The document provides training content for the Oracle OCP 1Z0-007 exam. It covers topics like retrieving data using the SQL SELECT statement, including basic SELECT statements, column aliases, arithmetic expressions, null values, concatenation operators, and using the DESCRIBE command. It also discusses the differences between SQL statements and iSQL*Plus commands, and provides examples of interacting with iSQL*Plus and script files. Practice questions at the end test understanding of concepts like SQL statement capabilities, column alias usage, and iSQL*Plus features.
This document provides an overview of using SQL SELECT statements to retrieve data from Oracle databases. It covers the basic syntax of SELECT statements including selecting all or specific columns, using column aliases, arithmetic expressions, null values, and concatenation. It also discusses the difference between SQL statements and iSQL*Plus commands, and how to interact with the iSQL*Plus environment including describing tables, running scripts, and preferences. The goal is to teach the reader how to write basic SELECT statements and use the iSQL*Plus interface to interact with an Oracle database.
This document provides a lesson on using SQL SELECT statements to retrieve data from database tables. It covers the basic SELECT statement syntax, selecting specific columns, column aliases, arithmetic expressions, NULL values, concatenation operators, literal strings, the DISTINCT keyword, and using the DESCRIBE command to view table structures. The objectives are to be able to list the capabilities of SQL SELECT statements and execute a basic SELECT statement.
After completing this lesson, you should be able to
do the following:
List the capabilities of SQL SELECT statements
Execute a basic SELECT statement
Differentiate between SQL statements and iSQL*Plus commands
http://phpexecutor.com
This document discusses retrieving data in PL/SQL. It reviews that SQL statements like SELECT, INSERT, UPDATE and DELETE can be used directly in PL/SQL code. It also notes limitations around DDL and DCL statements. The key points covered include using the SELECT statement to retrieve data into PL/SQL variables, following naming convention guidelines for variables, and organizing code into blocks to improve readability.
Displaying Data from Multiple Tables - Oracle Data BaseSalman Memon
This document discusses different types of joins in SQL for combining data from multiple tables, including:
- Inner joins, which return rows that match the join condition between two tables.
- Outer joins, which return all rows from one table and matched rows from the other table.
- Self joins, which join a table to itself to link records together such as employees and their managers.
The document provides examples of joins using both Oracle's proprietary syntax and the SQL:1999 standard syntax.
Aggregating Data Using Group FunctionsSalman Memon
After completing this lesson, you should be able to
do the following:
Identify the available group functions
Describe the use of group functions
Group data using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause
http://phpexecutor.com
This document discusses explicit cursors in PL/SQL. It begins by listing the objectives of the lesson, which include distinguishing between implicit and explicit cursors, describing when to use explicit cursors, listing guidelines for declaring and controlling explicit cursors, and demonstrating how to open a cursor, fetch data into variables, loop through multiple rows, and close a cursor. It then explains the purpose of explicit cursors when a SELECT statement may return multiple rows. It discusses context areas and cursors, the limitations of implicit cursors, and shows examples of declaring, opening, fetching from, and closing an explicit cursor.
The document discusses conditional control structures in PL/SQL, specifically IF statements. It describes the basic syntax of IF statements, including the use of IF-THEN, IF-THEN-ELSE, and IF-ELSIF-ELSE structures. Examples are provided to demonstrate how conditions are evaluated and how control flow works based on whether conditions evaluate to TRUE, FALSE, or NULL. The use of logical operators and handling of NULL values within IF statements is also covered.
This document provides an overview of using SQL SELECT statements to retrieve data from Oracle databases. It covers the basic syntax of SELECT statements including selecting all or specific columns, using column aliases, arithmetic expressions, null values, and concatenation. It also discusses the difference between SQL statements and iSQL*Plus commands, and how to interact with the iSQL*Plus environment including describing tables, running scripts, and preferences. The goal is to teach the reader how to write basic SELECT statements and use the iSQL*Plus interface to interact with an Oracle database.
This document provides a lesson on using SQL SELECT statements to retrieve data from database tables. It covers the basic SELECT statement syntax, selecting specific columns, column aliases, arithmetic expressions, NULL values, concatenation operators, literal strings, the DISTINCT keyword, and using the DESCRIBE command to view table structures. The objectives are to be able to list the capabilities of SQL SELECT statements and execute a basic SELECT statement.
After completing this lesson, you should be able to
do the following:
List the capabilities of SQL SELECT statements
Execute a basic SELECT statement
Differentiate between SQL statements and iSQL*Plus commands
http://phpexecutor.com
This document discusses retrieving data in PL/SQL. It reviews that SQL statements like SELECT, INSERT, UPDATE and DELETE can be used directly in PL/SQL code. It also notes limitations around DDL and DCL statements. The key points covered include using the SELECT statement to retrieve data into PL/SQL variables, following naming convention guidelines for variables, and organizing code into blocks to improve readability.
Displaying Data from Multiple Tables - Oracle Data BaseSalman Memon
This document discusses different types of joins in SQL for combining data from multiple tables, including:
- Inner joins, which return rows that match the join condition between two tables.
- Outer joins, which return all rows from one table and matched rows from the other table.
- Self joins, which join a table to itself to link records together such as employees and their managers.
The document provides examples of joins using both Oracle's proprietary syntax and the SQL:1999 standard syntax.
Aggregating Data Using Group FunctionsSalman Memon
After completing this lesson, you should be able to
do the following:
Identify the available group functions
Describe the use of group functions
Group data using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause
http://phpexecutor.com
This document discusses explicit cursors in PL/SQL. It begins by listing the objectives of the lesson, which include distinguishing between implicit and explicit cursors, describing when to use explicit cursors, listing guidelines for declaring and controlling explicit cursors, and demonstrating how to open a cursor, fetch data into variables, loop through multiple rows, and close a cursor. It then explains the purpose of explicit cursors when a SELECT statement may return multiple rows. It discusses context areas and cursors, the limitations of implicit cursors, and shows examples of declaring, opening, fetching from, and closing an explicit cursor.
The document discusses conditional control structures in PL/SQL, specifically IF statements. It describes the basic syntax of IF statements, including the use of IF-THEN, IF-THEN-ELSE, and IF-ELSIF-ELSE structures. Examples are provided to demonstrate how conditions are evaluated and how control flow works based on whether conditions evaluate to TRUE, FALSE, or NULL. The use of logical operators and handling of NULL values within IF statements is also covered.
This document provides a lesson on retrieving data using SQL SELECT statements. It covers the basic capabilities and syntax of SELECT statements, including selecting specific columns, using column aliases, arithmetic expressions, concatenation operators, and the DISTINCT keyword. It also demonstrates the DESCRIBE command to view table structures. The objectives are to be able to list the capabilities of SELECT statements and execute a basic SELECT query.
This document contains a lesson on using group functions in Oracle SQL to report aggregated data. It discusses the different types of group functions like COUNT, AVG, MAX, MIN, and SUM. It explains how to use the GROUP BY clause to group data and the HAVING clause to filter groups. Examples are provided to demonstrate calculating averages, sums, maximums, and minimums across groups. The objectives, syntax, and best practices of group functions are clearly outlined.
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.
The document provides information on using data definition language (DDL) statements to create and manage database tables in Oracle, including how to:
- Define the structure of tables using the CREATE TABLE statement by specifying column names, data types, constraints, etc.
- Add, modify, or drop columns on existing tables using the ALTER TABLE statement.
- Create a new table populated with data from an existing table using a subquery with the CREATE TABLE statement.
This document provides an overview of using SQL SELECT statements to retrieve data from Oracle databases. It covers the basic capabilities and syntax of SELECT statements, including selecting all or specific columns, arithmetic expressions, column aliases, and concatenation operators. It also describes the difference between SQL statements, which manipulate database data, and iSQLPlus commands, which are used to interact with the iSQLPlus environment but do not change database values. The document demonstrates basic SELECT statements and using iSQLPlus to view table structures, run SQL scripts, and set preferences.
This document discusses restricting and sorting data in Oracle. It covers using the WHERE clause to limit rows retrieved by a query based on conditions. It also discusses using the ORDER BY clause to sort rows retrieved by a query. Finally, it discusses using ampersand substitution in SQL*Plus to restrict and sort output dynamically at runtime by prompting for variable values.
This document is a lesson on using subqueries in Oracle OCP certification exams. It defines subqueries, describes how they can solve problems, and lists the types of subqueries. It provides examples of single-row and multiple-row subqueries using operators like IN, ANY, and ALL. The lesson emphasizes guidelines for using subqueries and handling null values in subqueries.
This document discusses using subqueries to solve database queries. It defines subqueries and describes how they can be used to solve problems by finding unknown values. The document outlines the types of subqueries, including single-row and multiple-row subqueries, and how to write subqueries using different operators like =, >, IN, ANY and ALL. Examples are provided to demonstrate how to structure and write subqueries to return the needed information from a database.
This document provides an overview of creating and using various schema objects in Oracle such as views, sequences, indexes, and synonyms. It discusses the basics of creating simple and complex views, using sequences to generate unique numbers, improving query performance with indexes, and using synonyms to provide alternative names for objects. The document also covers rules for modifying and retrieving data from views, guidelines for creating indexes, and querying data dictionary views for metadata on indexes.
The document discusses different types of joins in Oracle SQL, including:
- Inner joins (equijoins and non-equijoins) to retrieve matching rows from two or more tables
- Outer joins to also retrieve non-matching rows
- Self joins to join a table to itself
- Multiple examples of SQL queries are provided to demonstrate different join types
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 discusses new features in Java Persistence API (JPA) 2.0, including more flexible object/relational mapping, an expanded query language, the addition of the Criteria API and Metamodel API, support for pessimistic locking and validation, and standardized configuration options. JPA 2.0 provides object/relational mapping for Java applications and allows developers to manage data persistence through an entity manager and query language.
This document discusses how to summarize and aggregate data using group functions in SQL. It covers the available group functions like COUNT, MAX, MIN, AVG, and SUM. It explains how to use the GROUP BY clause to divide rows into groups and the HAVING clause to restrict groups. The syntax for queries using group functions, GROUP BY, and HAVING is also demonstrated through examples.
Dare to build vertical design with relational data (Entity-Attribute-Value)Ivo Andreev
Entity-Attribute-Value model is often called “anti-pattern” by the criticism. And probably they would be right if one misses to read the “Handle with Care” label on it. Enthusiastic inexperienced developers would easily compromise the benefits of relational DB but the coin has yet another side. Hierarchical object with thousands of properties, unknown schema, flexibility and millions of records. As always – we have to sacrifice one thing in order to win another. Then all it comes to priorities and ability for decision making. At this lecture you will not get a step-by-step manual but instead get ideas for how to build one for you. A challenge, a proof of concept, hard work and successful project for millions – that is the story to share.
The document discusses analytical functions in data warehousing for Oracle. It provides an overview of aggregate and analytic functions, including first/last value, LAG/LEAD, pivoting, and ranking. Examples are given showing how to use these functions to perform windowing, aggregation, and pattern matching on data. References for further reading on Oracle analytical functions are also included.
EMF-IncQuery 0.7 Presentation for ItemisIstvan Rath
The document introduces EMF-INCQUERY, a model query engine for Eclipse Modeling Framework (EMF) models. It provides an expressive graph pattern query language and incremental query evaluation based on the Rete algorithm. This enables efficient complex queries over large models. EMF-INCQUERY addresses performance issues of model queries in modeling tools and simplifies writing complex queries through reusable query libraries and pattern composition. It integrates with EMF-based applications and provides features like on-the-fly validation and view maintenance.
Functional Programming With Lambdas and Streams in JDK8IndicThreads
The significant new language feature in Java SE 8 is the introduction of Lambda expressions, a way of defining and using anonymous functions. On its own this provides a great way to simplify situations where we would typically use an inner class today. However, Java SE 8 also introduces a range of new classes in the standard libraries that are designed specifically to take advantage of Lambdas. These are primarily included in two new packages: java.util.stream and java.util.function.
After a brief discussion of the syntax and use of Lambda expressions this session will focus on how to use Streams to greatly simplify the way bulk and aggregate operations are handled in Java. We will look at examples of how a more functional approach can be taken in Java using sources, intermediate operations and terminators. We will also discuss how this can lead to improvements in performance for many operations through the lazy evaluation of Streams and how code can easily be made parallel by changing the way the Stream is created.
Session at the IndicThreads.com Confence held in Pune, India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
The document provides an overview of the Zend PHP 5.3 certification exam. It discusses the exam format, topics covered, registration process, question types, and areas of focus. The exam consists of around 70 randomly generated multiple choice and short answer questions testing knowledge of PHP across 10 topic areas, with an emphasis on PHP basics, security, and web features. Test takers have 90 minutes to complete the exam.
This document discusses using subqueries to solve queries. It covers defining subqueries, the types of problems they can solve, the types of subqueries, and how to write single-row and multiple-row subqueries. The key topics covered are the syntax of subqueries, using single-row subqueries with group functions and the HAVING clause, and using multiple-row subqueries with the ALL, ANY, and EXISTS operators.
To extract data from the database, you need to use the structured query language (SQL) SELECT statement. You may need to restrict the columns that are displayed. This lesson describes all the SQL statements needed to perform these actions.You may want to create SELECT statements that can be used more than once. This lesson also covers the iSQL*Plus environment where you execute SQL statements.
Note: iSQL*Plus is new in the Oracle9i product. It is a browser environment where you execute SQL commands. In prior releases of Oracle, SQL*Plus was the default environment where you executed SQL commands. SQL*Plus is still available and is described in Appendix C.
This document provides a lesson on retrieving data using SQL SELECT statements. It covers the basic capabilities and syntax of SELECT statements, including selecting specific columns, using column aliases, arithmetic expressions, concatenation operators, and the DISTINCT keyword. It also demonstrates the DESCRIBE command to view table structures. The objectives are to be able to list the capabilities of SELECT statements and execute a basic SELECT query.
This document contains a lesson on using group functions in Oracle SQL to report aggregated data. It discusses the different types of group functions like COUNT, AVG, MAX, MIN, and SUM. It explains how to use the GROUP BY clause to group data and the HAVING clause to filter groups. Examples are provided to demonstrate calculating averages, sums, maximums, and minimums across groups. The objectives, syntax, and best practices of group functions are clearly outlined.
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.
The document provides information on using data definition language (DDL) statements to create and manage database tables in Oracle, including how to:
- Define the structure of tables using the CREATE TABLE statement by specifying column names, data types, constraints, etc.
- Add, modify, or drop columns on existing tables using the ALTER TABLE statement.
- Create a new table populated with data from an existing table using a subquery with the CREATE TABLE statement.
This document provides an overview of using SQL SELECT statements to retrieve data from Oracle databases. It covers the basic capabilities and syntax of SELECT statements, including selecting all or specific columns, arithmetic expressions, column aliases, and concatenation operators. It also describes the difference between SQL statements, which manipulate database data, and iSQLPlus commands, which are used to interact with the iSQLPlus environment but do not change database values. The document demonstrates basic SELECT statements and using iSQLPlus to view table structures, run SQL scripts, and set preferences.
This document discusses restricting and sorting data in Oracle. It covers using the WHERE clause to limit rows retrieved by a query based on conditions. It also discusses using the ORDER BY clause to sort rows retrieved by a query. Finally, it discusses using ampersand substitution in SQL*Plus to restrict and sort output dynamically at runtime by prompting for variable values.
This document is a lesson on using subqueries in Oracle OCP certification exams. It defines subqueries, describes how they can solve problems, and lists the types of subqueries. It provides examples of single-row and multiple-row subqueries using operators like IN, ANY, and ALL. The lesson emphasizes guidelines for using subqueries and handling null values in subqueries.
This document discusses using subqueries to solve database queries. It defines subqueries and describes how they can be used to solve problems by finding unknown values. The document outlines the types of subqueries, including single-row and multiple-row subqueries, and how to write subqueries using different operators like =, >, IN, ANY and ALL. Examples are provided to demonstrate how to structure and write subqueries to return the needed information from a database.
This document provides an overview of creating and using various schema objects in Oracle such as views, sequences, indexes, and synonyms. It discusses the basics of creating simple and complex views, using sequences to generate unique numbers, improving query performance with indexes, and using synonyms to provide alternative names for objects. The document also covers rules for modifying and retrieving data from views, guidelines for creating indexes, and querying data dictionary views for metadata on indexes.
The document discusses different types of joins in Oracle SQL, including:
- Inner joins (equijoins and non-equijoins) to retrieve matching rows from two or more tables
- Outer joins to also retrieve non-matching rows
- Self joins to join a table to itself
- Multiple examples of SQL queries are provided to demonstrate different join types
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 discusses new features in Java Persistence API (JPA) 2.0, including more flexible object/relational mapping, an expanded query language, the addition of the Criteria API and Metamodel API, support for pessimistic locking and validation, and standardized configuration options. JPA 2.0 provides object/relational mapping for Java applications and allows developers to manage data persistence through an entity manager and query language.
This document discusses how to summarize and aggregate data using group functions in SQL. It covers the available group functions like COUNT, MAX, MIN, AVG, and SUM. It explains how to use the GROUP BY clause to divide rows into groups and the HAVING clause to restrict groups. The syntax for queries using group functions, GROUP BY, and HAVING is also demonstrated through examples.
Dare to build vertical design with relational data (Entity-Attribute-Value)Ivo Andreev
Entity-Attribute-Value model is often called “anti-pattern” by the criticism. And probably they would be right if one misses to read the “Handle with Care” label on it. Enthusiastic inexperienced developers would easily compromise the benefits of relational DB but the coin has yet another side. Hierarchical object with thousands of properties, unknown schema, flexibility and millions of records. As always – we have to sacrifice one thing in order to win another. Then all it comes to priorities and ability for decision making. At this lecture you will not get a step-by-step manual but instead get ideas for how to build one for you. A challenge, a proof of concept, hard work and successful project for millions – that is the story to share.
The document discusses analytical functions in data warehousing for Oracle. It provides an overview of aggregate and analytic functions, including first/last value, LAG/LEAD, pivoting, and ranking. Examples are given showing how to use these functions to perform windowing, aggregation, and pattern matching on data. References for further reading on Oracle analytical functions are also included.
EMF-IncQuery 0.7 Presentation for ItemisIstvan Rath
The document introduces EMF-INCQUERY, a model query engine for Eclipse Modeling Framework (EMF) models. It provides an expressive graph pattern query language and incremental query evaluation based on the Rete algorithm. This enables efficient complex queries over large models. EMF-INCQUERY addresses performance issues of model queries in modeling tools and simplifies writing complex queries through reusable query libraries and pattern composition. It integrates with EMF-based applications and provides features like on-the-fly validation and view maintenance.
Functional Programming With Lambdas and Streams in JDK8IndicThreads
The significant new language feature in Java SE 8 is the introduction of Lambda expressions, a way of defining and using anonymous functions. On its own this provides a great way to simplify situations where we would typically use an inner class today. However, Java SE 8 also introduces a range of new classes in the standard libraries that are designed specifically to take advantage of Lambdas. These are primarily included in two new packages: java.util.stream and java.util.function.
After a brief discussion of the syntax and use of Lambda expressions this session will focus on how to use Streams to greatly simplify the way bulk and aggregate operations are handled in Java. We will look at examples of how a more functional approach can be taken in Java using sources, intermediate operations and terminators. We will also discuss how this can lead to improvements in performance for many operations through the lazy evaluation of Streams and how code can easily be made parallel by changing the way the Stream is created.
Session at the IndicThreads.com Confence held in Pune, India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
The document provides an overview of the Zend PHP 5.3 certification exam. It discusses the exam format, topics covered, registration process, question types, and areas of focus. The exam consists of around 70 randomly generated multiple choice and short answer questions testing knowledge of PHP across 10 topic areas, with an emphasis on PHP basics, security, and web features. Test takers have 90 minutes to complete the exam.
This document discusses using subqueries to solve queries. It covers defining subqueries, the types of problems they can solve, the types of subqueries, and how to write single-row and multiple-row subqueries. The key topics covered are the syntax of subqueries, using single-row subqueries with group functions and the HAVING clause, and using multiple-row subqueries with the ALL, ANY, and EXISTS operators.
To extract data from the database, you need to use the structured query language (SQL) SELECT statement. You may need to restrict the columns that are displayed. This lesson describes all the SQL statements needed to perform these actions.You may want to create SELECT statements that can be used more than once. This lesson also covers the iSQL*Plus environment where you execute SQL statements.
Note: iSQL*Plus is new in the Oracle9i product. It is a browser environment where you execute SQL commands. In prior releases of Oracle, SQL*Plus was the default environment where you executed SQL commands. SQL*Plus is still available and is described in Appendix C.
This document provides a lesson on using SQL SELECT statements to retrieve data from database tables. It covers the basic SELECT statement syntax, arithmetic expressions, NULL values, column aliases, concatenation operators, literal strings, the DISTINCT keyword, and the DESCRIBE command. The objectives are to understand SQL SELECT statement capabilities and execute basic SELECT statements. The lesson agenda outlines these topics and provides examples of SELECT statements using these features.
This document discusses Oracle OCP exam training for lesson 3 on using single-row functions to customize output. It covers various types of SQL functions including character, number, and date functions. It provides examples of using case-manipulation, character-manipulation, number, and date functions in SELECT statements to modify and return values based on each row. Conversion functions like TO_NUMBER, TO_DATE, and TO_CHAR are also demonstrated to explicitly convert between data types.
This document discusses restricting and sorting data in Oracle SQL queries. It covers using the WHERE clause to limit the rows returned by selecting only those that meet certain conditions. It also discusses using the ORDER BY clause to sort the returned rows in ascending or descending order based on one or more columns. Various comparison operators, logical operators, and rules of precedence for combining conditions in the WHERE clause are also explained.
This document discusses creating and using stored functions in Oracle databases. It describes stored functions as named PL/SQL blocks that return a value and can be stored in the database for repeated execution. The document provides the syntax for creating functions, examples of creating and invoking functions, and restrictions on using functions in SQL statements. It also compares functions to procedures and describes how to remove functions from the database.
This document discusses data manipulation in Oracle databases. It covers the basic DML statements (INSERT, UPDATE, DELETE) for adding, modifying and removing rows from tables. It also discusses transactions, using SAVEPOINTs for partial commits, and implicit transaction processing when using tools like SQL*Plus. The goal is to teach students how to properly manipulate data at the row level through these key SQL statements.
This document introduces Oracle9i and relational database concepts. It discusses Oracle9i features like scalability and reliability. It also explains that a relational database consists of tables related through primary and foreign keys that can be accessed using SQL. The Oracle database server allows storage and querying of data across these tables.
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.
This document provides an overview of using data definition language (DDL) statements to create and manage tables in Oracle databases. It discusses the CREATE TABLE statement for creating tables, data types, constraints that can be defined during table creation like NOT NULL, UNIQUE, PRIMARY KEY and FOREIGN KEY. It also covers altering existing tables using the ALTER TABLE statement to add, modify or drop columns.
PL/SQL is Oracle's standard language for accessing and manipulating data in Oracle databases. It allows developers to integrate SQL statements with procedural constructs like variables, conditions, and loops. PL/SQL code is organized into blocks that define a declarative section for variable declarations and an executable section containing SQL and PL/SQL statements. Variables can be scalar, composite, reference, or LOB types and are declared in the declarative section before being used in the executable section.
This document provides an agenda for an SQL training covering topics like introduction to Oracle, working with SQL languages including operators, functions, integrity constraints, joins, subqueries, and schema objects. It begins with an introduction to relational database concepts and the relational model. It describes normalization and entity relationship modeling. It also demonstrates some basic SQL statements for selecting, restricting, sorting data and using functions. The training materials are copyrighted and all rights are reserved.
Kellyn Pot’Vin-Gorman compares indexing between SQL Server and Oracle. She loads data into sample tables in each platform, adjusts the fill factor/pctfree settings, and measures the impact on indexing and query performance. Her tests show that adjusting the fill factor in SQL Server and pctfree settings in Oracle to leave more free space per block significantly increases query times and index storage requirements. Oracle indexes are generally more efficient with lower pctfree values while SQL Server benefits from higher fill factor levels.
1. The document describes how to create and use stored procedures in Oracle, including defining parameters, parameter passing modes, and developing procedures.
2. Key aspects of procedures are that they promote reusability and maintainability, are created using the CREATE PROCEDURE statement, and can accept parameters to communicate data between the calling environment and the procedure.
3. Parameters can be defined using modes like IN, OUT, and IN OUT to determine how data is passed into and out of a procedure.
Introduction to Oracle SQL Database Systems.pptDrZeeshanBhatti
After completing this lesson, you should be able
to do the following:
List the features of Oracle9i
Discuss the theoretical and physical aspects of a relational database
Describe the Oracle implementation of the RDBMS and ORDBMS
This document discusses using set operators like UNION, INTERSECT, and MINUS to combine multiple queries into a single query. It describes how UNION returns distinct rows from multiple queries, UNION ALL returns all rows including duplicates, INTERSECT returns rows common to both queries, and MINUS returns rows in the first query not present in the second. The document provides examples of using these set operators on tables containing employee and job history data.
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 discusses SQL data manipulation language statements. It describes how to insert, update, and delete rows from database tables using INSERT, UPDATE, DELETE, and other statements. It also covers transactions, explaining how to commit or rollback changes and control transaction consistency using commands like COMMIT, ROLLBACK, and SAVEPOINT. The goal is to teach how to manipulate data in Oracle database tables through the use of SQL statements.
This document discusses data manipulation language (DML) statements in Oracle databases. It describes how to insert new rows into tables, update and modify existing rows, delete rows from tables, and control transactions using commands like COMMIT, ROLLBACK, and SAVEPOINT. Examples are provided for each DML statement and how to use them to manipulate data in database tables.
Les02 Restricting and Sorting Data using SQL.pptDrZeeshanBhatti
While retrieving data from the database, you may need to restrict the rows of data that are displayed or specify the order in which the rows are displayed. This lesson explains the SQL statements that you use to perform these actions.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
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!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.