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
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 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 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 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 set operators in SQL queries. It describes the UNION, UNION ALL, INTERSECT, and MINUS operators. Examples are provided to demonstrate how to combine multiple queries into a single query using these set operators and control the order of rows returned. The goal is to teach how to use set operators to combine data from different tables or queries.
Constructing the IMPL Flowsheet Using Dia with Python (IMPL-FlowsheetDiaPy)Alkis Vazacopoulos
Presented in this document is a short description on how to construct a flowsheet or superstructure using the open-source Dia as the drawing tool (similar to Microsoft Visio) and the open-source Python as the programming language to write out the construction data of the flowsheet into a UPS file.
The benefit of using a drawing package such as Dia is that it is a graphical or visual representation of the construction and connectivity data of the industrial optimization problem (IOP) with respect to its flow network, graph or diagram i.e., nodes and directed arcs. The alternative is to configure or populate the structures, shapes or objects in a spreadsheet or data file which can be problematic and difficult to interpret i.e., “a picture is worth a thousand words”.
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.
This document discusses using subqueries to solve database queries. It defines subqueries, describes the types of problems they can solve, and covers single-row and multiple-row subqueries. It explains how to write subqueries using operators like >, =, IN, ANY, and ALL and discusses guidelines, types, and examples of subqueries.
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 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 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 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 set operators in SQL queries. It describes the UNION, UNION ALL, INTERSECT, and MINUS operators. Examples are provided to demonstrate how to combine multiple queries into a single query using these set operators and control the order of rows returned. The goal is to teach how to use set operators to combine data from different tables or queries.
Constructing the IMPL Flowsheet Using Dia with Python (IMPL-FlowsheetDiaPy)Alkis Vazacopoulos
Presented in this document is a short description on how to construct a flowsheet or superstructure using the open-source Dia as the drawing tool (similar to Microsoft Visio) and the open-source Python as the programming language to write out the construction data of the flowsheet into a UPS file.
The benefit of using a drawing package such as Dia is that it is a graphical or visual representation of the construction and connectivity data of the industrial optimization problem (IOP) with respect to its flow network, graph or diagram i.e., nodes and directed arcs. The alternative is to configure or populate the structures, shapes or objects in a spreadsheet or data file which can be problematic and difficult to interpret i.e., “a picture is worth a thousand words”.
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.
This document discusses using subqueries to solve database queries. It defines subqueries, describes the types of problems they can solve, and covers single-row and multiple-row subqueries. It explains how to write subqueries using operators like >, =, IN, ANY, and ALL and discusses guidelines, types, and examples of subqueries.
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 discusses restricting and sorting data in Oracle. It covers limiting rows using the WHERE clause, sorting rows using the ORDER BY clause, and using ampersand substitution in iSQL*Plus to restrict and sort output at runtime. Comparison operators, logical operators, NULL conditions, character strings, dates and BETWEEN/IN/LIKE conditions for the WHERE clause are explained. Best practices for ORDER BY are also provided.
SQLAlchemy is a Python SQL toolkit and object relational mapper that provides a full-featured SQL expression language while also allowing direct SQL execution. It features a core component that handles engine, connection, dialect, metadata, table, and column objects to work with databases, along with an ORM that builds on the core to allow mapping classes to tables with relationships and querying. SQLAlchemy supports all major databases including PostgreSQL, MySQL, MSSQL, SQLite, Sybase, Drizzle, Firebird, and Oracle.
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.
Bassem Hussein Abd El-hammed Talaat has over 10 years of experience in IT and supply chain roles. He currently works as a Senior Oracle Business Supply Chain Consultant for Cairo Poultry Group, where his responsibilities include designing systems, troubleshooting issues, and supporting users. Previously he held roles as a Senior M-Tech System Analyst, Stock Controller, Engineer Help Desk, and Sales Manager. He has skills in Oracle, SQL Server, PL/SQL, and technologies like Oracle ADF, JDeveloper, and ASP.NET. He seeks to further his career in the IT and supply chain fields through professional growth opportunities.
The document discusses Oracle Fusion HCM data import capabilities. It describes the file-based loader and spreadsheet loader. The file-based loader can import large data volumes and object histories, while the spreadsheet loader is best for smaller datasets and initial setup. Both support importing employee and organizational data. Future enhancements may include flexfield configuration in spreadsheets and consolidating the import/load process.
The document discusses implementing a user hook in Oracle Absence Management to prevent employees from overbooking leaves. It describes how the business wants to avoid overbooking but the standard application allows it. The solution was to [1] create a custom package that checks leave balances during booking and displays an error message if exceeded, [2] register a user hook to call this package, and [3] add a profile option to control when the check is enforced. This provides flexibility to allow overbooking from the core form but not self-service.
This document discusses Oracle Fusion Human Capital Management and how to manage enterprise HCM information. It describes Oracle's employment models including the three-tier and two-tier models. It also outlines how to generate worker numbers, person numbers, assignment numbers and handle employee name languages.
The document discusses concepts related to jobs and positions in Oracle Fusion Human Capital Management. It defines jobs as sets of roles or duties that workers perform, while positions are specific instances of jobs within a department. It recommends using either jobs or positions depending on the industry, and provides examples. The document also outlines how to define job and position details, including codes, descriptions, evaluations, and associated profiles.
JD Edwards & Peoplesoft 1 _ Peter Bruce _ Include Work Centre error messages ...InSync2011
The document provides information about the University of Wollongong (UOW), including its mission to enrich communities through original connections in research, teaching, innovation and development. UOW consistently ranks highly in university rankings, including being in the top 2% of universities worldwide according to the Shanghai Jiao Tong Academic Ranking of World Universities for four consecutive years. The document also outlines UOW's history with JDE/Oracle applications and provides an overview of an upcoming presentation on including Work Centre error messages in logs when importing transactions via "Z" tables.
This document discusses different types of joins that can be used to combine data from multiple database tables. It covers equijoins, non-equijoins, outer joins, self-joins, natural joins, and cross joins. It provides examples of SQL queries using joins and explains how to avoid Cartesian products.
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.
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.
The document discusses various SQL functions like NVL, NVL2 and subqueries. It provides examples of using these functions and subqueries to return employee data based on conditions. It also discusses creating a user defined function to check if an employee's salary is greater than the average salary in their department. The function is modified to accept an employee ID as a parameter rather than being hardcoded.
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.
This document discusses how to write SQL statements to access data from multiple database tables. It covers different types of joins, including equijoins, non-equijoins, outer joins, self-joins and cross joins. It provides examples of joining two tables using the NATURAL JOIN, USING, and ON clauses. It also discusses how to qualify column names, apply additional conditions to joins, and generate Cartesian products between 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.
This document discusses using EXPLAIN to optimize queries in MySQL. It covers traditional, structured, and visualized EXPLAIN outputs. Traditional EXPLAIN can be complex and difficult to understand for complex queries. Structured EXPLAIN (with FORMAT=JSON) and visualized EXPLAIN in tools like MySQL Workbench provide more detailed and easier to understand outputs. The document also provides examples of using EXPLAIN for single table queries, index usage, range optimizations, and index merges.
Restricting and Sorting Data - Oracle Data BaseSalman Memon
This document discusses how to restrict and sort data retrieved by SQL queries. It describes how to limit rows using the WHERE clause with various comparison operators like equal to, greater than, between, in, like, and is null. Logical operators like AND, OR and NOT can be used with WHERE. Rows can be sorted using the ORDER BY clause, specifying columns and expressions to sort on in ascending or descending order. Multiple columns can be used in the ORDER BY to further refine the sorting.
This document discusses restricting and sorting data in SQL queries. It covers:
- Using the WHERE clause to limit the rows returned by a query based on conditions. Comparison operators like =, <, >, BETWEEN, IN, LIKE, IS NULL can be used.
- Using the ORDER BY clause to sort the rows returned by a query in ascending or descending order based on one or more columns.
- Logical operators like AND, OR, and NOT can be used to combine conditions in the WHERE clause.
This document discusses different types of joins in SQL, including inner joins, outer joins, self joins, and cross joins. It provides examples of SQL queries using each type of join to retrieve data from multiple tables based on relationships between columns. The key types of joins covered are equijoins to match column values, non-equijoins to match column ranges, and outer joins to return non-matching rows.
Les04 Displaying Data from Multiple Tables.pptDrZeeshanBhatti
This lesson covers how to obtain data from more than one table.
Sometimes you need to use data from more than one table. In the slide example, the report displays data from two separate tables.
Employee IDs exist in the EMPLOYEES table.
Department IDs exist in both the EMPLOYEES and DEPARTMENTS tables.
Location IDs exist in the DEPARTMENTS table.
To produce the report, you need to link the EMPLOYEES and DEPARTMENTS tables and access data from both of 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 discusses restricting and sorting data in Oracle. It covers limiting rows using the WHERE clause, sorting rows using the ORDER BY clause, and using ampersand substitution in iSQL*Plus to restrict and sort output at runtime. Comparison operators, logical operators, NULL conditions, character strings, dates and BETWEEN/IN/LIKE conditions for the WHERE clause are explained. Best practices for ORDER BY are also provided.
SQLAlchemy is a Python SQL toolkit and object relational mapper that provides a full-featured SQL expression language while also allowing direct SQL execution. It features a core component that handles engine, connection, dialect, metadata, table, and column objects to work with databases, along with an ORM that builds on the core to allow mapping classes to tables with relationships and querying. SQLAlchemy supports all major databases including PostgreSQL, MySQL, MSSQL, SQLite, Sybase, Drizzle, Firebird, and Oracle.
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.
Bassem Hussein Abd El-hammed Talaat has over 10 years of experience in IT and supply chain roles. He currently works as a Senior Oracle Business Supply Chain Consultant for Cairo Poultry Group, where his responsibilities include designing systems, troubleshooting issues, and supporting users. Previously he held roles as a Senior M-Tech System Analyst, Stock Controller, Engineer Help Desk, and Sales Manager. He has skills in Oracle, SQL Server, PL/SQL, and technologies like Oracle ADF, JDeveloper, and ASP.NET. He seeks to further his career in the IT and supply chain fields through professional growth opportunities.
The document discusses Oracle Fusion HCM data import capabilities. It describes the file-based loader and spreadsheet loader. The file-based loader can import large data volumes and object histories, while the spreadsheet loader is best for smaller datasets and initial setup. Both support importing employee and organizational data. Future enhancements may include flexfield configuration in spreadsheets and consolidating the import/load process.
The document discusses implementing a user hook in Oracle Absence Management to prevent employees from overbooking leaves. It describes how the business wants to avoid overbooking but the standard application allows it. The solution was to [1] create a custom package that checks leave balances during booking and displays an error message if exceeded, [2] register a user hook to call this package, and [3] add a profile option to control when the check is enforced. This provides flexibility to allow overbooking from the core form but not self-service.
This document discusses Oracle Fusion Human Capital Management and how to manage enterprise HCM information. It describes Oracle's employment models including the three-tier and two-tier models. It also outlines how to generate worker numbers, person numbers, assignment numbers and handle employee name languages.
The document discusses concepts related to jobs and positions in Oracle Fusion Human Capital Management. It defines jobs as sets of roles or duties that workers perform, while positions are specific instances of jobs within a department. It recommends using either jobs or positions depending on the industry, and provides examples. The document also outlines how to define job and position details, including codes, descriptions, evaluations, and associated profiles.
JD Edwards & Peoplesoft 1 _ Peter Bruce _ Include Work Centre error messages ...InSync2011
The document provides information about the University of Wollongong (UOW), including its mission to enrich communities through original connections in research, teaching, innovation and development. UOW consistently ranks highly in university rankings, including being in the top 2% of universities worldwide according to the Shanghai Jiao Tong Academic Ranking of World Universities for four consecutive years. The document also outlines UOW's history with JDE/Oracle applications and provides an overview of an upcoming presentation on including Work Centre error messages in logs when importing transactions via "Z" tables.
This document discusses different types of joins that can be used to combine data from multiple database tables. It covers equijoins, non-equijoins, outer joins, self-joins, natural joins, and cross joins. It provides examples of SQL queries using joins and explains how to avoid Cartesian products.
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.
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.
The document discusses various SQL functions like NVL, NVL2 and subqueries. It provides examples of using these functions and subqueries to return employee data based on conditions. It also discusses creating a user defined function to check if an employee's salary is greater than the average salary in their department. The function is modified to accept an employee ID as a parameter rather than being hardcoded.
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.
This document discusses how to write SQL statements to access data from multiple database tables. It covers different types of joins, including equijoins, non-equijoins, outer joins, self-joins and cross joins. It provides examples of joining two tables using the NATURAL JOIN, USING, and ON clauses. It also discusses how to qualify column names, apply additional conditions to joins, and generate Cartesian products between 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.
This document discusses using EXPLAIN to optimize queries in MySQL. It covers traditional, structured, and visualized EXPLAIN outputs. Traditional EXPLAIN can be complex and difficult to understand for complex queries. Structured EXPLAIN (with FORMAT=JSON) and visualized EXPLAIN in tools like MySQL Workbench provide more detailed and easier to understand outputs. The document also provides examples of using EXPLAIN for single table queries, index usage, range optimizations, and index merges.
Restricting and Sorting Data - Oracle Data BaseSalman Memon
This document discusses how to restrict and sort data retrieved by SQL queries. It describes how to limit rows using the WHERE clause with various comparison operators like equal to, greater than, between, in, like, and is null. Logical operators like AND, OR and NOT can be used with WHERE. Rows can be sorted using the ORDER BY clause, specifying columns and expressions to sort on in ascending or descending order. Multiple columns can be used in the ORDER BY to further refine the sorting.
This document discusses restricting and sorting data in SQL queries. It covers:
- Using the WHERE clause to limit the rows returned by a query based on conditions. Comparison operators like =, <, >, BETWEEN, IN, LIKE, IS NULL can be used.
- Using the ORDER BY clause to sort the rows returned by a query in ascending or descending order based on one or more columns.
- Logical operators like AND, OR, and NOT can be used to combine conditions in the WHERE clause.
This document discusses different types of joins in SQL, including inner joins, outer joins, self joins, and cross joins. It provides examples of SQL queries using each type of join to retrieve data from multiple tables based on relationships between columns. The key types of joins covered are equijoins to match column values, non-equijoins to match column ranges, and outer joins to return non-matching rows.
Les04 Displaying Data from Multiple Tables.pptDrZeeshanBhatti
This lesson covers how to obtain data from more than one table.
Sometimes you need to use data from more than one table. In the slide example, the report displays data from two separate tables.
Employee IDs exist in the EMPLOYEES table.
Department IDs exist in both the EMPLOYEES and DEPARTMENTS tables.
Location IDs exist in the DEPARTMENTS table.
To produce the report, you need to link the EMPLOYEES and DEPARTMENTS tables and access data from both of them.
This is one of the 15 minute "TED" style talk presented as part of the Database Symposium at the ODTUG Kscope18 conference. In this presentation @SQLMaria shares details on 4 useful supplied PL/SQL package with the Oracle Database
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.
This document summarizes a comparison of indexing between Oracle and SQL Server databases. It describes how indexes are structured differently in each platform, with Oracle using PCTFREE to control free space in blocks and SQL Server using FILLFACTOR. Tests were conducted inserting and deleting data in each to observe how indexes are impacted. The results showed that Oracle indexes were less affected by fragmentation while SQL Server indexes experienced more page splits leading to fragmentation issues. Maintaining indexes also differed, with SQL Server potentially facing more challenges with its clustered index structure.
This document discusses scalar and correlated subqueries in SQL. It defines scalar subqueries as returning a single column from one row, and can be used in certain clauses like SELECT and WHERE. Correlated subqueries are executed once for each row of the outer query and reference columns from the outer query. Examples are given of using scalar and correlated subqueries in SELECT statements. The document also covers using the EXISTS operator and WITH clause with subqueries.
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.
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 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.
In deploying MySQL, scale-out techniques can be used to scale out reads, but for scaling out writes, other techniques have to be used. To distribute writes over a cluster, it is necessary to shard the database and store the shards on separate servers. This session provides a brief introduction to traditional MySQL scale-out techniques in preparation for a discussion on the different sharding techniques that can be used with MySQL server and how they can be implemented with PHP. You will learn about static and dynamic sharding schemes, their advantages and drawbacks, techniques for locating and moving shards, and techniques for resharding.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.