATE table_name
SET column1 = 'new_value1', column2 = 'new_value2'
WHERE column3 = 'value';
28. DELETE
Used to delete data from a table
DELETE FROM table_name
WHERE column1 = 'value';
29. GROUP BY
Used to group the data based on a column
SELECT column1, COUNT(column2)
FROM table_name
GROUP BY column1;
30. ORDER BY
Used to order the data based on a column by ascending or
descending
SELECT column1, column2
FROM table_name
ORDER BY column1;
31. Practice (20 minutes)
• From the SalesLT.Customer, query all customer that has suffix
Jr.
• From the SalesLT.Customer, update the company name record
of Donald Blanton to UST Angelicum College
• From the SalesLT.Customer, delete the record of Ms. Erin
Hagens
• From the SalesLT.Customer, filter the data by the sales person
adventure-worksjillian0
33. app.config
• A configuration file that is used by .NET applications to store
application-specific settings and parameters.
• It is an XML file that contains key-value pairs, where the keys
are the names of the settings, and the values are the
corresponding values for those settings.
35. ConfigurationManager
• It is used to read configuration settings from various
configuration files such as app.config or web.config files
in .NET applications.
• Using the ConfigurationManager class, developers can
retrieve configuration settings such as connection strings,
application settings, and custom configuration sections defined
in the configuration file.
37. System.Data.SqlClient
• A namespace in the .NET Framework that provides a set of
classes for working with Microsoft SQL Server databases.
• The System.Data.SqlClient namespace includes classes such
as SqlConnection, SqlCommand, SqlDataReader, and
SqlDataAdapter.
• The SqlConnection class is used to establish a connection to a
SQL Server database, while the SqlCommand class is used to
execute SQL commands on the database.
39. “using” statement
• It is used to declare a code block that defines a scope in which
a certain resource, such as a file or a database connection, can
be used.
• The using statement is a convenient way to ensure that the
resource is properly and automatically disposed of when it is no
longer needed, even if an exception is thrown.
41. Object Relational Mapping (ORM)
• A programming technique that enables developers to work with
relational databases using an object-oriented programming
language, such as Java, C#, or Python.
• ORM tools provide a mapping layer between a database and an
object-oriented program, allowing developers to interact with the
database using objects, rather than writing SQL statements
directly.
42. Object Relational Mapping (ORM)
• This helps simplify the process of interacting with the database,
and allows developers to focus on the object-oriented design of
their code, rather than the details of database interactions.
44. Dapper ORM
• Dapper is an open-source, lightweight, and high-performance
object-relational mapping (ORM) framework for .NET
applications.
• It was developed by Stack Overflow, and its primary goal is to
provide a simple, flexible, and fast way to map database
records to objects in your code.
• It focuses on providing a lightweight and fast alternative that
can handle most common database operations without getting
in the way.
45. Dapper Features
• High performance
• Dapper is built with performance in mind, and it aims to be one of the
fastest ORM frameworks available for .NET.
• Easy-to-use
• Dapper's API is designed to be simple and straightforward, with
minimal overhead and a low learning curve.
• Flexible mapping
• Dapper supports a variety of mapping options, including automatic
mapping based on naming conventions, attribute-based mapping, and
manual mapping via custom code.
46. Dapper Features
• Raw SQL support
• Dapper allows you to execute raw SQL queries directly, giving you full
control over your database operations.
• Multiple database support
• Dapper works with a wide range of databases, including SQL Server,
Oracle, MySQL, PostgreSQL, SQLite, and more.
48. Repository Pattern
• A software design pattern that provides an abstraction layer
between the application and the data access layer. It is a
way to separate the code that accesses the database from the
business logic of the application.
49. Repository Pattern
• The repository pattern involves creating a repository class
that acts as a mediator between the application and the data
source. The repository class provides a clean interface that the
application code can use to retrieve, store, update, and delete
data, without having to know the details of how the data is
stored and accessed.