A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
SQL is a language for operating databases and is used to perform operations like inserting, searching, updating, and deleting records from databases. The document discusses SQL fundamentals including SQL statements, database users, creating and managing tables, and adding comments. Key points covered are how to connect to a database, create users and tables, alter and drop tables, and add comments to tables and columns. Various SQL statements and syntax are provided for these operations.
This document provides an overview of SQL fundamentals and Oracle 11g, including:
- How to add comments to tables and columns to document the data dictionary.
- The main data types in Oracle like VARCHAR2, INT, DATE, and TIMESTAMP.
- Data integrity constraints that can be applied at the column or table level, including NULL/NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK constraints.
- How to add, drop, disable, enable, and use cascading constraints to modify constraints on existing schemas.
Data Manipulation(DML) and Transaction Control (TCL) MuhammadWaheed44
A short course "SQL Fundamentals - Oracle 11g" is being in progress at PMAS Arid Agriculture University. Complete course video and can be found at following link
https://www.youtube.com/playlist?list=PL12t8CWUhXZaUXsmg7M67o_Q37JhhfAKU
This document provides an overview of SQL fundamentals and the SELECT statement in Oracle 11g. It discusses the properties of database transactions including atomicity, consistency, isolation, and durability. It then covers the basics of the SELECT statement and how to identify columns and tables. The document proceeds to explain arithmetic expressions, column and table aliases, concatenation operators, and how to eliminate duplicate records using DISTINCT. It also discusses viewing table structures, the WHERE clause and various comparison/logical operators that can be used. The document concludes with an overview of the ORDER BY clause and rules of precedence.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
SQL is a language used in most relational database systems to define, manipulate, and control data. It consists of several key statements including CREATE, SELECT, INSERT, UPDATE, DELETE, and DROP to define databases, tables, retrieve, modify and delete data, as well as DROP tables. SQL also defines various data types that specify the type of data that can be stored in columns.
This document summarizes the main DML (Data Manipulation Language) commands used for editing data in SQL: INSERT for adding new rows, UPDATE for changing existing rows, and DELETE for removing rows. It provides the syntax and examples for each command, including using default values, assigning null values, and specifying conditions with WHERE clauses.
SQL is a language for operating databases and is used to perform operations like inserting, searching, updating, and deleting records from databases. The document discusses SQL fundamentals including SQL statements, database users, creating and managing tables, and adding comments. Key points covered are how to connect to a database, create users and tables, alter and drop tables, and add comments to tables and columns. Various SQL statements and syntax are provided for these operations.
This document provides an overview of SQL fundamentals and Oracle 11g, including:
- How to add comments to tables and columns to document the data dictionary.
- The main data types in Oracle like VARCHAR2, INT, DATE, and TIMESTAMP.
- Data integrity constraints that can be applied at the column or table level, including NULL/NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK constraints.
- How to add, drop, disable, enable, and use cascading constraints to modify constraints on existing schemas.
Data Manipulation(DML) and Transaction Control (TCL) MuhammadWaheed44
A short course "SQL Fundamentals - Oracle 11g" is being in progress at PMAS Arid Agriculture University. Complete course video and can be found at following link
https://www.youtube.com/playlist?list=PL12t8CWUhXZaUXsmg7M67o_Q37JhhfAKU
This document provides an overview of SQL fundamentals and the SELECT statement in Oracle 11g. It discusses the properties of database transactions including atomicity, consistency, isolation, and durability. It then covers the basics of the SELECT statement and how to identify columns and tables. The document proceeds to explain arithmetic expressions, column and table aliases, concatenation operators, and how to eliminate duplicate records using DISTINCT. It also discusses viewing table structures, the WHERE clause and various comparison/logical operators that can be used. The document concludes with an overview of the ORDER BY clause and rules of precedence.
A practical approach towards learning SQL in Oracle 11g. Video lectures are prepared as well and can be found at given link
https://www.youtube.com/channel/UCMv6HrS_4_GFWmLLFzL_U_A?view_as=subscriber
SQL is a language used in most relational database systems to define, manipulate, and control data. It consists of several key statements including CREATE, SELECT, INSERT, UPDATE, DELETE, and DROP to define databases, tables, retrieve, modify and delete data, as well as DROP tables. SQL also defines various data types that specify the type of data that can be stored in columns.
This document summarizes the main DML (Data Manipulation Language) commands used for editing data in SQL: INSERT for adding new rows, UPDATE for changing existing rows, and DELETE for removing rows. It provides the syntax and examples for each command, including using default values, assigning null values, and specifying conditions with WHERE clauses.
SQL: Structured Query Language
Includes:
Introduction
It is a computer programming language that is used for storage, retrieval and manipulation of data that is stored in relational database. This is a standard computer programming language used for RDMS (Relational Database Management Systems).
IBM’s Ted Cod a.k.a Father of Relational databases gave the concept of relational model for database in 1970. It was 4 years later SQL appeared in 1974. This was just an idea, which got conceptualized in the form of Systems/R in 1978 and was released by IBM. The ANSI standards and first prototype of relational databases was released in 1986, which is popularly knows as Oracle
Advantages:
Used for accessing data in RDBMS.
Used for describing data.
Definition of data and its manipulation.
Can be used with other programming language by embedding SQL modules into other languages code, pre-compilers and libraries.
Possible to create and drop data base using this programming language.
Setting permission on views, table and procedures.
Can be used for creating views, procedures and functions.
Commands
Commands in SQL are categorized into three category namely
DDL – Data definition language
DML – Data Manipulation language
DCL – Data Control language
Data Definition Language (DDL)
Commands that are classified under DDL category are as follows:
CREATE – Used for creating an object, table/view.
ALTER – Used for modifying an existing database object.
DROP – Object, table an views created using CREATE can be deleted/removed.
Data Manipulation Language (DML)
Commands that are classified under DML are as follows:
SELECT – Used for retrieving a set of records from one/more than one tables.
DELETE – Used for deleting records.
UPDATE – Used for modifying / updating records.
INSERT – Used for inserting records.
Data Control Language (DCL)
Commands that have been classified under DCL are:
GRANT – Users can be granted permission / privileges using this command
REVOKE – Privileges to the user can be taken back using this command.
Constraints
Rules are enforced on the columns of the table that contain data specific for the field for all the record in the table. These rules are referred to as constraints, which are generally used to ensure that field only gets a particular type of value. For instance if there is a field called “Age” in the table, then this field can only take numeric value.
Constraints set up for the table apply to all the data stored in the table.
Some of the common constraints are:
NOT NULL:
This constraints ensure that the field value is never set to NULL
DEFAULT:
Typically used to fill in a default value for any field left blank.
UNIQUE:
If the constraints is set on a column, then all value set for this field will have to be unique
The document discusses various SQL statements and functions used for managing databases and querying data. It provides the syntax for SQL statements like CREATE TABLE, INSERT, SELECT, UPDATE, DELETE and functions like COUNT, AVG, MIN, MAX, SUM to operate on data in database tables. It also covers statements for altering tables, joining tables, filtering rows with WHERE and HAVING clauses, removing duplicates with DISTINCT, and ordering results.
The ppt is part of the YouTube Video on SQL. https://youtu.be/1oL9o3SZ1bA
The SQL Video teaches you and also shows you example of the usage of ALTER TABLE, SELECT DISTINCT and WHERE commands in SQL command line.
The document discusses SQL and its functions. SQL is a language used to store, manipulate, and retrieve data in relational databases. It includes data definition language (DDL) commands like CREATE, ALTER, TRUNCATE, DROP, and RENAME to define and modify database structures. It also includes data manipulation language (DML) commands like INSERT, UPDATE, DELETE, and MERGE to manage data within databases. Examples of each command are provided.
This document discusses database constraints. It explains that constraints are used to specify rules for data in tables to maintain integrity. There are two levels of constraints - column and table level. The main types of constraints are NOT NULL, UNIQUE, CHECK, DEFAULT, and key constraints like PRIMARY KEY and FOREIGN KEY. Constraints enforce limits on the data, make columns non-nullable, enforce unique values, check value ranges, provide default values, and relate tables through primary and foreign keys. Maintaining constraints helps ensure only valid data is stored in the database.
This document discusses SQL and its data types, data definition language (DDL), data manipulation language (DML), and data control language (DCL). It defines SQL as a standardized language for querying and updating databases and lists common SQL data types like string, numeric, and date/time. It describes DDL commands for creating, altering, and dropping database tables as well as adding, modifying, and removing columns.
The DELETE statement is used to delete rows from a table based on an optional WHERE clause. If no WHERE clause is specified, all rows will be deleted. The TRUNCATE statement deletes all rows from a table and frees up the space, while the DROP statement removes the table structure entirely from the database. DELETE does not free space, TRUNCATE does, and DROP removes the table permanently along with any relationships to other tables.
This document defines SQL data definition statements and basic SQL query structure. It discusses DDL statements like CREATE, ALTER, and DROP that are used to define and manage database structures. It also explains the typical components of an SQL query including the SELECT, FROM, and WHERE clauses. Finally, it outlines several set operations in SQL like UNION, UNION ALL, INTERSECT, and MINUS.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
This document discusses how to manage tables in a database including creating, modifying, and dropping tables. The key points are:
1. A table stores data in rows and columns and is created using the CREATE TABLE statement.
2. Tables can be modified using the ALTER TABLE statement to add, modify, or drop columns and constraints.
3. Integrity constraints like primary keys, foreign keys, checks and defaults are applied to tables to maintain data integrity.
4. External tables allow querying data stored outside the database in flat files and are created using the CREATE TABLE statement with the ORGANIZATION EXTERNAL clause.
The document provides information on various SQL commands used to create and manage databases and tables. It explains how to use SHOW, CREATE DATABASE, USE, SHOW TABLES, CREATE TABLE, DESCRIBE, ALTER TABLE, SELECT, UPDATE, DELETE, INSERT, CREATE VIEW commands. It also discusses table constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and provides examples of how to implement them in CREATE TABLE and ALTER TABLE statements.
This document provides an overview of DML and DDL in databases. DML is used to manipulate data and includes commands like SELECT, INSERT, and UPDATE. It retrieves, inserts, modifies, and deletes data. DDL is used to define and modify database structures and includes commands like CREATE, ALTER, and DROP to create, modify, and delete tables, columns, and other database objects. Examples of the syntax for each command type are also provided, along with contact details for the organization providing the information.
This document provides summaries of common SQL statements including SELECT, INSERT, UPDATE, DELETE, ALTER TABLE, CREATE TABLE, JOIN, GROUP BY and more. Each statement is summarized with its basic syntax structure and purpose. For example, SELECT is used to retrieve data from one or more tables and includes the columns to select, tables to query from and optional filters.
The document discusses different ways to manipulate data in tables, including inserting, updating, and deleting rows. It explains that the INSERT statement is used to add rows to a table. The UPDATE statement updates existing rows by changing column values. Rows can be deleted using the DELETE statement with an optional WHERE clause to target specific rows, or the TRUNCATE statement to delete all rows at once. Subqueries can also be used with these statements to insert, update, or delete rows based on the results of a subquery. Guidelines are provided for each operation to ensure data integrity is maintained.
Oracle SQL - Select Part -1 let's write some queries!A Data Guru
This document provides an introduction to selecting data from database tables in SQL. It discusses running SQL scripts, what a database table is, the basic SELECT statement syntax to retrieve data from a table including columns, filters, grouping and having. It also covers data types, primary keys, column aliases, and unlocking other user schemas.
This document discusses maintaining data integrity through constraints. It describes the different types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK. It explains how to define constraints as immediate or deferred and guidelines for defining constraints. Methods are presented for enabling constraints with or without validating existing data, and getting constraint information from the data dictionary.
This document discusses how to produce readable output using substitution variables and formatting commands in SQL*Plus. It covers how to:
1. Use substitution variables to prompt for and store values for use in SQL statements.
2. Customize the SQL*Plus environment using SET commands and control column formatting with COLUMN.
3. Create script files to run formatted reports by adding SQL*Plus commands before and after SELECT statements.
Producing Readable Output with iSQL*Plus - Oracle Data BaseSalman Memon
After completing this lesson, you should be able to
do the following:
Produce queries that require a substitution variable
Customize the iSQL*Plus environment
Produce more readable output
Create and execute script files
http://phpexecutor.com
This document provides an overview of Transact-SQL (T-SQL) and how to use it to analyze, manipulate, and manage data in a SQL Server 2012 database. It covers the core components of T-SQL including the data manipulation language (DML) to query and modify data, the data definition language (DDL) to define and manage database objects, and the data control language (DCL) to manage permissions. Key T-SQL concepts explained include performing simple and complex queries with SELECT statements, filtering and sorting results, joining tables, and modifying data using INSERT, UPDATE, and DELETE statements. The document also covers managing database users, roles, schemas and permissions.
SQL: Structured Query Language
Includes:
Introduction
It is a computer programming language that is used for storage, retrieval and manipulation of data that is stored in relational database. This is a standard computer programming language used for RDMS (Relational Database Management Systems).
IBM’s Ted Cod a.k.a Father of Relational databases gave the concept of relational model for database in 1970. It was 4 years later SQL appeared in 1974. This was just an idea, which got conceptualized in the form of Systems/R in 1978 and was released by IBM. The ANSI standards and first prototype of relational databases was released in 1986, which is popularly knows as Oracle
Advantages:
Used for accessing data in RDBMS.
Used for describing data.
Definition of data and its manipulation.
Can be used with other programming language by embedding SQL modules into other languages code, pre-compilers and libraries.
Possible to create and drop data base using this programming language.
Setting permission on views, table and procedures.
Can be used for creating views, procedures and functions.
Commands
Commands in SQL are categorized into three category namely
DDL – Data definition language
DML – Data Manipulation language
DCL – Data Control language
Data Definition Language (DDL)
Commands that are classified under DDL category are as follows:
CREATE – Used for creating an object, table/view.
ALTER – Used for modifying an existing database object.
DROP – Object, table an views created using CREATE can be deleted/removed.
Data Manipulation Language (DML)
Commands that are classified under DML are as follows:
SELECT – Used for retrieving a set of records from one/more than one tables.
DELETE – Used for deleting records.
UPDATE – Used for modifying / updating records.
INSERT – Used for inserting records.
Data Control Language (DCL)
Commands that have been classified under DCL are:
GRANT – Users can be granted permission / privileges using this command
REVOKE – Privileges to the user can be taken back using this command.
Constraints
Rules are enforced on the columns of the table that contain data specific for the field for all the record in the table. These rules are referred to as constraints, which are generally used to ensure that field only gets a particular type of value. For instance if there is a field called “Age” in the table, then this field can only take numeric value.
Constraints set up for the table apply to all the data stored in the table.
Some of the common constraints are:
NOT NULL:
This constraints ensure that the field value is never set to NULL
DEFAULT:
Typically used to fill in a default value for any field left blank.
UNIQUE:
If the constraints is set on a column, then all value set for this field will have to be unique
The document discusses various SQL statements and functions used for managing databases and querying data. It provides the syntax for SQL statements like CREATE TABLE, INSERT, SELECT, UPDATE, DELETE and functions like COUNT, AVG, MIN, MAX, SUM to operate on data in database tables. It also covers statements for altering tables, joining tables, filtering rows with WHERE and HAVING clauses, removing duplicates with DISTINCT, and ordering results.
The ppt is part of the YouTube Video on SQL. https://youtu.be/1oL9o3SZ1bA
The SQL Video teaches you and also shows you example of the usage of ALTER TABLE, SELECT DISTINCT and WHERE commands in SQL command line.
The document discusses SQL and its functions. SQL is a language used to store, manipulate, and retrieve data in relational databases. It includes data definition language (DDL) commands like CREATE, ALTER, TRUNCATE, DROP, and RENAME to define and modify database structures. It also includes data manipulation language (DML) commands like INSERT, UPDATE, DELETE, and MERGE to manage data within databases. Examples of each command are provided.
This document discusses database constraints. It explains that constraints are used to specify rules for data in tables to maintain integrity. There are two levels of constraints - column and table level. The main types of constraints are NOT NULL, UNIQUE, CHECK, DEFAULT, and key constraints like PRIMARY KEY and FOREIGN KEY. Constraints enforce limits on the data, make columns non-nullable, enforce unique values, check value ranges, provide default values, and relate tables through primary and foreign keys. Maintaining constraints helps ensure only valid data is stored in the database.
This document discusses SQL and its data types, data definition language (DDL), data manipulation language (DML), and data control language (DCL). It defines SQL as a standardized language for querying and updating databases and lists common SQL data types like string, numeric, and date/time. It describes DDL commands for creating, altering, and dropping database tables as well as adding, modifying, and removing columns.
The DELETE statement is used to delete rows from a table based on an optional WHERE clause. If no WHERE clause is specified, all rows will be deleted. The TRUNCATE statement deletes all rows from a table and frees up the space, while the DROP statement removes the table structure entirely from the database. DELETE does not free space, TRUNCATE does, and DROP removes the table permanently along with any relationships to other tables.
This document defines SQL data definition statements and basic SQL query structure. It discusses DDL statements like CREATE, ALTER, and DROP that are used to define and manage database structures. It also explains the typical components of an SQL query including the SELECT, FROM, and WHERE clauses. Finally, it outlines several set operations in SQL like UNION, UNION ALL, INTERSECT, and MINUS.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
This document discusses how to manage tables in a database including creating, modifying, and dropping tables. The key points are:
1. A table stores data in rows and columns and is created using the CREATE TABLE statement.
2. Tables can be modified using the ALTER TABLE statement to add, modify, or drop columns and constraints.
3. Integrity constraints like primary keys, foreign keys, checks and defaults are applied to tables to maintain data integrity.
4. External tables allow querying data stored outside the database in flat files and are created using the CREATE TABLE statement with the ORGANIZATION EXTERNAL clause.
The document provides information on various SQL commands used to create and manage databases and tables. It explains how to use SHOW, CREATE DATABASE, USE, SHOW TABLES, CREATE TABLE, DESCRIBE, ALTER TABLE, SELECT, UPDATE, DELETE, INSERT, CREATE VIEW commands. It also discusses table constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY and provides examples of how to implement them in CREATE TABLE and ALTER TABLE statements.
This document provides an overview of DML and DDL in databases. DML is used to manipulate data and includes commands like SELECT, INSERT, and UPDATE. It retrieves, inserts, modifies, and deletes data. DDL is used to define and modify database structures and includes commands like CREATE, ALTER, and DROP to create, modify, and delete tables, columns, and other database objects. Examples of the syntax for each command type are also provided, along with contact details for the organization providing the information.
This document provides summaries of common SQL statements including SELECT, INSERT, UPDATE, DELETE, ALTER TABLE, CREATE TABLE, JOIN, GROUP BY and more. Each statement is summarized with its basic syntax structure and purpose. For example, SELECT is used to retrieve data from one or more tables and includes the columns to select, tables to query from and optional filters.
The document discusses different ways to manipulate data in tables, including inserting, updating, and deleting rows. It explains that the INSERT statement is used to add rows to a table. The UPDATE statement updates existing rows by changing column values. Rows can be deleted using the DELETE statement with an optional WHERE clause to target specific rows, or the TRUNCATE statement to delete all rows at once. Subqueries can also be used with these statements to insert, update, or delete rows based on the results of a subquery. Guidelines are provided for each operation to ensure data integrity is maintained.
Oracle SQL - Select Part -1 let's write some queries!A Data Guru
This document provides an introduction to selecting data from database tables in SQL. It discusses running SQL scripts, what a database table is, the basic SELECT statement syntax to retrieve data from a table including columns, filters, grouping and having. It also covers data types, primary keys, column aliases, and unlocking other user schemas.
This document discusses maintaining data integrity through constraints. It describes the different types of constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK. It explains how to define constraints as immediate or deferred and guidelines for defining constraints. Methods are presented for enabling constraints with or without validating existing data, and getting constraint information from the data dictionary.
This document discusses how to produce readable output using substitution variables and formatting commands in SQL*Plus. It covers how to:
1. Use substitution variables to prompt for and store values for use in SQL statements.
2. Customize the SQL*Plus environment using SET commands and control column formatting with COLUMN.
3. Create script files to run formatted reports by adding SQL*Plus commands before and after SELECT statements.
Producing Readable Output with iSQL*Plus - Oracle Data BaseSalman Memon
After completing this lesson, you should be able to
do the following:
Produce queries that require a substitution variable
Customize the iSQL*Plus environment
Produce more readable output
Create and execute script files
http://phpexecutor.com
This document provides an overview of Transact-SQL (T-SQL) and how to use it to analyze, manipulate, and manage data in a SQL Server 2012 database. It covers the core components of T-SQL including the data manipulation language (DML) to query and modify data, the data definition language (DDL) to define and manage database objects, and the data control language (DCL) to manage permissions. Key T-SQL concepts explained include performing simple and complex queries with SELECT statements, filtering and sorting results, joining tables, and modifying data using INSERT, UPDATE, and DELETE statements. The document also covers managing database users, roles, schemas and permissions.
The document provides guidelines for naming conventions, structure, formatting, and coding of SQL Server databases. It recommends:
1) Using Pascal casing and suffixes like "s" for table names and prefixes for other objects.
2) Normalizing data to third normal form and avoiding TEXT data types when possible.
3) Formatting code for readability using styles like uppercase SQL keywords and indentation.
4) Coding best practices like optimizing queries, avoiding cursors, and checking for errors.
This document provides guidelines for developing databases and writing SQL code. It includes recommendations for naming conventions, variables, select statements, cursors, wildcard characters, joins, batches, stored procedures, views, data types, indexes and more. The guidelines suggest using more efficient techniques like derived tables, ANSI joins, avoiding cursors and wildcards at the beginning of strings. It also recommends measuring performance and optimizing for queries over updates.
Pointers in C++ allow programs to store and manipulate memory addresses. Pointers contain the address of another variable. They are used to pass variables by reference into functions and access array elements. A pointer is initialized by assigning the address of a variable to it using the & operator. The * operator is used for indirection to access the value at the address stored in the pointer. Pointers can also point to other pointers. Arrays of pointers store multiple memory addresses. The name of an array acts as a constant pointer containing the base address of the array.
This document provides an overview of PL/SQL including:
- PL/SQL block structure with declare, execution, and exception sections
- Variables, constants, datatypes
- Control structures like IF/ELSE statements and loop structures
- Procedures and functions
- Uses of PL/SQL include combining SQL with procedural logic, writing reusable code, and handling exceptions.
PL/SQL provides two types of composite datatypes - records and collections. Records allow grouping of related data elements, while collections allow storing multiple values in a single variable. Collections include index-by tables, nested tables, and varrays. Cursors allow processing rows from a SQL query one by one. Explicit cursors must be declared, opened, fetched from, and closed. Implicit cursors are used for DML statements. Functions return a value and can be used in SQL expressions, while procedures perform actions without returning a value. Both can accept parameters.
This document discusses using SignalR and SQL dependency to create real-time updates from a database to clients. It describes how polling was used in the past versus SignalR pushing data instantly. SQL dependency allows a query to detect when results change and fire an event to SignalR. There are limitations on query types that can be monitored such as no aggregates, views, subqueries or other databases. A demo architecture is shown using SignalR to push flight info changes from a console app monitoring SQL dependency to multiple clients.
DataWeave is the native transformation language for Mule that allows developers to manipulate and transform data. It has a simple JSON-like syntax and built-in functions/operators to work with common data types like strings, numbers, arrays, and objects. DataWeave transformations are optimized to run efficiently within Mule's runtime environment without additional configuration.
This PPT contains A to Z topics of C programming language. It makes learners to find it easy to learn C. Tutors also can use the PPT for better presentation.
PL/SQL is a programming language that combines the SQL operations of querying and manipulating data in an Oracle database with the procedural language constructs of variables, conditions, and loops. PL/SQL can be used for database-side programming as well as client-side application development. It provides advantages like better performance, portability, higher productivity, and integration with Oracle. PL/SQL supports various data types, control structures, exception handling, and object-oriented programming features. Cursors allow processing of multiple rows returned from a SQL statement and can be static, dynamic, or reference types. Procedures and functions are reusable program units that allow passing parameters and returning values.
03 Writing Control Structures, Writing with Compatible Data Types Using Expli...rehaniltifat
This document discusses composite data types in PL/SQL including records, collections like index by tables and nested tables, and using explicit cursors. It provides examples of declaring different composite data types like records and index by tables, using %ROWTYPE attribute, and controlling explicit cursors through open, fetch, close operations and cursor attributes. It also discusses using cursors with parameters and FOR UPDATE/WHERE CURRENT OF clauses for locking and updating rows.
SQL is a standard language used to manage data in relational database systems. The SELECT statement is used to retrieve data from databases. It allows specifying columns, tables, filters and sorting. Common clauses include SELECT, FROM, WHERE, ORDER BY, and optional clauses like DISTINCT, GROUP BY and HAVING. Operators allow filtering rows by conditions, ranges, patterns and more. SQL is a non-procedural language used to perform queries, inserts, updates and deletes on a relational database.
Parameter substitution in Aginity WorkbenchMary Uguet
This document discusses parameter substitution in Aginity Workbench, which allows developers to write SQL queries and scripts that include parameters. This enables running queries with different filters, date ranges, or table and column names by prompting for parameter values when executing. The feature streamlines testing queries with multiple variable values by avoiding multiple find-and-replace operations. Parameters are defined using a $ prefix, and the user is prompted to supply a value and data type when running a query containing parameters.
This document provides an overview of SQL concepts including:
- Data types like char, varchar, and null
- Core SQL commands like select, update, delete, truncate, and alter
- Joins like inner, left, and cross joins
- Transaction control with commit, rollback, and savepoints
- Exception handling and the ACID properties of transactions
- Other objects like views, sequences, indexes, and stored procedures
This document provides tips for improving the performance of stored procedures and SQL queries. Some key points include:
1) Use column lists instead of "*" in SELECT statements to minimize network traffic and only return needed columns.
2) Use ANSI 92 syntax like INNER JOIN instead of older syntax to future proof queries.
3) Consider using table variables instead of temp tables to avoid recompiles in some cases.
4) Add proper indexes to avoid full table scans and improve performance of queries.
5) Avoid dynamic SQL when possible to prevent recompilation of execution plans.
This summarizes best practices for writing efficient stored procedures and queries discussed in the document.
SQL is a language used to interface with relational databases. It allows users to create, modify and delete database structures and data. Key features include using commands like SELECT, INSERT, UPDATE and DELETE. SQL follows specific syntax rules and uses delimiters like semicolons. It supports various data types and operators to perform queries and manipulations. Common SQL statements are used for data definition (DDL), data manipulation (DML), and data control (DCL).
This document describes various database objects like sequences, indexes, and synonyms. It explains that sequences are used to automatically generate primary keys and improve efficiency. Indexes speed up queries by indexing columns frequently used in WHERE clauses. Synonyms provide alternative names for objects to simplify access. The document provides examples of creating, modifying, viewing, and dropping these database objects using SQL statements.
This document provides an overview of SQL and database concepts. It discusses:
- The basic structure of tables, rows, columns, and data types
- The four main SQL languages: DDL, DML, TCL, and DCL and common commands like CREATE, INSERT, UPDATE, DELETE, etc.
- Database objects like tables, views, indexes, and how to query them
- Constraints like PRIMARY KEY, UNIQUE, NOT NULL and REFERENTIAL integrity
- Transactions with COMMIT, ROLLBACK, and SAVEPOINT
Similar to SQL Readable Outputs - Oracle SQL Fundamentals (20)
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
SQL Readable Outputs - Oracle SQL Fundamentals
1. SQL Fundamentals Oracle 11g
M U H A M M A D WA H E E D
O R AC L E DATA BA S E D E V E LO P E R
E M A I L : m .wa h e e d 3 6 6 8 @ g m a i l . co m
Lecture#9
Readable Outputs with
iSQL*Plus
8. Substitution Variables(cont’d)
Use of DEFINE substitution variable:
• Creates a user variable with the CHAR data type
DEFINE variable = value (if value includes spaces than use single quotes to enclose the value)
• A defined variable is available for the session
8
9. Substitution Variables(cont’d)
Use of DEFINE and UNDEFINE commands:
• A variable remains defined until you either
- Use the UNDEFINE command to clear it
- Exit iSQL*Plus
•You can verify changes with DEFINE command
9
10. Substitution Variables(cont’d)
Use of && with substitution variables:
• If you want to reuse a variable value without prompting the user each time
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11. MERGE Statement
•It performs UPDATE if record exists and INSERT if record not found.
•Mostly used in data warehousing applications.
•Syntax:
MERGE INTO <receiver_table_name> <receiver_table_alias>
USING <sender_table_name> <table_alias>
ON (<receiver_table_alias>.<column_name>= <sender_table_alias>.<column_name>)
WHEN MATCHED THEN
UPDATE SET
<receiver_table_alias>.<column_name> = <sender_table_name>.<column_name>
WHEN NOT MATCHED THEN
INSERT VALUES(<sender_table_name>.<column_name> ,…..);
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