Consists of the explanations of the basics of SQL and commands of SQL.Helpful for II PU NCERT students and also degree studeents to understand some basic things.
This document provides an overview of an introductory training session on SQLite, a popular database for Internet of Things (IoT) applications. The agenda covers installing and configuring SQLite, basic commands like .tables and .schema, accessing databases using ATTACH and DETACH, data types, operators, and SQL statements like SELECT, INSERT, UPDATE, and DELETE. The session teaches the basics of using SQLite through examples of commands, queries, and making changes to databases.
How Clean is your Database? Data Scrubbing for all Skill SetsChad Petrovay
With staff working from home, many institutions are prioritizing data quality projects. Join Chad Petrovay, TMS Administrator at The Morgan Library & Museum, as he shares his deep knowledge of data scrubbing. Power users, system administrators, and SQL experts will learn how to correct and monitor data quality, and are introduced to new low-cost/free tools.
The document provides an overview of the SQL programming language. It describes SQL as a language used to manage and retrieve data from relational databases. It then covers SQL fundamentals including basic SQL commands, data types, operators, and expressions. Examples are provided throughout to illustrate concepts.
This document provides an overview of the SQL programming language. It defines SQL as a language used to manage and retrieve data from relational databases. It describes the basic SQL commands like SELECT, INSERT, UPDATE, DELETE, and explains the different data types that can be used in SQL like numeric, character, and date/time. It also gives examples of basic SQL statements and clauses.
The document discusses SQL concepts including data manipulation language (DML), data definition language (DDL), data control language (DCL), and data types. DML statements like SELECT, INSERT, UPDATE, DELETE are used to query and manipulate data. DDL statements create, modify and delete database objects. DCL controls user access and privileges. Data types specify the type of data stored and supported types include numeric, character, date/time etc. Examples of SQL queries, operators and DML statements like INSERT, UPDATE, ALTER, DROP are also provided.
This document provides an overview of SQL including basics, advanced topics, exercises, and common interview questions. It begins with definitions of SQL, databases, and relational schemas. Key concepts covered include data definition language, data manipulation language, data control language, constraints, aggregate functions, analytical functions, and ranking functions. Examples of SQL queries are provided for common interview questions such as retrieving the second highest salary or finding duplicate emails. Links to additional SQL interview questions and tutorials are listed at the end.
This document provides an overview of SQL Server database development concepts including SQL Server objects, tables, data types, relationships, constraints, indexes, views, queries, joins, stored procedures and more. It begins with introductory content on SQL Server and databases and then covers these topics through detailed explanations and examples in a structured outline.
SQL.pptx for the begineers and good knowPavithSingh
SQL is a standard language for storing, manipulating and retrieving data in relational databases. It allows users to define database structures, create tables, establish relationships between tables and query data. Popular uses of SQL include inserting, updating, deleting and selecting data from database tables. SQL is widely used across industries for managing large datasets efficiently in relational database management systems like MySQL, Oracle and SQL Server.
This document provides an outline and overview of key concepts for working with databases and SQL in mobile programming. It discusses different types of databases like SQLite and concepts like tables, rows, columns, and basic SQL statements for creating tables, selecting, inserting, updating, and deleting data. Examples are provided for each SQL statement to demonstrate their proper syntax and usage.
This document provides an overview of SQL and PL/SQL concepts including data definition language (DDL), data manipulation language (DML), data control language (DCL), and transaction control language (TCL). It discusses SQL commands to create, modify and delete database objects as well as manipulate data. It also covers PL/SQL concepts such as stored procedures, functions, cursors and triggers. Indexes and their use in improving query performance are also summarized.
This document provides an overview of structured query language (SQL) including:
- SQL is used to store, manipulate and retrieve data from relational databases.
- It allows users to access, describe, define, embed, create, drop, and set permissions on database objects.
- When executing SQL commands, a query dispatcher and optimization engines determine the best way to carry out the request by figuring out how to interpret the task.
- SQL defines constraints like NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK to maintain data integrity.
- It supports various data types including character, numeric, date/time, large object, and rowid data types.
- SQL statements are
This document provides an overview of SQL and database concepts. It defines what a database and DBMS are, and explains that relational database management systems like SQL Server use SQL as the standard language to interact with relational databases. The document also outlines the main SQL commands - DDL for defining and modifying database structure, DML for manipulating data, DCL for controlling user access, and DQL for querying data. Key concepts like SQL operators, joins, and primary/foreign keys are also summarized.
This document provides an outline of a SQL Lab tutorial covering MySQL. It introduces SQL and connecting to MySQL. It then covers various MySQL commands including administration commands, data definition language commands to create/drop databases and tables, data manipulation language commands to insert, retrieve, update and delete records, and more advanced queries using concepts like joins, aggregation, and pattern matching. SQL is introduced as a standard language for accessing and manipulating database systems and working with different database programs.
This document provides an overview of the relational database language SQL. It begins by defining basic data types in SQL like numbers, characters, dates and times. It then discusses the SQL Data Definition Language (DDL) which is used to define and modify database schemas and objects. Specific DDL commands like CREATE, DROP, ALTER, TRUNCATE and RENAME are described. The document also covers the SQL Data Manipulation Language (DML) including commands for queries, inserts, updates and deletes. Additional topics discussed include constraints, indexes, views and the advantages of SQL.
Islamic University Previous Year Question Solution 2018 (ADBMS)Rakibul Hasan Pranto
A database management system (DBMS) is software designed to define, manipulate, retrieve, and manage data in a database. The primary goal of a DBMS is to provide convenient and efficient ways to store and retrieve database information. It manages data by defining the structure for storing information and providing mechanisms for manipulating that information.
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 tools for PL/SQL development like Oracle SQL Developer and SQL*Plus. It also summarizes key SQL concepts including data definition, manipulation, retrieval, and security commands. Basic SQL elements such as constants, operators, conditions, data types, comments, and variables are also defined.
This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.
This document provides an introduction and overview of key concepts related to SQL Server databases including:
- The database engine and its role in storing, processing, and securing data
- System and user databases
- Database objects like tables, views, indexes, stored procedures
- Structured Query Language (SQL) and its sublanguages for data definition, manipulation, and transaction control
- Guidelines for writing SQL statements
- Creating and using databases along with creating tables and defining data types and constraints
The document provides an overview of database concepts and features in Oracle, including fundamentals like data grouping and relationships, as well as operations on tables like insert, update, delete. It also covers queries with filters, joins, and aggregations, as well as other objects like views, sequences, indexes, triggers, and stored procedures. The document is intended as training material for the Oracle database.
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its uses for manipulating and retrieving data from relational databases. It then covers the main SQL commands: DDL for schema definition, DML for data manipulation, DCL for security, and TCL for transactions. Common data types are also defined. The document proceeds to explain SQL syntax and components like keywords, identifiers, and clauses. Specific SQL commands like CREATE TABLE, ALTER TABLE, DROP TABLE, INSERT, UPDATE, DELETE, SELECT are described along with examples. Logical and comparison operators are defined. The WHERE clause for filtering rows is explained.
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its purpose for manipulating data in relational database systems. It then covers the main SQL commands categorized as DDL, DML, DCL, and TCL. Examples are provided for commands like CREATE TABLE, ALTER TABLE, INSERT, UPDATE, DELETE, SELECT and more. Logical and comparison operators are also defined. The document concludes with examples of implementing SQL commands to interact with database tables.
The document discusses SQL concepts including data manipulation language (DML), data definition language (DDL), data control language (DCL), and data types. DML statements like SELECT, INSERT, UPDATE, DELETE are used to query and manipulate data. DDL statements create, modify and delete database objects. DCL controls user access and privileges. Data types specify the type of data stored and supported types include numeric, character, date/time etc. Examples of SQL queries, operators and DML statements like INSERT, UPDATE, ALTER, DROP are also provided.
This document provides an overview of SQL including basics, advanced topics, exercises, and common interview questions. It begins with definitions of SQL, databases, and relational schemas. Key concepts covered include data definition language, data manipulation language, data control language, constraints, aggregate functions, analytical functions, and ranking functions. Examples of SQL queries are provided for common interview questions such as retrieving the second highest salary or finding duplicate emails. Links to additional SQL interview questions and tutorials are listed at the end.
This document provides an overview of SQL Server database development concepts including SQL Server objects, tables, data types, relationships, constraints, indexes, views, queries, joins, stored procedures and more. It begins with introductory content on SQL Server and databases and then covers these topics through detailed explanations and examples in a structured outline.
SQL.pptx for the begineers and good knowPavithSingh
SQL is a standard language for storing, manipulating and retrieving data in relational databases. It allows users to define database structures, create tables, establish relationships between tables and query data. Popular uses of SQL include inserting, updating, deleting and selecting data from database tables. SQL is widely used across industries for managing large datasets efficiently in relational database management systems like MySQL, Oracle and SQL Server.
This document provides an outline and overview of key concepts for working with databases and SQL in mobile programming. It discusses different types of databases like SQLite and concepts like tables, rows, columns, and basic SQL statements for creating tables, selecting, inserting, updating, and deleting data. Examples are provided for each SQL statement to demonstrate their proper syntax and usage.
This document provides an overview of SQL and PL/SQL concepts including data definition language (DDL), data manipulation language (DML), data control language (DCL), and transaction control language (TCL). It discusses SQL commands to create, modify and delete database objects as well as manipulate data. It also covers PL/SQL concepts such as stored procedures, functions, cursors and triggers. Indexes and their use in improving query performance are also summarized.
This document provides an overview of structured query language (SQL) including:
- SQL is used to store, manipulate and retrieve data from relational databases.
- It allows users to access, describe, define, embed, create, drop, and set permissions on database objects.
- When executing SQL commands, a query dispatcher and optimization engines determine the best way to carry out the request by figuring out how to interpret the task.
- SQL defines constraints like NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK to maintain data integrity.
- It supports various data types including character, numeric, date/time, large object, and rowid data types.
- SQL statements are
This document provides an overview of SQL and database concepts. It defines what a database and DBMS are, and explains that relational database management systems like SQL Server use SQL as the standard language to interact with relational databases. The document also outlines the main SQL commands - DDL for defining and modifying database structure, DML for manipulating data, DCL for controlling user access, and DQL for querying data. Key concepts like SQL operators, joins, and primary/foreign keys are also summarized.
This document provides an outline of a SQL Lab tutorial covering MySQL. It introduces SQL and connecting to MySQL. It then covers various MySQL commands including administration commands, data definition language commands to create/drop databases and tables, data manipulation language commands to insert, retrieve, update and delete records, and more advanced queries using concepts like joins, aggregation, and pattern matching. SQL is introduced as a standard language for accessing and manipulating database systems and working with different database programs.
This document provides an overview of the relational database language SQL. It begins by defining basic data types in SQL like numbers, characters, dates and times. It then discusses the SQL Data Definition Language (DDL) which is used to define and modify database schemas and objects. Specific DDL commands like CREATE, DROP, ALTER, TRUNCATE and RENAME are described. The document also covers the SQL Data Manipulation Language (DML) including commands for queries, inserts, updates and deletes. Additional topics discussed include constraints, indexes, views and the advantages of SQL.
Islamic University Previous Year Question Solution 2018 (ADBMS)Rakibul Hasan Pranto
A database management system (DBMS) is software designed to define, manipulate, retrieve, and manage data in a database. The primary goal of a DBMS is to provide convenient and efficient ways to store and retrieve database information. It manages data by defining the structure for storing information and providing mechanisms for manipulating that information.
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 tools for PL/SQL development like Oracle SQL Developer and SQL*Plus. It also summarizes key SQL concepts including data definition, manipulation, retrieval, and security commands. Basic SQL elements such as constants, operators, conditions, data types, comments, and variables are also defined.
This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.
This document provides an introduction and overview of key concepts related to SQL Server databases including:
- The database engine and its role in storing, processing, and securing data
- System and user databases
- Database objects like tables, views, indexes, stored procedures
- Structured Query Language (SQL) and its sublanguages for data definition, manipulation, and transaction control
- Guidelines for writing SQL statements
- Creating and using databases along with creating tables and defining data types and constraints
The document provides an overview of database concepts and features in Oracle, including fundamentals like data grouping and relationships, as well as operations on tables like insert, update, delete. It also covers queries with filters, joins, and aggregations, as well as other objects like views, sequences, indexes, triggers, and stored procedures. The document is intended as training material for the Oracle database.
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its uses for manipulating and retrieving data from relational databases. It then covers the main SQL commands: DDL for schema definition, DML for data manipulation, DCL for security, and TCL for transactions. Common data types are also defined. The document proceeds to explain SQL syntax and components like keywords, identifiers, and clauses. Specific SQL commands like CREATE TABLE, ALTER TABLE, DROP TABLE, INSERT, UPDATE, DELETE, SELECT are described along with examples. Logical and comparison operators are defined. The WHERE clause for filtering rows is explained.
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its purpose for manipulating data in relational database systems. It then covers the main SQL commands categorized as DDL, DML, DCL, and TCL. Examples are provided for commands like CREATE TABLE, ALTER TABLE, INSERT, UPDATE, DELETE, SELECT and more. Logical and comparison operators are also defined. The document concludes with examples of implementing SQL commands to interact with database tables.
Bram Vanschoenwinkel is a Business Architect at AE. Bram first heard about process mining in 2008 or 2009, when he was searching for new techniques with a quantitative approach to process analysis. By now he has completed several projects in payroll accounting, public administration, and postal services.
The discovered AS IS process models are based on facts rather than opinions and, therefore, serve as the ideal starting point for change. Bram uses process mining not as a standalone technique but complementary and in combination with other techniques to focus on what is really important: Actually improving the process.
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Johan Lammers from Statistics Netherlands has been a business analyst and statistical researcher for almost 30 years. In their business, processes have two faces: You can produce statistics about processes and processes are needed to produce statistics. As a government-funded office, the efficiency and the effectiveness of their processes is important to spend that public money well.
Johan takes us on a journey of how official statistics are made. One way to study dynamics in statistics is to take snapshots of data over time. A special way is the panel survey, where a group of cases is followed over time. He shows how process mining could test certain hypotheses much faster compared to statistical tools like SPSS.
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This project demonstrates the application of machine learning—specifically K-Means Clustering—to segment customers based on behavioral and demographic data. The objective is to identify distinct customer groups to enable targeted marketing strategies and personalized customer engagement.
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This work showcases practical data science skills applied to a real-world business problem, using Python and visualization tools to generate actionable insights for decision-makers.
3. What is SQL?
• SQL stands for Structured Query Language and is a computer language that
we use to interact with a relational database.
• In a DBMS, the SQL database language is used to:
• Create the database and table structures
• Perform basic data management chores (add, delete and modify)
• Perform complex queries to transform raw data into useful information
• There are two types of SQL: data definition language (DDL) and data
manipulation language (DML)
• DDL- create the database and table structures
• DML- insert, delete, select and update data within the database tables
4. DDL
• The major SQL DDL statements are CREATE DATABASE and
CREATE/DROP/ALTER TABLE. The SQL statement CREATE is
used to create the database and table structures.
• CREATE: use the CREATE command to create a UNIVERSITY
database.
• CREATE DATABASE PetShop
5. CREATE TABLE command
• The general format for the CREATE TABLE command is:
• CREATE TABLE <tablename>
(
ColumnName, Datatype, Optional Column Constraint,
ColumnName, Datatype, Optional Column Constraint,
Optional table Constraints
);
• Optional column constraints include:
• NULL, NOT NULL, UNIQUE, PRIMARY KEY and DEFAULT
6. Data Type
• The data type must be a system data type or a user-defined data
type. Many of the data types have a size such as CHAR(35) or
Numeric(8,2).
• Bit –Integer data with either a 1 or 0 value
• Int –Integer (whole number) data from -2^31 (-2,147,483,648) through 2^31 – 1
(2,147,483,647)
• Smallint –Integer data from 2^15 (-32,768) through 2^15 – 1 (32,767)
• Tinyint –Integer data from 0 through 255
• Decimal –Fixed precision and scale numeric data from -10^38 -1 through 10^38
• Numeric –A synonym for decimal
• Timestamp –A database-wide unique number
• Uniqueidentifier –A globally unique identifier (GUID)
• Money – Monetary data values from -2^63 (-922,337,203,685,477.5808) through
2^63 – 1 (+922,337,203,685,477.5807), with accuracy to one-ten-thousandth of a
monetary unit
• Smallmoney –Monetary data values from -214,748.3648 through
+214,748.3647, with accuracy to one-ten-thousandth of a monetary unit
7. Data Types continued
• Float –Floating precision number data from -1.79E + 308 through 1.79E + 308
• Real –Floating precision number data from -3.40E + 38 through 3.40E + 38
• Datetime –Date and time data from January 1, 1753, to December 31, 9999,
with an accuracy of one-three-hundredths of a second, or 3.33 milliseconds
• Smalldatetime –Date and time data from January 1, 1900, through June 6,
2079, with an accuracy of one minute
• Char –Fixed-length non-Unicode character data with a maximum length of
8,000 characters
• Varchar –Variable-length non-Unicode data with a maximum of 8,000
characters
• Text –Variable-length non-Unicode data with a maximum length of 2^31 – 1
(2,147,483,647) characters
• Binary –Fixed-length binary data with a maximum length of 8,000 bytes
• Varbinary –Variable-length binary data with a maximum length of 8,000 bytes
• Image – Variable-length binary data with a maximum length of 2^31 – 1
(2,147,483,647) bytes
8. Primary Key if Composite and Foreign
Key
USE HOTEL
GO
CREATE TABLE tblRoom
(
HotelNo Int NOT NULL ,
RoomNo Int NOT NULL,
Type Char(50) NULL,
Price Money NULL,
PRIMARY KEY (HotelNo, RoomNo),
FOREIGN KEY (HotelNo) REFERENCES tblHotel
)
10. DML
• The SQL data manipulation language (DML) is used to query
and modify database data. In this chapter, we will describe
how to use the SELECT, INSERT, UPDATE, and DELETE SQL
DML command statements, defined below.
• SELECT – to query data in the database
• INSERT – to insert data into a table
• UPDATE – to update data in a table
• DELETE – to delete data from a table
11. In the SQL DML statement:
• Each clause in a statement should begin on a new line.
• The beginning of each clause should line up with the
beginning of other clauses.
• If a clause has several parts, they should appear on separate
lines and be indented under the start of the clause to show
the relationship.
• Upper case letters are used to represent reserved words.
• Lower case letters are used to represent user-defined
words.
13. SELECT (from a single table)
• Sample query:
SELECT student_id
FROM Enrolled
WHERE credit_status = 'grad’;
• Basic syntax:
SELECT column1, column2, …
FROM table
WHERE selection condition;
• the FROM clause specifies which table you are using
• the WHERE clause specifies which rows should be included in the result
• the SELECT clause specifies which columns should be included
14. SELECT (from a single table) (cont.)
• Example:
SELECT student_id
FROM Enrolled
WHERE credit_status = 'grad';
15. Selecting Entire Column
• If there's no WHERE clause, the result will consist of one or
more entire columns. No rows will be excluded.
SELECT student_id
FROM Enrolled;
16. Selecting Entire Rows
• If we want the result to include entire rows (i.e., all of the
columns), we use a * in the SELECT clause:
SELECT *
FROM Enrolled
WHERE credit_status = 'grad';
17. The WHERE Clause
• The selection condition must be an expression that
evaluates to either true or false.
• example: credit_status = 'grad’
• can include any column from the table(s) in the FROM clause
• The results of the SELECT command will include only those
tuples for which the selection condition evaluates to true.
18. Simple Comparisons
• The simplest selection condition is a comparison that uses
one of the following comparison operators:
19. Practice
• Write a query that finds the names and capacities of all
rooms that hold at least 70 people.
20. Practice
• Write a query that finds the names and capacities of all
rooms that hold at least 70 people.
22. Why Learn SQL?
• Desktop database systems like Access provide tools for
manipulating data in a database.
• However, these tools don't allow you to perform all possible
types of queries.
• For more flexibility and power, we use SQL.
• a query language
• In addition, knowledge of SQL is needed to perform queries
from within a program.
23. How could we get all info about movies
released in 2010?
24. How could we get all info about movies
released before 2010?
25. How could we get the name and
runtime of movies released before
2010?
26. How could we get the name and
runtime of all movies?
27. Forming More Complex Selection
Conditions
• We often want to combine conditions or take the opposite
of one.
• SQL provides logical operators for this purpose:
28. Range Comparisons
• SQL also provides a special operator called BETWEEN for
checking if a value falls within a range of values.
29. How could we get the name and
runtime of both Titanic and Toy Story 3?
31. Practice with Simple SQL Queries
• Write a query that finds all information about CAS 315.
• Write a query that lists the names and start times of all
courses.
• Write a query that gets the ID numbers of student(s) who
are taking CS 105 for undergraduate (ugrad) credit.