This document provides an overview of SQL queries for inserting, updating, deleting, and viewing data in Oracle 10g. It covers using scripts to create tables, the INSERT command, search conditions, transactions, sequences, joins, nested queries, set operators, and views. The objectives are to learn how to manipulate and retrieve data from single and multiple tables using SQL.
This chapter discusses advanced SQL features including relational set operators like UNION and INTERSECT, different types of joins, subqueries, functions, views, triggers, stored procedures, cursors, and embedded SQL. It covers topics like using subqueries in the SELECT, WHERE, HAVING and FROM clauses, correlated subqueries, date/string/numeric functions, updatable views, procedural language features in PL/SQL including triggers and stored procedures, and static versus dynamic embedded SQL.
Introduction to structured query language (sql)Dhani Ahmad
This chapter discusses the basics of Structured Query Language (SQL) including how to use SQL commands to define databases and tables, manipulate data by inserting, updating, and deleting rows, and retrieve data through queries. It covers SQL commands for data definition, data manipulation, and data queries and includes examples of creating tables and inserting, updating, and selecting data.
This document introduces structured query language (SQL) and its basic commands and functions. It discusses how SQL is used for data administration, such as creating tables, indexes, and views, and for data manipulation like adding, modifying, deleting, and retrieving data. The two broad categories of SQL functions are data definition language for creating database objects and data manipulation language for inserting, updating, deleting, and retrieving data from tables.
Lec 1 = introduction to structured query language (sql)Faisal Anwar
This document provides an introduction to structured query language (SQL). It outlines the basic commands and functions of SQL for data administration and manipulation. SQL functions are divided into two categories: data definition language for creating database objects and tables, and data manipulation language for inserting, updating, deleting, and retrieving data. The document also covers topics such as data types, constraints, indexes, joins, and aggregate functions.
This document provides an introduction to structured query language (SQL). It outlines the basic commands and functions of SQL for data administration and manipulation. These include using SQL to create tables, indexes and views; and to add, modify, delete and retrieve data. The document also discusses SQL queries, constraints, indexes, joins and aggregate functions to extract useful information from databases.
This chapter discusses how to connect to and manipulate SQL Server databases from ASP.NET applications. It covers using classes in the System.Data.SqlClient namespace to connect to databases and execute SQL commands. Methods like ExecuteReader, ExecuteNonQuery and SqlDataReader are used to retrieve and modify data. The chapter also describes how to create, update and delete databases and tables by executing SQL statements with ASP.NET code.
This document provides an overview of advanced SQL and PL/SQL topics like stored program units, procedures, functions, packages, and triggers in Oracle 10g. It discusses how to create and use these program units, including their syntax, parameters, calling conventions, and debugging. Database triggers can be used to automatically execute code in response to data changes and maintain integrity. Packages allow for code reuse and organization through public and private program units and variables.
This document provides an overview of how to use SQL in Microsoft Access 2013. It covers how to create and modify SQL queries, including how to include fields, use criteria, computed fields, functions, sorting, grouping, joins, subqueries, and data manipulation commands. The chapter aims to help users understand the SQL language and how to incorporate various SQL elements and functions into queries.
This chapter discusses advanced SQL features including relational set operators like UNION and INTERSECT, different types of joins, subqueries, functions, views, triggers, stored procedures, cursors, and embedded SQL. It covers topics like using subqueries in the SELECT, WHERE, HAVING and FROM clauses, correlated subqueries, date/string/numeric functions, updatable views, procedural language features in PL/SQL including triggers and stored procedures, and static versus dynamic embedded SQL.
Introduction to structured query language (sql)Dhani Ahmad
This chapter discusses the basics of Structured Query Language (SQL) including how to use SQL commands to define databases and tables, manipulate data by inserting, updating, and deleting rows, and retrieve data through queries. It covers SQL commands for data definition, data manipulation, and data queries and includes examples of creating tables and inserting, updating, and selecting data.
This document introduces structured query language (SQL) and its basic commands and functions. It discusses how SQL is used for data administration, such as creating tables, indexes, and views, and for data manipulation like adding, modifying, deleting, and retrieving data. The two broad categories of SQL functions are data definition language for creating database objects and data manipulation language for inserting, updating, deleting, and retrieving data from tables.
Lec 1 = introduction to structured query language (sql)Faisal Anwar
This document provides an introduction to structured query language (SQL). It outlines the basic commands and functions of SQL for data administration and manipulation. SQL functions are divided into two categories: data definition language for creating database objects and tables, and data manipulation language for inserting, updating, deleting, and retrieving data. The document also covers topics such as data types, constraints, indexes, joins, and aggregate functions.
This document provides an introduction to structured query language (SQL). It outlines the basic commands and functions of SQL for data administration and manipulation. These include using SQL to create tables, indexes and views; and to add, modify, delete and retrieve data. The document also discusses SQL queries, constraints, indexes, joins and aggregate functions to extract useful information from databases.
This chapter discusses how to connect to and manipulate SQL Server databases from ASP.NET applications. It covers using classes in the System.Data.SqlClient namespace to connect to databases and execute SQL commands. Methods like ExecuteReader, ExecuteNonQuery and SqlDataReader are used to retrieve and modify data. The chapter also describes how to create, update and delete databases and tables by executing SQL statements with ASP.NET code.
This document provides an overview of advanced SQL and PL/SQL topics like stored program units, procedures, functions, packages, and triggers in Oracle 10g. It discusses how to create and use these program units, including their syntax, parameters, calling conventions, and debugging. Database triggers can be used to automatically execute code in response to data changes and maintain integrity. Packages allow for code reuse and organization through public and private program units and variables.
This document provides an overview of how to use SQL in Microsoft Access 2013. It covers how to create and modify SQL queries, including how to include fields, use criteria, computed fields, functions, sorting, grouping, joins, subqueries, and data manipulation commands. The chapter aims to help users understand the SQL language and how to incorporate various SQL elements and functions into queries.
This document provides guidance on optimizing database performance through techniques like indexing, query tuning, avoiding unnecessary operations, and following best practices for objects like stored procedures, triggers, views and transactions. It emphasizes strategies like indexing frequently accessed columns, avoiding correlated subqueries and unnecessary joins, tuning queries to select only required columns, and keeping transactions and locks as short as possible.
With the introduction of SQL Server 2012 data developers have new ways to interact with their databases. This session will review the powerful new analytic windows functions, new ways to generate numeric sequences and new ways to page the results of our queries. Other features that will be discussed are improvements in error handling and new parsing and concatenating features.
Watch the full webinar at: http://embt.co/1pb4Zb4
This presentation is a must-see for anyone interested in Oracle 12! Dan is an Oracle ACE Director and has assembled this presentation with fresh and inside information from Oracle Corp and OOW13. Dan has pulled his top Oracle 12 features from the plethora of new features available and documented in his user group presentations "Oracle 12c New Features for Developers" and "Oracle 12c New Features for DBA's".
Top 10 features will include:
New SQL Syntax
New SQL and PL/SQL Limits
Pluggable Database
New Packages
Deprecated Features
New SQL Tuning Features
This presentation covers new SQL & PL/SQL syntax and options, the container DB of course, new SQL optimizer features, deprecated features, hints, and more. If you're supporting applications, then you won't want to miss this webinar!
Exciting Features for SQL Devs in SQL 2012Brij Mishra
SQL 2012 includes several new features for SQL developers including contained databases, columnstore indexes, sequence objects, data paging improvements, and new analytic functions like LEAD() and LAG(). It also enhances Transact-SQL with new conversion, date/time and logical functions and improves metadata discovery and error handling. Visual Studio integration is also improved with tighter management studio integration.
This document discusses various database objects in Oracle including sequences, indexes, and synonyms. Sequences are used to automatically generate unique primary key values. Indexes improve query performance by indexing columns frequently used in WHERE clauses. Synonyms provide alternative names for objects to simplify access. The document provides examples for creating, modifying, and dropping these objects as well as viewing metadata about them.
After completing this lesson, you should be able to do the following:
Describe some database objects and their uses
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
Er is een stelling: 'If you can do it in SQL, use SQL.' Maar soms is zelfs de zeer krachtige Oracle versie van SQL niet genoeg en heb je behoefte aan méér, zoals loops, condities etc.
Oracle biedt sinds Oracle 9i de mogelijkheid om PL/SQL-code te bouwen en op te nemen in de FROM clause van je query. Hoe? Door de output van een PL/SQL functie zo te formatteren dat die op een tabel lijkt, dus met records van waarden (rijen met kolommen). Hiermee heb je alle kracht van PL/SQL én SQL tot je beschikking in je SQL-statement.
Deze aanpak biedt nóg een voordeel: de code in de PL/SQL-functie wordt slechts éénmaal uitgevoerd, en niet voor elke rij (functie in de WHERE-clause) of voor elke rij in het resultaat (functie in de SELECT).
If you can do it in SQL, use SQL
This document discusses several database objects in Oracle: sequences, indexes, and synonyms. Sequences are used to automatically generate unique primary key values. Indexes improve query performance by indexing columns. Synonyms provide alternative names for objects to simplify access. The document provides examples of creating, modifying, confirming, and removing these database objects through SQL statements.
MySQL is an open-source relational database management system that runs a server providing multi-user access to databases. It is commonly used with web applications and is popular for its use with PHP. Many large websites use MySQL to store user data. MySQL supports basic queries like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports more advanced functions and queries.
This document provides an overview of tools for PL/SQL development like Oracle SQL Developer and SQL*Plus. It also summarizes key SQL concepts including data definition, manipulation, retrieval, and security commands. Basic SQL elements such as constants, operators, conditions, data types, comments, and variables are also defined.
MySQL is an open-source relational database management system that runs on a server and allows for multi-user access to databases. It is commonly used with web applications and by popular websites. MySQL uses commands like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports stored procedures and functions to organize more complex queries and calculations.
Design and develop with performance in mind
Establish a tuning environment
Index wisely
Reduce parsing
Take advantage of Cost Based Optimizer
Avoid accidental table scans
Optimize necessary table scans
Optimize joins
Use array processing
Consider PL/SQL for “tricky” SQL
This document provides an overview of managing schema objects in Oracle databases. It defines schema objects and data types, and describes how to create and modify tables, define constraints, create indexes, create views, use sequences, work with temporary tables, and utilize the data dictionary. The objectives are to understand and work with these various schema objects through SQL commands.
Antes de migrar de 10g a 11g o 12c, tome en cuenta las siguientes consideraciones. No es tan sencillo como simplemente cambiar de motor de base de datos, se necesita hacer consideraciones a nivel del aplicativo.
This document provides an overview of SQL tuning and optimization techniques. It discusses various indexing options in Oracle like bitmap indexes and reverse key indexes. It also covers execution plan analysis using tools like EXPLAIN PLAN and tuning techniques like hints. The goal of SQL tuning is to identify resource-intensive queries and optimize them using better indexing, rewriting queries, and other optimization strategies.
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.
After completing this lesson, you should be able to
do the following:
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
http://phpexecutor.com
This document provides an introduction to a course on Transact-SQL (T-SQL) taught by Graeme Malcolm from Microsoft and Geoff Allix from Content Master. The course covers topics such as querying tables, joins, functions, and error handling. It will use online video, labs, and the AdventureWorksLT sample database hosted on Azure SQL Database. The document outlines the course instructors, topics, expectations, lab environment, and resources for further learning SQL Server and certification.
This document discusses techniques for improving SQL query performance by avoiding function calls in SQL queries and leveraging caching mechanisms. It covers scalar subquery caching, which caches the results of functions used in scalar subqueries to avoid repeated execution. Deterministic functions are also discussed, which Oracle can optimize by caching results. The document then introduces the cross-session PL/SQL function result cache and SQL result cache available in Oracle 11g, which cache and reuse function results and full query results across sessions to improve response times for repetitive queries and functions.
This document provides an overview of SQL and PL/SQL concepts including data definition language (DDL), data manipulation language (DML), data control language (DCL), and transaction control language (TCL). It discusses SQL commands to create, modify and delete database objects as well as manipulate data. It also covers PL/SQL concepts such as stored procedures, functions, cursors and triggers. Indexes and their use in improving query performance are also summarized.
This document provides an introduction to using Mule, an open-source enterprise service bus (ESB). It discusses Mule's core concepts like the universal message object, endpoints, transports, connectors, routers, filters and transformers. It provides examples of using Mule to move files between directories and validate XML files against a schema. The document is intended to explain Mule's declarative approach and how data flows through various stages of receiving, routing, transforming and dispatching events.
This chapter introduces client/server databases and Oracle 10g. It describes how client/server databases store data centrally and eliminate data redundancy. The chapter explains the components of a database including tables, records, fields and relationships. It also covers database keys such as primary keys, foreign keys, and composite keys. Finally, it discusses how client/server databases like Oracle 10g work using a server to manage the database and clients to interface with it.
This document provides guidance on optimizing database performance through techniques like indexing, query tuning, avoiding unnecessary operations, and following best practices for objects like stored procedures, triggers, views and transactions. It emphasizes strategies like indexing frequently accessed columns, avoiding correlated subqueries and unnecessary joins, tuning queries to select only required columns, and keeping transactions and locks as short as possible.
With the introduction of SQL Server 2012 data developers have new ways to interact with their databases. This session will review the powerful new analytic windows functions, new ways to generate numeric sequences and new ways to page the results of our queries. Other features that will be discussed are improvements in error handling and new parsing and concatenating features.
Watch the full webinar at: http://embt.co/1pb4Zb4
This presentation is a must-see for anyone interested in Oracle 12! Dan is an Oracle ACE Director and has assembled this presentation with fresh and inside information from Oracle Corp and OOW13. Dan has pulled his top Oracle 12 features from the plethora of new features available and documented in his user group presentations "Oracle 12c New Features for Developers" and "Oracle 12c New Features for DBA's".
Top 10 features will include:
New SQL Syntax
New SQL and PL/SQL Limits
Pluggable Database
New Packages
Deprecated Features
New SQL Tuning Features
This presentation covers new SQL & PL/SQL syntax and options, the container DB of course, new SQL optimizer features, deprecated features, hints, and more. If you're supporting applications, then you won't want to miss this webinar!
Exciting Features for SQL Devs in SQL 2012Brij Mishra
SQL 2012 includes several new features for SQL developers including contained databases, columnstore indexes, sequence objects, data paging improvements, and new analytic functions like LEAD() and LAG(). It also enhances Transact-SQL with new conversion, date/time and logical functions and improves metadata discovery and error handling. Visual Studio integration is also improved with tighter management studio integration.
This document discusses various database objects in Oracle including sequences, indexes, and synonyms. Sequences are used to automatically generate unique primary key values. Indexes improve query performance by indexing columns frequently used in WHERE clauses. Synonyms provide alternative names for objects to simplify access. The document provides examples for creating, modifying, and dropping these objects as well as viewing metadata about them.
After completing this lesson, you should be able to do the following:
Describe some database objects and their uses
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
Er is een stelling: 'If you can do it in SQL, use SQL.' Maar soms is zelfs de zeer krachtige Oracle versie van SQL niet genoeg en heb je behoefte aan méér, zoals loops, condities etc.
Oracle biedt sinds Oracle 9i de mogelijkheid om PL/SQL-code te bouwen en op te nemen in de FROM clause van je query. Hoe? Door de output van een PL/SQL functie zo te formatteren dat die op een tabel lijkt, dus met records van waarden (rijen met kolommen). Hiermee heb je alle kracht van PL/SQL én SQL tot je beschikking in je SQL-statement.
Deze aanpak biedt nóg een voordeel: de code in de PL/SQL-functie wordt slechts éénmaal uitgevoerd, en niet voor elke rij (functie in de WHERE-clause) of voor elke rij in het resultaat (functie in de SELECT).
If you can do it in SQL, use SQL
This document discusses several database objects in Oracle: sequences, indexes, and synonyms. Sequences are used to automatically generate unique primary key values. Indexes improve query performance by indexing columns. Synonyms provide alternative names for objects to simplify access. The document provides examples of creating, modifying, confirming, and removing these database objects through SQL statements.
MySQL is an open-source relational database management system that runs a server providing multi-user access to databases. It is commonly used with web applications and is popular for its use with PHP. Many large websites use MySQL to store user data. MySQL supports basic queries like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports more advanced functions and queries.
This document provides an overview of tools for PL/SQL development like Oracle SQL Developer and SQL*Plus. It also summarizes key SQL concepts including data definition, manipulation, retrieval, and security commands. Basic SQL elements such as constants, operators, conditions, data types, comments, and variables are also defined.
MySQL is an open-source relational database management system that runs on a server and allows for multi-user access to databases. It is commonly used with web applications and by popular websites. MySQL uses commands like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports stored procedures and functions to organize more complex queries and calculations.
Design and develop with performance in mind
Establish a tuning environment
Index wisely
Reduce parsing
Take advantage of Cost Based Optimizer
Avoid accidental table scans
Optimize necessary table scans
Optimize joins
Use array processing
Consider PL/SQL for “tricky” SQL
This document provides an overview of managing schema objects in Oracle databases. It defines schema objects and data types, and describes how to create and modify tables, define constraints, create indexes, create views, use sequences, work with temporary tables, and utilize the data dictionary. The objectives are to understand and work with these various schema objects through SQL commands.
Antes de migrar de 10g a 11g o 12c, tome en cuenta las siguientes consideraciones. No es tan sencillo como simplemente cambiar de motor de base de datos, se necesita hacer consideraciones a nivel del aplicativo.
This document provides an overview of SQL tuning and optimization techniques. It discusses various indexing options in Oracle like bitmap indexes and reverse key indexes. It also covers execution plan analysis using tools like EXPLAIN PLAN and tuning techniques like hints. The goal of SQL tuning is to identify resource-intensive queries and optimize them using better indexing, rewriting queries, and other optimization strategies.
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.
After completing this lesson, you should be able to
do the following:
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
http://phpexecutor.com
This document provides an introduction to a course on Transact-SQL (T-SQL) taught by Graeme Malcolm from Microsoft and Geoff Allix from Content Master. The course covers topics such as querying tables, joins, functions, and error handling. It will use online video, labs, and the AdventureWorksLT sample database hosted on Azure SQL Database. The document outlines the course instructors, topics, expectations, lab environment, and resources for further learning SQL Server and certification.
This document discusses techniques for improving SQL query performance by avoiding function calls in SQL queries and leveraging caching mechanisms. It covers scalar subquery caching, which caches the results of functions used in scalar subqueries to avoid repeated execution. Deterministic functions are also discussed, which Oracle can optimize by caching results. The document then introduces the cross-session PL/SQL function result cache and SQL result cache available in Oracle 11g, which cache and reuse function results and full query results across sessions to improve response times for repetitive queries and functions.
This document provides an overview of SQL and PL/SQL concepts including data definition language (DDL), data manipulation language (DML), data control language (DCL), and transaction control language (TCL). It discusses SQL commands to create, modify and delete database objects as well as manipulate data. It also covers PL/SQL concepts such as stored procedures, functions, cursors and triggers. Indexes and their use in improving query performance are also summarized.
This document provides an introduction to using Mule, an open-source enterprise service bus (ESB). It discusses Mule's core concepts like the universal message object, endpoints, transports, connectors, routers, filters and transformers. It provides examples of using Mule to move files between directories and validate XML files against a schema. The document is intended to explain Mule's declarative approach and how data flows through various stages of receiving, routing, transforming and dispatching events.
This chapter introduces client/server databases and Oracle 10g. It describes how client/server databases store data centrally and eliminate data redundancy. The chapter explains the components of a database including tables, records, fields and relationships. It also covers database keys such as primary keys, foreign keys, and composite keys. Finally, it discusses how client/server databases like Oracle 10g work using a server to manage the database and clients to interface with it.
This document provides an overview of using integrations in Oracle Integration. It discusses key concepts like connections, mappings, enrichments, lookups, and packages. It also covers monitoring integrations at runtime, managing errors, and purging data from the database. The document is copyrighted by Oracle and contains standard legal notices about the software license and intellectual property.
The document outlines new features in Oracle Application Express (APEX) 4.1, including improved error handling, use of ROWID for automatic DML processing, a data upload feature, calendar enhancements, validation and processing for tabular forms, and plug-in and accessibility enhancements. It also discusses potential future releases, such as enhanced mobile support, RESTful web services, modal dialogs, and multiple interactive reports on a single page.
This document discusses Microsoft interoperability and support with Oracle Fusion Middleware. It covers areas like Windows platform support, .NET interoperability, Office interoperability, and portal interoperability. It provides details on supporting Windows platforms, integrating with Active Directory, consuming and exposing .NET web services, integrating with Microsoft Office, and including Microsoft content in Oracle Portal and vice versa. The document also discusses ongoing efforts around deeper interoperability with technologies like Windows Communication Foundation, Web Services, and identity management.
This presentation provides an overview of Oracle Developer Tools for Visual Studio .NET and Oracle Database Extensions for .NET. It demonstrates how to create and debug .NET stored procedures within Oracle Database using Visual Studio .NET. The presentation is intended for informational purposes only and cannot be incorporated into any contract. It should not be relied upon for making purchasing decisions. Oracle has sole discretion over features and functionality.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
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Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
1. Chapter 3:
Using SQL Queries to Insert,
Update, Delete, and View Data
Guide to Oracle 10g
2. Guide to Oracle 10g 2
Lesson A Objectives
After completing this lesson, you should be able to:
• Run a script to create database tables
automatically
• Insert data into database tables
• Create database transactions and commit data to
the database
• Create search conditions in SQL queries
• Update and delete database records and truncate
tables
3. Guide to Oracle 10g 3
Lesson A Objectives (continued)
• Create and use sequences to generate surrogate
key values automatically
• Grant and revoke database object privileges
4. Guide to Oracle 10g 4
Using Scripts to Create Database
Tables
• Script
– Text file that contains one or more SQL commands
• Run a script
– Type start at SQL prompt
– Blank space
– Full path and filename of script file
5. Guide to Oracle 10g 5
Using the INSERT Command
• Basic syntax for inserting into every column:
INSERT into tablename
VALUES (column1_value,
column2_value, … );
• Basic syntax for inserting into selected columns
INSERT into tablename (columnname1,
columnname2, … );
VALUES (column1_value,
column2_value, … );
6. Guide to Oracle 10g 6
Using the INSERT Command
(continued)
• Ensure all foreign keys that new row references
have already been added to database
7. Guide to Oracle 10g 7
Format Models
• Also called format mask
• Used to specify different output format from
default
• For NUMBER data types
– 9 represents digit
• For DATE/TIMESTAMP data types
– Choose formats for year day, date, etc.
8. Guide to Oracle 10g 8
Inserting Date and Interval Values
• Inserting values into DATE columns
– Use TO_DATE function to convert string to DATE
– Syntax
•TO_DATE('date_string',
'date_format_model')
• Inserting values into INTERVAL columns
– Syntax
•TO_YMINTERVAL('years-months')
•TO_DSINTERVAL('days HH:MI:SS.99')
9. Guide to Oracle 10g 9
Inserting LOB Column Locators
• Oracle stores LOB data in separate physical
location from other types of data
• LOB locator
– Structure containing information that identifies
LOB data type
– Points to alternate memory location
• Create blob locator
– EMPTY_BLOB()
10. Guide to Oracle 10g 10
Creating Transactions and
Committing New Data
• Transaction
– Represents logical unit of work
– All of action queries must succeed or no
transactions can succeed
• Commit
– Save changes in transaction
• Rollback
– Discard changes in transaction
11. Guide to Oracle 10g 11
Creating Transactions and
Committing New Data (continued)
• Purpose of transaction processing
– Enable users to see consistent view of database
• New transaction begins when SQL*Plus started
and command executed
• Transaction ends when current transaction
committed
• COMMIT command commits transaction
• ROLLBACK command restores database to point
before last commit
12. Guide to Oracle 10g 12
Creating Search Conditions in SQL
Queries
• Search condition
– Expression that seeks to match specific table rows
• Syntax
– WHERE columnname
comparison_operator
search_expression
• Comparison operators include:
– Equality and inequality operators
– Set operators
13. Guide to Oracle 10g 13
Defining Search Expressions
• NUMBER example
– WHERE f_id = 1
• Character data example
– WHERE s_class = 'SR'
• DATE example
– WHERE s_dob =
TO_DATE('01/01/1980',
‘MM/DD/YYYY')
14. Guide to Oracle 10g 14
Creating Complex Search Conditions
• Complex search condition
– Combines multiple search conditions using logical
operators
• AND logical operator
– True if both conditions true
• OR logical operator
– True if one condition true
• NOT logical operator
– Matches opposite of search condition
15. Guide to Oracle 10g 15
Updating Table Rows
• UPDATE action query syntax
UPDATE tablename
SET column1 = new_value1, column2 =
new_value2, …
WHERE search condition;
16. Guide to Oracle 10g 16
Deleting Table Rows
• SQL DELETE action query
– Remove specific rows
• Truncate table
– Remove all rows
• DELETE query syntax
DELETE FROM tablename
WHERE search condition;
17. Guide to Oracle 10g 17
Deleting Table Rows (continued)
• Child row
– Row’s value is foreign key
– Cannot delete row if it has child row
• Unless first delete row in which foreign key value
exists
• TRUNCATE syntax
– TRUNCATE TABLE tablename;
• Cannot truncate table with foreign key constraints
– Must disable constraints first
18. Guide to Oracle 10g 18
Creating New Sequences
• CREATE SEQUENCE command
– DDL command
– No need to issue COMMIT command
19. Guide to Oracle 10g 19
General Syntax Used to Create a New
Sequence
20. Guide to Oracle 10g 20
Viewing Sequence Information
• Query USER_SEQUENCES data dictionary view
– sequence_name column displays sequence names
21. Guide to Oracle 10g 21
Using Sequences
• Pseudocolumn
– Acts like column in database table
– Actually command that returns specific value
• CURRVAL
– Returns most recent sequence value retrieved
• NEXTVAL
– Next available sequence value
– sequence_name.NEXTVAL
22. Guide to Oracle 10g 22
Using Sequences (continued)
• DUAL
– Simple table in system user schema
– More efficient to retrieve pseudocolumns from
DUAL
SELECT sequence_name.NEXTVAL
FROM DUAL;
• DBMS uses user sessions
– To ensure that all sequence users receive unique
sequence numbers
24. Guide to Oracle 10g 24
Granting Object Privileges
• SQL GRANT command
– Syntax
GRANT privilege1, privilege2, …
ON object_name
TO user1, user2, …;
25. Guide to Oracle 10g 25
Revoking Table Privileges
• REVOKE command
– Syntax
REVOKE privilege1, privilege2, …
ON object_name
FROM user1, user2, …;
26. Guide to Oracle 10g 26
Lesson B Objectives
After completing this lesson, you should be able to:
• Write SQL queries to retrieve data from a single
database table
• Create SQL queries that perform calculations on
retrieved data
• Use SQL group functions to summarize retrieved
data
27. Guide to Oracle 10g 27
Retrieving Data From a Single
Database Table
• Syntax
SELECT columnname1, columnname2, …
FROM ownername.tablename
[WHERE search_condition];
• Retrieve all of columns
– Use asterisk ( * ) as wildcard character in SELECT
clause
– SELECT * from …
28. Guide to Oracle 10g 28
Suppressing Duplicate Rows
• SQL DISTINCT qualifier
– Examines query output before it appears on screen
– Suppresses duplicate values
• Syntax
– SELECT DISTINCT columnname;
29. Guide to Oracle 10g 29
Using Search Conditions in SELECT
Queries
• Use search conditions to retrieve rows matching
specific criteria
– Exact search conditions
• Use equality operator
– Inexact search conditions
• Use inequality operators
• Search for NULL or NOT NULL values
– WHERE columnname IS NULL
– WHERE columnname IS NOT NULL
30. Guide to Oracle 10g 30
Using Search Conditions in SELECT
Queries (continued)
• IN comparison operator
– Match data values that are members of a set of
search values
• LIKE operator
– Use to match part of character string
– Syntax
•WHERE columnname LIKE 'string'
• Character string should contain wildcard character
%, or _, or both
31. Guide to Oracle 10g 31
Sorting Query Output
• ORDER BY clause
– Sort query output
– Syntax for select with ordered results
SELECT columnname1, columnname2, …
FROM ownername.tablename
WHERE search_condition
ORDER BY sort_key_column;
– Sort can be ascending or descending
– Can specify multiple sort keys
32. Guide to Oracle 10g 32
Using Calculations in SQL Queries
• Perform many calculations directly within SQL
queries
– Very efficient way to perform calculations
• Create SQL queries
– Perform basic arithmetic calculations
– Use variety of built-in functions
33. Guide to Oracle 10g 33
Performing Arithmetic Calculations
• Perform arithmetic calculations on columns that
have data types
– NUMBER
– DATE
– INTERVAL
• SYSDATE pseudocolumn
– Retrieves current system date
• Use + and – to calculate differences between dates
34. Guide to Oracle 10g 34
Oracle 10g SQL Functions
• Built-in functions perform calculations and
manipulate retrieved data values
• Called single-row functions
– Return single result for each row of data retrieved
• To use:
– List function name in SELECT clause followed by
required parameter in parentheses
35. Guide to Oracle 10g 35
Oracle 10g SQL Group Functions
• Group function
– Performs operation on group of queried rows
– Returns single result such as column sum
• To use:
– List function name followed by column name in
parentheses
36. Guide to Oracle 10g 36
Using the COUNT Group Function
• COUNT group function
– Returns integer representing number of rows that
query returns
• COUNT(*) version
– Calculates total number of rows in table that satisfy
given search condition
– Includes NULL values.
• The COUNT(columnname) version
– Does not include NULL values
37. Guide to Oracle 10g 37
Using the GROUP BY Clause to
Group Data
• GROUP BY clause
– Group output by column with duplicate values
– Apply group functions to grouped data
• Syntax
– GROUP BY group_columnname;
– Follows FROM clause
• All columns listed in SELECT clause must be
included in GROUP BY clause
38. Guide to Oracle 10g 38
Using the HAVING Clause to Filter
Grouped Data
• HAVING clause
– Place search condition on results of queries that
display group function calculations
• Syntax
– HAVING group_function
comparison_operator value
• Example
– HAVING sum(capacity) >= 100
39. Guide to Oracle 10g 39
Creating Alternate Column Headings
• Column headings for retrieved columns are names
of database table columns
• Specify alternate output heading text
SELECT columnname1 "heading1_text
",
columnname2 "heading2_text", …
40. Guide to Oracle 10g 40
Creating Alternate Column Headings
(continued)
• Alias
– Alternate name for query column
– Syntax
•SELECT columnname1 AS alias_name1…
41. Guide to Oracle 10g 41
Modifying the SQL*Plus Display
Environment
• SQL*Plus page consists of:
– Specific number of characters per line
– Specific number of lines per page
• linesize property
– Specifies how many characters appear on line
• pagesize property
– Specifies how many lines appear on page
• Modify using environment dialog box
42. Guide to Oracle 10g 42
Formatting Data Using Format
Models
• TO_CHAR function
– Convert column to character string
– Apply desired format model to value
– Syntax
•TO_CHAR(column_name,
'format_model')
– Use for data types
• DATE
• INTERVAL
• NUMBER
43. Guide to Oracle 10g 43
Lesson C Objectives
After completing this lesson, you should be able to:
• Create SQL queries that join multiple tables
• Create nested SQL queries
• Combine query results using set operators
• Create and use database views
44. Guide to Oracle 10g 44
Joining Multiple Tables
• Join
– Combine data from multiple database tables using
foreign key references
• Syntax
SELECT column1, column2, …
FROM table1, table2
WHERE table1.joincolumn =
table2.joincolumn
AND search_condition(s);
45. Guide to Oracle 10g 45
Joining Multiple Tables (continued)
• Must qualify column name in SELECT clause
– Specify name of table that contains column
followed by period then column name
• Join condition
– Specifies table names to be joined and column
names on which to join tables
• SQL supports multiple types of join queries
46. Guide to Oracle 10g 46
Inner Joins
• Simplest type of join
• VALUES in one table equal to values in other
table
• Also called:
– Equality join
– Equijoin
– Natural join
• Query design diagram
47. Guide to Oracle 10g 47
Deriving a SQL Query From a Query
Design Diagram
48. Guide to Oracle 10g 48
Outer Joins
• Returns all rows from one table
– Called inner table
• And matching rows from second table
– Called outer table
• Syntax
– inner_table.join_column =
outer_table.join_column(+)
49. Guide to Oracle 10g 49
Self-joins
• Query that joins table to itself
• Must create table alias
– Alternate name assigned to table in query’s FROM
clause
– Syntax
•FROM table1 alias1, …
50. Guide to Oracle 10g 50
Creating Nested Queries
• Nested query
– Consists of main query and one or more subqueries
– Main query
• First query that appears in SELECT command
– Subquery
• Retrieves values that main query’s search condition
must match
51. Guide to Oracle 10g 51
Creating Nested Queries with
Subqueries that Return a Single Value
52. Guide to Oracle 10g 52
Using Multiple Subqueries Within a
Nested Query
• Use AND and OR operators
– To join search conditions associated with
subqueries
53. Guide to Oracle 10g 53
Creating Nested Subqueries
• Nested subquery
– Subquery that contains second subquery that
specifies its search expression
54. Guide to Oracle 10g 54
UNION and UNION ALL
• UNION set operator
– Joins output of two unrelated queries into single
output result
– Syntax
•query1 UNION query2;
• UNION ALL operator
– Same as UNION but includes duplicate rows
55. Guide to Oracle 10g 55
INTERSECT
• Finds intersection in two queries
• Requires that both queries have same number of
display columns in SELECT statement
• Automatically suppresses duplicate rows
56. Guide to Oracle 10g 56
MINUS
• To find difference between two unrelated query
result list
57. Guide to Oracle 10g 57
Creating and Using Database Views
• Source query
– Used to create view
– Specify subset of single table’s columns or rows or
join multiple tables
• Updatable views
– Can be used to update database
58. Guide to Oracle 10g 58
Creating Views
• Syntax
CREATE VIEW view_name
AS source_query;
– Or
CREATE OR REPLACE VIEW view_name
AS source_query;
59. Guide to Oracle 10g 59
Executing Action Queries Using Views
• Use view to execute action queries that:
– Insert
– Update
– Delete data in underlying source tables
• Can also execute update action queries and delete
action queries using view
– Just as with database table
60. Guide to Oracle 10g 60
Retrieving Rows from Views
• Query view using SELECT statement
61. Guide to Oracle 10g 61
Removing Views
• DROP VIEW command
– Remove view from user schema
– Syntax
•DROP VIEW view_name;
62. Guide to Oracle 10g 62
Summary
• INSERT action query
• SQL search condition
– Match one or more database rows
• UPDATE action query
• DELETE command
• SELECT query
– DISTINCT qualifier
• Single row and group functions
63. Guide to Oracle 10g 63
Summary (continued)
• Can change appearance of SQL*Plus environment
• Join multiple tables in SELECT query
– Inner join
– Outer join
• Nested queries
• Set operators
• Views