This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 6th Ed." by Silberschatz, Korth and Sudarshan. It discusses the history and standards of SQL, the data definition language for creating tables with attributes and constraints, basic query structure using SELECT, FROM, and WHERE clauses, and examples of joins, renaming, and self joins.
a striped down Version of a presentation about oracle architecture. Goal was a basic understanding and foundation about some components of Oracle, so subsequent discussions should be easier
This document provides an overview of Oracle database history, architecture, components, and terminology. It discusses:
- Oracle's release history from 1978 to present.
- The physical and logical structures that make up an Oracle database, including data files, control files, redo logs, tablespaces, segments, and blocks.
- The Oracle instance and its memory components like the SGA and PGA. It describes the various background processes.
- How clients connect to Oracle using the listener, tnsnames.ora file, and naming resolution.
- Common Oracle tools for accessing and managing databases like SQLPlus, SQL Developer, and views for monitoring databases.
The document provides an introduction to the SQL language. It discusses the three main types of SQL statements: DDL, DML, and DCL. It also covers topics such as data types, constraints, functions, views, and how to create, modify and query tables. SQL is a language used to manage relational database management systems (RDBMS) and allows users to define, manipulate, and control access to data in a RDBMS.
=-=-=-==-=-Overview of the Talk-=-=-=-=-=
Introduction to the Subject
Database
Rational Database
Object Rational Database
Database Management System
History
Programming
SQL,
Connecting Java, Matlab to a Database
Advance DBMS
Data Grid
BigTable
Demo
Products
MySQL, SQLite, Oracle,
DB2, Microsoft Access,
Microsoft SQL Server
Products Comparison.
This document provides a summary of Oracle 9i and related database concepts. It covers relational database management systems (RDBMS) and what they are used for. It also discusses Oracle built-in data types, SQL and its uses, normalization, indexes, functions, grouping data, and other database objects like views and sequences. The document is intended as a presentation on key aspects of working with Oracle 9i databases.
This document provides an overview of SQL (Structured Query Language). It defines SQL as a standard language for accessing and manipulating databases. It describes what SQL can do, such as execute queries, retrieve, insert, update and delete data. It also covers important SQL statements (SELECT, UPDATE, DELETE, INSERT), clauses (WHERE, ORDER BY), operators (LIKE), joins, and functions. In addition, it discusses SQL data types, constraints, creating tables and indexes.
a striped down Version of a presentation about oracle architecture. Goal was a basic understanding and foundation about some components of Oracle, so subsequent discussions should be easier
This document provides an overview of Oracle database history, architecture, components, and terminology. It discusses:
- Oracle's release history from 1978 to present.
- The physical and logical structures that make up an Oracle database, including data files, control files, redo logs, tablespaces, segments, and blocks.
- The Oracle instance and its memory components like the SGA and PGA. It describes the various background processes.
- How clients connect to Oracle using the listener, tnsnames.ora file, and naming resolution.
- Common Oracle tools for accessing and managing databases like SQLPlus, SQL Developer, and views for monitoring databases.
The document provides an introduction to the SQL language. It discusses the three main types of SQL statements: DDL, DML, and DCL. It also covers topics such as data types, constraints, functions, views, and how to create, modify and query tables. SQL is a language used to manage relational database management systems (RDBMS) and allows users to define, manipulate, and control access to data in a RDBMS.
=-=-=-==-=-Overview of the Talk-=-=-=-=-=
Introduction to the Subject
Database
Rational Database
Object Rational Database
Database Management System
History
Programming
SQL,
Connecting Java, Matlab to a Database
Advance DBMS
Data Grid
BigTable
Demo
Products
MySQL, SQLite, Oracle,
DB2, Microsoft Access,
Microsoft SQL Server
Products Comparison.
This document provides a summary of Oracle 9i and related database concepts. It covers relational database management systems (RDBMS) and what they are used for. It also discusses Oracle built-in data types, SQL and its uses, normalization, indexes, functions, grouping data, and other database objects like views and sequences. The document is intended as a presentation on key aspects of working with Oracle 9i databases.
This document provides an overview of SQL (Structured Query Language). It defines SQL as a standard language for accessing and manipulating databases. It describes what SQL can do, such as execute queries, retrieve, insert, update and delete data. It also covers important SQL statements (SELECT, UPDATE, DELETE, INSERT), clauses (WHERE, ORDER BY), operators (LIKE), joins, and functions. In addition, it discusses SQL data types, constraints, creating tables and indexes.
Mysql is a popular open source database system. It can be downloaded from the mysql website for free. Mysql allows users to create, manipulate and store data in databases. A database contains tables which store data in a structured format. Structured Query Language (SQL) is used to perform operations like querying and manipulating data within mysql databases. Some common sql queries include select, insert, update and delete.
This document provides an introduction to SQL and database systems. It begins with example tables to demonstrate SQL concepts. It then covers the objectives of SQL, including allowing users to create database structures, manipulate data, and perform queries. Various SQL concepts are introduced such as data types, comparison operators, logical operators, and arithmetic operators. The document also discusses SQL statements for schema and catalog definitions, data definition, data manipulation, and other operators. Example SQL queries are provided to illustrate concepts around selecting columns, rows, sorting, aggregation, grouping, and more.
Introduction to structured query language (sql)Sabana Maharjan
This document provides an introduction to structured query language (SQL). It discusses the two broad categories of SQL functions: data definition language and data manipulation language. The data definition language includes commands for creating database objects like tables and views, while the data manipulation language includes commands for inserting, updating, deleting, and retrieving data from tables. The document then covers topics like SQL data types, table structures, constraints, indexes, and basic data manipulation commands. It also discusses more advanced SQL concepts such as joins, aggregate functions, and views.
An object database is a database management system in which information is represented in the form of objects as used in object-oriented programming. Object databases are different from relational databases which are table-oriented. Object-relational databases are a hybrid of both approaches
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its purpose for manipulating data in relational database systems. It then covers the main SQL commands categorized as DDL, DML, DCL, and TCL. Examples are provided for commands like CREATE TABLE, ALTER TABLE, INSERT, UPDATE, DELETE, SELECT and more. Logical and comparison operators are also defined. The document concludes with examples of implementing SQL commands to interact with database tables.
SQL - Structured query language introductionSmriti Jain
SQL is a language used to define, manipulate, and control relational databases. It has four main components: DDL for defining schemas; DML for manipulating data within schemas; DCL for controlling access privileges; and DQL for querying data. Some key SQL concepts covered include data definition using CREATE, ALTER, DROP statements; data manipulation using SELECT, INSERT, UPDATE, DELETE; and joining data across tables using conditions. Advanced topics include views, aggregation, subqueries, and modifying databases.
This document provides an overview of SQL (Structured Query Language) including what it is, what it can do, and some key SQL statements. SQL is a standard language for accessing and manipulating databases and allows users to retrieve, insert, update, and delete data. The document describes common statements like SELECT, UPDATE, DELETE, and INSERT and provides examples of basic usage.
A presentation about MySQL for beginners. It includes the following topics:
- Introduction
- Installation
- Executing SQL statements
- SQL Language Syntax
- The most important SQL commands
- MySQL Data Types
- Operators
- Basic Syntax
- SQL Joins
- Some Exercise
The document provides information on entity relationship diagrams (ERDs), including the objectives, components, and steps to create an ERD. It defines key ERD concepts like entities, attributes, relationships, and cardinality. It describes the entity modeling process and discusses how to recognize entities, attributes, relationships, and cardinalities in a database. It outlines the general steps to create an ERD, including identifying entities, finding relationships between entities, drawing a rough ERD, defining primary keys, identifying attributes, mapping attributes to entities, and drawing a fully attributed ERD. Sample ERDs are provided to illustrate concepts like cardinality constraints.
Data modeling using the entity relationship modelJafar Nesargi
The document describes key concepts in entity relationship modeling including entity types, attributes, relationships, keys, and constraints. It provides an example database application to track employees, departments, and projects within a company. It then defines entity types for departments, projects, employees, and dependents with their attributes. It also describes relationship types, cardinalities, roles, and other modeling constructs used to design the conceptual schema.
Functional dependency defines a relationship between attributes in a table where a set of attributes determine another attribute. There are different types of functional dependencies including trivial, non-trivial, multivalued, and transitive. An example given is a student table with attributes Stu_Id, Stu_Name, Stu_Age which has the functional dependency of Stu_Id->Stu_Name since the student ID uniquely identifies the student name.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
This document provides an overview of SQL and database concepts. It discusses:
- The basic structure of tables, rows, columns, and data types
- The four main SQL languages: DDL, DML, TCL, and DCL and common commands like CREATE, INSERT, UPDATE, DELETE, etc.
- Database objects like tables, views, indexes, and how to query them
- Constraints like PRIMARY KEY, UNIQUE, NOT NULL and REFERENTIAL integrity
- Transactions with COMMIT, ROLLBACK, and SAVEPOINT
The document provides an introduction to NoSQL databases. It discusses that NoSQL databases provide a mechanism for storage and retrieval of data without using tabular relations like relational databases. NoSQL databases are used in real-time web applications and for big data. They also support SQL-like query languages. The document outlines different data modeling approaches, distribution models, consistency models and MapReduce in NoSQL databases.
This document provides an introduction to structured query language (SQL). It outlines the objectives of learning SQL, which are to use SQL for data administration and data manipulation. The agenda covers SQL concepts like data types, constraints, database relationships, queries, and commands. It discusses SQL database objects and how to retrieve, customize, group and join data. It also covers inserting, updating, deleting data and working with tables, views, constraints, stored procedures and functions.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
Here are the SQL commands for the questions:
Q1: SELECT PNAME FROM PROJECT WHERE PLOCATION='Houston';
Q2: SELECT FNAME, LNAME FROM EMPLOYEE WHERE HOURS>20;
Q3: SELECT FNAME, LNAME FROM EMPLOYEE, DEPARTMENT WHERE MGRSSN=SSN;
The document introduces databases and database management systems (DBMS). It discusses that a DBMS is software that allows users to create, access, and manage data and databases. A DBMS is made up of four main components: users, a database, database applications, and the DBMS itself. The DBMS controls access to the database and enforces rules like security and data integrity. It also discusses some advantages of using a DBMS like improved data sharing and consistency.
This document provides an overview of SQL and relational database concepts. It describes the history and standards of SQL, data definition and domain types in SQL, basic query structure including the SELECT, FROM, and WHERE clauses, and DML operations like INSERT, DELETE, and ALTER TABLE. Examples of table schemas and queries involving joins, aggregation, and renaming are provided to illustrate SQL syntax and capabilities.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. It covers the history and components of SQL, data definition and manipulation languages, basic query structure, predicates, null values, and set operations in SQL. Key topics include the CREATE TABLE statement, data types, integrity constraints, SELECT statements, joins, ordering results, and aggregate functions.
Mysql is a popular open source database system. It can be downloaded from the mysql website for free. Mysql allows users to create, manipulate and store data in databases. A database contains tables which store data in a structured format. Structured Query Language (SQL) is used to perform operations like querying and manipulating data within mysql databases. Some common sql queries include select, insert, update and delete.
This document provides an introduction to SQL and database systems. It begins with example tables to demonstrate SQL concepts. It then covers the objectives of SQL, including allowing users to create database structures, manipulate data, and perform queries. Various SQL concepts are introduced such as data types, comparison operators, logical operators, and arithmetic operators. The document also discusses SQL statements for schema and catalog definitions, data definition, data manipulation, and other operators. Example SQL queries are provided to illustrate concepts around selecting columns, rows, sorting, aggregation, grouping, and more.
Introduction to structured query language (sql)Sabana Maharjan
This document provides an introduction to structured query language (SQL). It discusses the two broad categories of SQL functions: data definition language and data manipulation language. The data definition language includes commands for creating database objects like tables and views, while the data manipulation language includes commands for inserting, updating, deleting, and retrieving data from tables. The document then covers topics like SQL data types, table structures, constraints, indexes, and basic data manipulation commands. It also discusses more advanced SQL concepts such as joins, aggregate functions, and views.
An object database is a database management system in which information is represented in the form of objects as used in object-oriented programming. Object databases are different from relational databases which are table-oriented. Object-relational databases are a hybrid of both approaches
This document provides an overview of SQL commands and concepts. It begins by defining SQL and its purpose for manipulating data in relational database systems. It then covers the main SQL commands categorized as DDL, DML, DCL, and TCL. Examples are provided for commands like CREATE TABLE, ALTER TABLE, INSERT, UPDATE, DELETE, SELECT and more. Logical and comparison operators are also defined. The document concludes with examples of implementing SQL commands to interact with database tables.
SQL - Structured query language introductionSmriti Jain
SQL is a language used to define, manipulate, and control relational databases. It has four main components: DDL for defining schemas; DML for manipulating data within schemas; DCL for controlling access privileges; and DQL for querying data. Some key SQL concepts covered include data definition using CREATE, ALTER, DROP statements; data manipulation using SELECT, INSERT, UPDATE, DELETE; and joining data across tables using conditions. Advanced topics include views, aggregation, subqueries, and modifying databases.
This document provides an overview of SQL (Structured Query Language) including what it is, what it can do, and some key SQL statements. SQL is a standard language for accessing and manipulating databases and allows users to retrieve, insert, update, and delete data. The document describes common statements like SELECT, UPDATE, DELETE, and INSERT and provides examples of basic usage.
A presentation about MySQL for beginners. It includes the following topics:
- Introduction
- Installation
- Executing SQL statements
- SQL Language Syntax
- The most important SQL commands
- MySQL Data Types
- Operators
- Basic Syntax
- SQL Joins
- Some Exercise
The document provides information on entity relationship diagrams (ERDs), including the objectives, components, and steps to create an ERD. It defines key ERD concepts like entities, attributes, relationships, and cardinality. It describes the entity modeling process and discusses how to recognize entities, attributes, relationships, and cardinalities in a database. It outlines the general steps to create an ERD, including identifying entities, finding relationships between entities, drawing a rough ERD, defining primary keys, identifying attributes, mapping attributes to entities, and drawing a fully attributed ERD. Sample ERDs are provided to illustrate concepts like cardinality constraints.
Data modeling using the entity relationship modelJafar Nesargi
The document describes key concepts in entity relationship modeling including entity types, attributes, relationships, keys, and constraints. It provides an example database application to track employees, departments, and projects within a company. It then defines entity types for departments, projects, employees, and dependents with their attributes. It also describes relationship types, cardinalities, roles, and other modeling constructs used to design the conceptual schema.
Functional dependency defines a relationship between attributes in a table where a set of attributes determine another attribute. There are different types of functional dependencies including trivial, non-trivial, multivalued, and transitive. An example given is a student table with attributes Stu_Id, Stu_Name, Stu_Age which has the functional dependency of Stu_Id->Stu_Name since the student ID uniquely identifies the student name.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
This document provides an overview of SQL and database concepts. It discusses:
- The basic structure of tables, rows, columns, and data types
- The four main SQL languages: DDL, DML, TCL, and DCL and common commands like CREATE, INSERT, UPDATE, DELETE, etc.
- Database objects like tables, views, indexes, and how to query them
- Constraints like PRIMARY KEY, UNIQUE, NOT NULL and REFERENTIAL integrity
- Transactions with COMMIT, ROLLBACK, and SAVEPOINT
The document provides an introduction to NoSQL databases. It discusses that NoSQL databases provide a mechanism for storage and retrieval of data without using tabular relations like relational databases. NoSQL databases are used in real-time web applications and for big data. They also support SQL-like query languages. The document outlines different data modeling approaches, distribution models, consistency models and MapReduce in NoSQL databases.
This document provides an introduction to structured query language (SQL). It outlines the objectives of learning SQL, which are to use SQL for data administration and data manipulation. The agenda covers SQL concepts like data types, constraints, database relationships, queries, and commands. It discusses SQL database objects and how to retrieve, customize, group and join data. It also covers inserting, updating, deleting data and working with tables, views, constraints, stored procedures and functions.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
Here are the SQL commands for the questions:
Q1: SELECT PNAME FROM PROJECT WHERE PLOCATION='Houston';
Q2: SELECT FNAME, LNAME FROM EMPLOYEE WHERE HOURS>20;
Q3: SELECT FNAME, LNAME FROM EMPLOYEE, DEPARTMENT WHERE MGRSSN=SSN;
The document introduces databases and database management systems (DBMS). It discusses that a DBMS is software that allows users to create, access, and manage data and databases. A DBMS is made up of four main components: users, a database, database applications, and the DBMS itself. The DBMS controls access to the database and enforces rules like security and data integrity. It also discusses some advantages of using a DBMS like improved data sharing and consistency.
This document provides an overview of SQL and relational database concepts. It describes the history and standards of SQL, data definition and domain types in SQL, basic query structure including the SELECT, FROM, and WHERE clauses, and DML operations like INSERT, DELETE, and ALTER TABLE. Examples of table schemas and queries involving joins, aggregation, and renaming are provided to illustrate SQL syntax and capabilities.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. It covers the history and components of SQL, data definition and manipulation languages, basic query structure, predicates, null values, and set operations in SQL. Key topics include the CREATE TABLE statement, data types, integrity constraints, SELECT statements, joins, ordering results, and aggregate functions.
This document discusses the SQL query language and database concepts. It covers the basic structure of SQL queries including the SELECT, FROM, and WHERE clauses. It describes how to define schemas and relations using the SQL data definition language including data types, primary keys, and foreign keys. It also discusses operations to modify databases such as INSERT, DELETE, ALTER TABLE, and DROP TABLE.
This document discusses the SQL query language and database concepts. It covers the basic structure of SQL queries including the SELECT, FROM, and WHERE clauses. It describes how to define schemas and relations using the SQL data definition language including data types, primary keys, and foreign keys. It also discusses operations to modify databases such as INSERT, DELETE, ALTER TABLE, and DROP TABLE.
This document summarizes the contents of Chapter 3 from the textbook "Database System Concepts, 5th Ed." by Silberschatz, Korth and Sudarshan. The chapter covers the basics of the SQL language, including data definition, query structure, set operations, aggregate functions, null values, views and modification of databases. Key SQL concepts are explained such as creating tables, inserting and deleting tuples, integrity constraints, joins, and aggregation. Examples are provided to illustrate SQL statements and relational algebra translations.
This document provides an overview of Chapter 3 of the textbook "Database System Concepts". It discusses the following topics in SQL:
1. Data definition language allows specification of schemas, integrity constraints, and authorization information for relations.
2. Basic queries in SQL involve SELECT, FROM, and WHERE clauses that correspond to projection, Cartesian product, and selection in relational algebra.
3. SQL supports data types, integrity constraints, insertion and deletion of tuples, and modification of tables through DROP, ALTER, and CREATE statements.
4. Advanced query features include aggregation, null values, subqueries, joins, views and modification of the database.
The document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts". It introduces the relational model and relational algebra. The relational model uses relations (tables) to store data and relational algebra contains operations like select, project, join etc. to manipulate these relations. Some key points covered are the structure of relational databases, database schema, keys, relational query languages like SQL, and the core operators of relational algebra.
The document discusses SQL database concepts including:
- The SQL data definition language allows specification of schemas, integrity constraints, and other metadata.
- Relations are defined using CREATE TABLE statements which specify attributes and their data types.
- Basic queries use SELECT, FROM, and WHERE clauses to retrieve and filter tuples from one or more relations.
- Integrity constraints like PRIMARY KEY and NOT NULL can be defined to enforce data validity.
- SQL supports operations like JOIN, aggregation, sorting, and more.
The document discusses key concepts of relational databases and relational algebra. It defines what a relation is as a set of tuples with attributes, and covers attribute types, keys, relations schemas and instances. It also summarizes the core relational algebra operations of selection, projection, join, union, difference and Cartesian product and how they are used to manipulate and query relations.
The document provides an overview of the basic structure and features of the SQL language, including: select, from, where clauses; aggregate functions; set operations; null values; and more. It describes the typical components of an SQL query, how they map to relational algebra operations, and provides examples to illustrate various SQL concepts and capabilities.
Relational Algebra and relational queries .pptShahidSultan24
This document describes chapter 6 of the textbook "Database System Concepts, 6th Ed." which covers formal relational query languages. It introduces relational algebra as a procedural query language with basic operators like select, project, union, set difference, cartesian product, and rename. It also covers tuple and domain relational calculus. Examples of relational algebra queries are provided to find the largest salary or names of instructors and courses taught. Additional relational algebra concepts like composition of operations, set intersection, natural join, assignment, and outer join are also summarized.
This document contains lecture slides about Chapter 4 of the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. The chapter covers intermediate SQL topics like join expressions, integrity constraints, SQL data types and schemas, views, transactions, indexes and authorization. Specific topics discussed include natural joins, outer joins, integrity constraints, user-defined types, schemas and views.
This document discusses formal relational query languages, including relational algebra, tuple relational calculus, and domain relational calculus. Relational algebra is a procedural query language that uses operators like select, project, join, and set difference. Tuple relational calculus and domain relational calculus are nonprocedural query languages that use predicates and quantifiers to specify queries. Examples of queries written in each language are provided to illustrate their syntax and capabilities.
This document provides an overview of SQL (Structured Query Language) including its history, data definition and manipulation capabilities. Key topics covered include SQL's data types, basic queries using SELECT, FROM and WHERE clauses, joins, aggregation, null values, triggers and indexes. The document also discusses SQL standards over time and commercial database implementations of SQL features.
This chapter discusses SQL (Structured Query Language), the most popular language for interacting with relational database management systems. The chapter covers SQL's data definition language for defining schemas, domains, and integrity constraints. It also covers the basic SELECT statement structure for queries with FROM, WHERE, and JOIN clauses. Additional topics include views, data modification, and aggregation functions.
This chapter discusses the SQL (Structured Query Language) which is used for managing data in relational database management systems. It covers key topics in SQL including data definition, basic query structure using SELECT, FROM and WHERE clauses, set operations, aggregate functions, null values, nested subqueries, views, data modification and joined relations. The document provides examples of SQL statements for creating tables, defining domains, inserting data, querying, and modifying data.
The document discusses key concepts of the relational database model from Chapter 2 of the textbook "Database System Concepts, 6th Edition". It describes the structure of relations, which are tables made up of rows and columns. It defines entity types like attributes and tuples, and explains primary keys, foreign keys, and relationship types like one-to-one and one-to-many. It also introduces the algebraic operations of the relational algebra, which provides a declarative query language for relational databases including selection, projection, join, union and set differences.
This document provides an overview of formal relational query languages, including relational algebra, tuple relational calculus, and domain relational calculus. It discusses the basic operators of relational algebra like select, project, union, and difference. It also provides examples of queries expressed in both tuple relational calculus and domain relational calculus, and covers concepts like safety of expressions. The document is from the 6th edition of the textbook "Database System Concepts" and is intended to teach formal query languages for relational databases.
i. Being able to communicate effectively is perhaps the most important of all life skills. It is what enables us to pass information to other people, and to understand what is said to us. You only have to watch a baby listening intently to its mother and trying to repeat the sounds that she makes to understand how fundamental is the urge to communicate.
ii. Communication, at its simplest, is the act of transferring information from one place to another. It may be vocally (using voice), written (using printed or digital media such as books, magazines, websites or emails), visually (using logos, maps, charts or graphs) or non-verbally (using body language, gestures and the tone and pitch of voice). In practice, it is often a combination of several of these.
iii. Communication skills may take a lifetime to master—if indeed anyone can ever claim to have mastered them. There are, however, many things that you can do fairly easily to improve your communication skills and ensure that you are able to transmit and receive information effectively.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.