This document provides an overview of SQL data definition and integrity constraints. It discusses:
1) SQL data types and integrity constraints such as required fields, domain constraints, entity integrity, referential integrity, and general constraints. It provides examples of defining these constraints using SQL.
2) SQL DDL statements for creating, altering and dropping schemas, domains, tables, views and other database objects. Examples are provided for creating tables with constraints and altering tables.
3) Views - how they provide a dynamic result set defined by a query. The document describes creating, dropping and resolving views in SQL. Examples include horizontal, vertical and grouped/joined views.
The document describes experiments conducted in a Database Management System lab. It includes steps to install MySQL, create databases and tables, perform CRUD operations, implement integrity constraints, use aggregate functions and joins. The key points are:
1) Installing MySQL and verifying the installation.
2) Creating databases and tables with commands like CREATE DATABASE and CREATE TABLE.
3) Performing insertion, updation, deletion and selection of data using SQL commands.
This document provides an introduction to SQL (Structured Query Language) for manipulating and working with data. It covers SQL fundamentals including defining a database using DDL, working with views, writing queries, and establishing referential integrity. It also discusses SQL data types, database definition, creating tables and views, and key SQL statements for data manipulation including SELECT, INSERT, UPDATE, and DELETE. Examples are provided for creating tables and views, inserting, updating, and deleting data, and writing queries using functions, operators, sorting, grouping, and filtering.
Constraints constraints of oracle data base management systemsSHAKIR325211
This document discusses database constraints and how to implement data integrity in Oracle databases. It defines different types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and CHECK constraints. It provides examples of defining these constraints at column and table levels using the CREATE TABLE and ALTER TABLE statements. It also discusses managing constraints through adding, dropping and disabling constraints.
The document discusses SQL SELECT statements and iSQL*Plus commands. It describes how to list data from tables, perform calculations on columns, and rename columns with aliases. It also explains how to use iSQL*Plus to write, save, execute SQL statements, and view table structures with the DESCRIBE command.
1. The document provides information on database concepts like the system development life cycle, data modeling, relational database management systems, and creating and managing database tables in Oracle.
2. It discusses how to create tables, add, modify and delete columns, add comments, define constraints, create views, and perform data manipulation operations like insert, update, delete in Oracle.
3. Examples are provided for SQL statements like CREATE TABLE, ALTER TABLE, DROP TABLE, CREATE VIEW, INSERT, UPDATE, DELETE.
Database objects such as tables, views, sequences, indexes, and synonyms allow users to access and manage data. Tables are the basic unit of storage composed of rows, while views represent subsets of data from tables. Sequences generate numeric values and indexes improve query performance. Synonyms provide alternative names for objects to simplify access. Users can create, modify, and remove these objects according to defined syntax and guidelines.
This document discusses how to create and manage database tables using SQL statements in Oracle. It covers topics such as naming rules for tables, the CREATE TABLE statement including specifying data types and constraints, accessing other users' tables, and making changes to existing tables using the ALTER TABLE statement. The goal is to teach how to categorize database objects, understand table structure, create tables with different constraints, and describe how schema objects work together.
Structured Query Language for Data Management 2 Sructu.docxjohniemcm5zt
Structured Query Language for Data Management 2
Sructured Query Language for Data Management 6
Table of Contents
Phase 1- Database Design and DDL 3
Business Rules & Entity Tables 3
Entity Tables: 4
SQL CODE: 4
Screenshots: 8
Phase 2 – Security and DML 13
Task 1 14
Task 2 15
Task 3 16
Task 4 17
Task 5 18
Phase 3 - DML (Select) and Procedures 19
Task 1 19
Task 2 20
Task 3 21
Task 4 22
Task 5 23
Phase 4 – Architecture, Indexes 27
Step 1: CREATE TABLE [Degrees] 27
Step 2: Re-create ‘Classes’ TABLE to add ‘DegreeID’ column and INSERT 6 classes 29
Step 3: ALTER TABLE [Students] 31
Step 5: DML script to INSERT INTO the ‘Students’ table ‘DegreeID’ data 33
Step 6: Display ERD 36
Phase 5 – Views, Transactions, Testing and Performance 37
References 38
Phase 1- Database Design and DDL
My team was recently contracted to design and develop a database for CTU that will store personal and confidential university data. This database is expected to provide the back-end architecture for a front-end web application with an intuitive User/Interface (U/I) to be used by the university HR department. We’ve decided to use Microsoft SQL Server 2012 given the nature of data to be stored because it will be more secure, and it also provides a suite of server maintenance tools to be left behind with the IT Department once the database and web application have been tested and accepted by university stakeholders.
During our preliminary meetings, CTU’s requirements were defined and adequately scoped to begin creation of the database. The following sections contain the business rules and entity tables developed during the preliminary meetings, as well as copies of all the SQL code used to build the database and create the Entity Relationship Diagram (ERD). Business Rules & Entity Tables
Business Rules:
· A student has a name, a birth date, and gender.
· You must track the date the student started at the university and his or her current GPA, as well as be able to inactivate him or her without deleting information.
· For advising purposes, store the student's background/bio information. This is like a little story.
· An advisor has a name and an e-mail address.
· Students are assigned to one advisor, but one advisor may service multiple students.
· A class has a class code, name, and description.
· You need to indicate the specific classes a student is taking/has taken at the university. Track the date the student started a specific class and the grade earned in that class.
· Each class that a student takes has 4 assignments. Each assignment is worth 100 points.Entity Tables:
SQL CODE:
Create Database:
CREATE DATABASE [Cameron_CTU]
CONTAINMENT = NONE
ON PRIMARY
( NAME = N'Cameron_CTU', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU.mdf' , SIZE = 3072KB , FILEGROWTH = 1024KB )
LOG ON
( NAME = N'Cameron_CTU_log', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU_.
This document discusses various SQL concepts including views, constraints, assertions, triggers, embedded SQL, and stored procedures. Views allow users to query virtual tables derived from other tables. Constraints and assertions allow specification of integrity rules. Triggers define actions to take when data changes violate conditions. Embedded SQL and stored procedures allow programming database access and logic directly in the database.
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.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL from the 1970s to present day. The chapter also defines the key components of SQL including data definition language, data manipulation language, and data control language. It provides examples of creating tables and defining columns in a SQL database.
An tutorial for sql learners in very easy way. It contains all the sql commands like ddl, dml, etc. with suitable examples.
at the end there are 3 sets of question with their solution with explanation. each set contains 40+ questions.
Charles WilliamsCS362Unit 3 Discussion BoardStructured Query Langu.docxchristinemaritza
Charles WilliamsCS362Unit 3 Discussion Board
Structured Query Language for Data Management 1
Structured Query Language for Data Management 36-04-17
Table of Contents
Phase 1- Database Design and DDL 3
Business Rules & Entity Tables 3
Entity Tables: 4
SQL CODE: 4
Screenshots: 8
Phase 2 – Security and DML 13
Task 1 14
Task 2 15
Task 3 16
Task 4 17
Task 5 18
Phase 3 - DML (Select) and Procedures 19
Task 1 19
Task 2 20
Task 3 21
Task 4 22
Task 5 23
Phase 4 – Architecture, Indexes 27
Step 1: CREATE TABLE [Degrees] 27
Step 2: Re-create ‘Classes’ TABLE to add ‘DegreeID’ column and INSERT 6 classes 29
Step 3: ALTER TABLE [Students] 31
Step 5: DML script to INSERT INTO the ‘Students’ table ‘DegreeID’ data 33
Step 6: Display ERD 36
Phase 5 – Views, Transactions, Testing and Performance 37
References 38
Phase 1- Database Design and DDL
I contracted to design and develop a database for CTU that will store individual and confidential university data. This database is required to give the back-end engineering to a front-end web application with an instinctive User/Interface (U/I) to be utilized by the college HR office. We've chosen to utilize Microsoft SQL Server 2012 given the way of information to be put away because it will be more secure, and it additionally gives a suite of server upkeep apparatuses to be deserted with the IT Department once the database and web application have been tried and acknowledged by college partners.
Amid our preparatory gatherings, CTU's necessities were characterized and enough perused to start making of the database. The accompanying areas contain the business tenets and element tables created amid the preparatory gatherings, and additionally duplicates of all the SQL code used to manufacture the database and make the Entity Relationship Diagram (ERD).
Business Rules & Entity Tables
Business Rules:
· A student has a name, a birth date, and gender.
· You must track the date the student started at the university and his or her current GPA, as well as be able to inactivate him or her without deleting information.
· For advising purposes, store the student's background/bio information. This is like a little story.
· An advisor has a name and an e-mail address.
· Students are assigned to one advisor, but one advisor may service multiple students.
· A class has a class code, name, and description.
· You need to indicate the specific classes a student is taking/has taken at the university. Track the date the student started a specific class and the grade earned in that class.
· Each class that a student takes has 4 assignments. Each assignment is worth 100 points.Entity Tables:
SQL CODE:
Create Database:
CREATE DATABASE [Cameron_CTU]
CONTAINMENT = NONE
ON PRIMARY
( NAME = N'Cameron_CTU', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU.mdf' , SIZE = 3072KB , FILEGROWTH = 1024KB )
LOG ON
( NAME = N'Cameron_CTU_log', FILENAME = N'c:\Progra ...
The document is an introduction to SQL that covers:
- The history and purpose of the SQL standard for managing relational databases
- Key components of SQL including the data definition language for defining database structure, the data manipulation language for querying and modifying data, and the data control language.
- How to define database tables using SQL data types and constraints, insert/update/delete data, and retrieve data using queries with functions, operators, and clauses for sorting and grouping results.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for queries, inserts, updates and deletes, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of SQL including data definition, data manipulation, and data control. It also provides examples of using SQL commands to define database tables, insert and modify data, write queries, and create views.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in the 1980s. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and perform common operations like inserting, updating, deleting, and selecting data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of the SQL language including data definition, data manipulation, and data control. Examples are provided to demonstrate how to define database tables with attributes, primary keys, foreign keys and relationships using SQL data definition language statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for inserting, querying, updating and deleting data, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in 1986. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and write queries to select, insert, update, and delete data.
This document discusses how to create and manage various schema objects in an Oracle database including views, sequences, indexes, and synonyms. Views allow querying of data from underlying tables, sequences generate unique numbers, indexes improve query performance, and synonyms provide alternative names for objects. The document provides examples of creating each of these object types and modifying or removing them.
This document provides an overview of a training course on basic SQL queries. The course objectives are to learn how to execute basic SELECT statements, restrict and sort query results, and use aggregation functions. The topics covered include the SELECT statement, comparison operators, logical operators, the ORDER BY clause, and substitution variables. The document provides examples of SQL syntax for each topic and explains how to use the iSQL*Plus tool to interact with database tables and run queries.
Les01 (retrieving data using the sql select statement)Achmad Solichin
This document provides an overview of using SQL SELECT statements and the iSQLPlus environment to retrieve and work with data. It covers the basic capabilities and syntax of SELECT statements including selecting all or specific columns, arithmetic expressions, aliases, and null values. It also describes interacting with the iSQLPlus environment, such as describing table structures, running SQL statements from scripts, and setting preferences. The key aspects of SQL statements and iSQLPlus commands are differentiated.
The document provides an overview of using SQL SELECT statements and the iSQL*Plus environment to retrieve and work with data. It covers the basics of writing SELECT statements to select all columns, specific columns, and perform calculations. It also describes using iSQL*Plus to describe table structures, interact with script files, view command history, and set preferences. The key aspects of SQL statements and iSQL*Plus commands are differentiated.
Ethical Frameworks for Trustworthy AI – Opportunities for Researchers in Huma...Karim Baïna
Artificial Intelligence (AI) is reshaping societies and raising complex ethical, legal, and geopolitical questions. This talk explores the foundations and limits of Trustworthy AI through the lens of global frameworks such as the EU’s HLEG guidelines, UNESCO’s human rights-based approach, OECD recommendations, and NIST’s taxonomy of AI security risks.
We analyze key principles like fairness, transparency, privacy, robustness, and accountability — not only as ideals, but in terms of their practical implementation and tensions. Special attention is given to real-world contexts such as Morocco’s deployment of 4,000 intelligent cameras and the country’s positioning in AI readiness indexes. These examples raise critical issues about surveillance, accountability, and ethical governance in the Global South.
Rather than relying on standardized terms or ethical "checklists", this presentation advocates for a grounded, interdisciplinary, and context-aware approach to responsible AI — one that balances innovation with human rights, and technological ambition with social responsibility.
This rich Trustworthy and Responsible AI frameworks context is a serious opportunity for Human and Social Sciences Researchers : either operate as gatekeepers, reinforcing existing ethical constraints, or become revolutionaries, pioneering new paradigms that redefine how AI interacts with society, knowledge production, and policymaking ?
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Structured Query Language for Data Management 2 Sructu.docxjohniemcm5zt
Structured Query Language for Data Management 2
Sructured Query Language for Data Management 6
Table of Contents
Phase 1- Database Design and DDL 3
Business Rules & Entity Tables 3
Entity Tables: 4
SQL CODE: 4
Screenshots: 8
Phase 2 – Security and DML 13
Task 1 14
Task 2 15
Task 3 16
Task 4 17
Task 5 18
Phase 3 - DML (Select) and Procedures 19
Task 1 19
Task 2 20
Task 3 21
Task 4 22
Task 5 23
Phase 4 – Architecture, Indexes 27
Step 1: CREATE TABLE [Degrees] 27
Step 2: Re-create ‘Classes’ TABLE to add ‘DegreeID’ column and INSERT 6 classes 29
Step 3: ALTER TABLE [Students] 31
Step 5: DML script to INSERT INTO the ‘Students’ table ‘DegreeID’ data 33
Step 6: Display ERD 36
Phase 5 – Views, Transactions, Testing and Performance 37
References 38
Phase 1- Database Design and DDL
My team was recently contracted to design and develop a database for CTU that will store personal and confidential university data. This database is expected to provide the back-end architecture for a front-end web application with an intuitive User/Interface (U/I) to be used by the university HR department. We’ve decided to use Microsoft SQL Server 2012 given the nature of data to be stored because it will be more secure, and it also provides a suite of server maintenance tools to be left behind with the IT Department once the database and web application have been tested and accepted by university stakeholders.
During our preliminary meetings, CTU’s requirements were defined and adequately scoped to begin creation of the database. The following sections contain the business rules and entity tables developed during the preliminary meetings, as well as copies of all the SQL code used to build the database and create the Entity Relationship Diagram (ERD). Business Rules & Entity Tables
Business Rules:
· A student has a name, a birth date, and gender.
· You must track the date the student started at the university and his or her current GPA, as well as be able to inactivate him or her without deleting information.
· For advising purposes, store the student's background/bio information. This is like a little story.
· An advisor has a name and an e-mail address.
· Students are assigned to one advisor, but one advisor may service multiple students.
· A class has a class code, name, and description.
· You need to indicate the specific classes a student is taking/has taken at the university. Track the date the student started a specific class and the grade earned in that class.
· Each class that a student takes has 4 assignments. Each assignment is worth 100 points.Entity Tables:
SQL CODE:
Create Database:
CREATE DATABASE [Cameron_CTU]
CONTAINMENT = NONE
ON PRIMARY
( NAME = N'Cameron_CTU', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU.mdf' , SIZE = 3072KB , FILEGROWTH = 1024KB )
LOG ON
( NAME = N'Cameron_CTU_log', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU_.
This document discusses various SQL concepts including views, constraints, assertions, triggers, embedded SQL, and stored procedures. Views allow users to query virtual tables derived from other tables. Constraints and assertions allow specification of integrity rules. Triggers define actions to take when data changes violate conditions. Embedded SQL and stored procedures allow programming database access and logic directly in the database.
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.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL from the 1970s to present day. The chapter also defines the key components of SQL including data definition language, data manipulation language, and data control language. It provides examples of creating tables and defining columns in a SQL database.
An tutorial for sql learners in very easy way. It contains all the sql commands like ddl, dml, etc. with suitable examples.
at the end there are 3 sets of question with their solution with explanation. each set contains 40+ questions.
Charles WilliamsCS362Unit 3 Discussion BoardStructured Query Langu.docxchristinemaritza
Charles WilliamsCS362Unit 3 Discussion Board
Structured Query Language for Data Management 1
Structured Query Language for Data Management 36-04-17
Table of Contents
Phase 1- Database Design and DDL 3
Business Rules & Entity Tables 3
Entity Tables: 4
SQL CODE: 4
Screenshots: 8
Phase 2 – Security and DML 13
Task 1 14
Task 2 15
Task 3 16
Task 4 17
Task 5 18
Phase 3 - DML (Select) and Procedures 19
Task 1 19
Task 2 20
Task 3 21
Task 4 22
Task 5 23
Phase 4 – Architecture, Indexes 27
Step 1: CREATE TABLE [Degrees] 27
Step 2: Re-create ‘Classes’ TABLE to add ‘DegreeID’ column and INSERT 6 classes 29
Step 3: ALTER TABLE [Students] 31
Step 5: DML script to INSERT INTO the ‘Students’ table ‘DegreeID’ data 33
Step 6: Display ERD 36
Phase 5 – Views, Transactions, Testing and Performance 37
References 38
Phase 1- Database Design and DDL
I contracted to design and develop a database for CTU that will store individual and confidential university data. This database is required to give the back-end engineering to a front-end web application with an instinctive User/Interface (U/I) to be utilized by the college HR office. We've chosen to utilize Microsoft SQL Server 2012 given the way of information to be put away because it will be more secure, and it additionally gives a suite of server upkeep apparatuses to be deserted with the IT Department once the database and web application have been tried and acknowledged by college partners.
Amid our preparatory gatherings, CTU's necessities were characterized and enough perused to start making of the database. The accompanying areas contain the business tenets and element tables created amid the preparatory gatherings, and additionally duplicates of all the SQL code used to manufacture the database and make the Entity Relationship Diagram (ERD).
Business Rules & Entity Tables
Business Rules:
· A student has a name, a birth date, and gender.
· You must track the date the student started at the university and his or her current GPA, as well as be able to inactivate him or her without deleting information.
· For advising purposes, store the student's background/bio information. This is like a little story.
· An advisor has a name and an e-mail address.
· Students are assigned to one advisor, but one advisor may service multiple students.
· A class has a class code, name, and description.
· You need to indicate the specific classes a student is taking/has taken at the university. Track the date the student started a specific class and the grade earned in that class.
· Each class that a student takes has 4 assignments. Each assignment is worth 100 points.Entity Tables:
SQL CODE:
Create Database:
CREATE DATABASE [Cameron_CTU]
CONTAINMENT = NONE
ON PRIMARY
( NAME = N'Cameron_CTU', FILENAME = N'c:\Program Files\Microsoft SQL Server\MSSQL11.SCAMERON_CTU\MSSQL\DATA\Cameron_CTU.mdf' , SIZE = 3072KB , FILEGROWTH = 1024KB )
LOG ON
( NAME = N'Cameron_CTU_log', FILENAME = N'c:\Progra ...
The document is an introduction to SQL that covers:
- The history and purpose of the SQL standard for managing relational databases
- Key components of SQL including the data definition language for defining database structure, the data manipulation language for querying and modifying data, and the data control language.
- How to define database tables using SQL data types and constraints, insert/update/delete data, and retrieve data using queries with functions, operators, and clauses for sorting and grouping results.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for queries, inserts, updates and deletes, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of SQL including data definition, data manipulation, and data control. It also provides examples of using SQL commands to define database tables, insert and modify data, write queries, and create views.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in the 1980s. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and perform common operations like inserting, updating, deleting, and selecting data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of the SQL language including data definition, data manipulation, and data control. Examples are provided to demonstrate how to define database tables with attributes, primary keys, foreign keys and relationships using SQL data definition language statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for inserting, querying, updating and deleting data, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in 1986. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and write queries to select, insert, update, and delete data.
This document discusses how to create and manage various schema objects in an Oracle database including views, sequences, indexes, and synonyms. Views allow querying of data from underlying tables, sequences generate unique numbers, indexes improve query performance, and synonyms provide alternative names for objects. The document provides examples of creating each of these object types and modifying or removing them.
This document provides an overview of a training course on basic SQL queries. The course objectives are to learn how to execute basic SELECT statements, restrict and sort query results, and use aggregation functions. The topics covered include the SELECT statement, comparison operators, logical operators, the ORDER BY clause, and substitution variables. The document provides examples of SQL syntax for each topic and explains how to use the iSQL*Plus tool to interact with database tables and run queries.
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This document provides an overview of using SQL SELECT statements and the iSQLPlus environment to retrieve and work with data. It covers the basic capabilities and syntax of SELECT statements including selecting all or specific columns, arithmetic expressions, aliases, and null values. It also describes interacting with the iSQLPlus environment, such as describing table structures, running SQL statements from scripts, and setting preferences. The key aspects of SQL statements and iSQLPlus commands are differentiated.
The document provides an overview of using SQL SELECT statements and the iSQL*Plus environment to retrieve and work with data. It covers the basics of writing SELECT statements to select all columns, specific columns, and perform calculations. It also describes using iSQL*Plus to describe table structures, interact with script files, view command history, and set preferences. The key aspects of SQL statements and iSQL*Plus commands are differentiated.
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We analyze key principles like fairness, transparency, privacy, robustness, and accountability — not only as ideals, but in terms of their practical implementation and tensions. Special attention is given to real-world contexts such as Morocco’s deployment of 4,000 intelligent cameras and the country’s positioning in AI readiness indexes. These examples raise critical issues about surveillance, accountability, and ethical governance in the Global South.
Rather than relying on standardized terms or ethical "checklists", this presentation advocates for a grounded, interdisciplinary, and context-aware approach to responsible AI — one that balances innovation with human rights, and technological ambition with social responsibility.
This rich Trustworthy and Responsible AI frameworks context is a serious opportunity for Human and Social Sciences Researchers : either operate as gatekeepers, reinforcing existing ethical constraints, or become revolutionaries, pioneering new paradigms that redefine how AI interacts with society, knowledge production, and policymaking ?
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apidays New York 2025 - Agentic AI Future by Seena Ganesh (Staples)apidays
Agentic AI Future: Agents Reshaping Digital Transformation and API Strategy
Seena Ganesh, Vice President Engineering - B2C & B2B eCommerce & Digital AI at Staples
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
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Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Understanding Large Language Model Hallucinations: Exploring Causes, Detectio...Tamanna36
This presentation delves into Large Language Model (LLM) hallucinations—incorrect or fabricated outputs that undermine reliability. It covers their causes (e.g., data limitations, transformer architecture), detection methods (like semantic entropy), prevention strategies (fine-tuning, RAG), and ethical concerns (misinformation, bias). The role of tokens and MLOps in managing hallucinations is explored, alongside the feasibility of hallucination-free LLMs. Designed for researchers, developers, and AI enthusiasts, it offers insights and practical approaches to enhance LLM accuracy and trustworthiness in critical applications like healthcare and legal systems.
apidays New York 2025 - AI for All by Ananya Upadhyay (United Rentals, Inc.)apidays
AI for All: Industry Use Cases & Early Career Impact in GenAI
Ananya Upadhyay, AI Developer at United Rentals, Inc.
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
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Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
11. CHAR or VARCHAR
• Data to store ‘ABCD’
– CHAR(4) 4 bytes
– VARCHAR(4) 5-6 bytes (1-2 bytes eos)
– CHAR (200) 200 bytes
– VARCHAR(200) 5-6 bytes
• So, use CHAR for short, fixed length items (e.g.,
SSN)
– Get benefits of data type checking on insert
• If input string is too long, get error message
(STRICT SQL enabled) or truncation (STRICT not
enabled)