This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
The document describes a data dictionary, which includes:
1) A notation for describing the content and values of data that a software system will process and create.
2) Information about where and how data items are used.
3) A repository that also contains relationships between data items.
4) Best developed using CASE tools to represent the data dictionary notation and examples.
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
A database management system (DBMS) is a collection of programs that enables users to create and maintain databases and control all access to them. The primary goal of a DBMS is to provide an environment that is both convenient and efficient for users to retrieve and store information.
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.
The document provides an overview of database management systems (DBMS). It defines DBMS as software that creates, organizes, and manages databases. It discusses key DBMS concepts like data models, schemas, instances, and database languages. Components of a database system including users, software, hardware, and data are described. Popular DBMS examples like Oracle, SQL Server, and MS Access are listed along with common applications of DBMS in various industries.
The document discusses different types of information systems including transaction processing systems, management information systems, decision support systems, and executive support systems. It provides details on each type, including their characteristics, objectives, examples, and how they support different levels of management within an organization. The key types discussed are transaction processing systems which handle routine business transactions, management information systems which provide reports to middle management, decision support systems which support analysis for decision making, and executive support systems which are tailored for senior executive use.
The document discusses file design and organization in information systems. It describes the key components of files, including data items, records, record keys, and entities. It explains different file organizations like sequential, direct access, indexed, and inverted files. It also discusses designing printed outputs, including determining output objectives, contents, layout, and appropriate output media.
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
The document describes a data dictionary, which includes:
1) A notation for describing the content and values of data that a software system will process and create.
2) Information about where and how data items are used.
3) A repository that also contains relationships between data items.
4) Best developed using CASE tools to represent the data dictionary notation and examples.
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
A database management system (DBMS) is a collection of programs that enables users to create and maintain databases and control all access to them. The primary goal of a DBMS is to provide an environment that is both convenient and efficient for users to retrieve and store information.
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.
The document provides an overview of database management systems (DBMS). It defines DBMS as software that creates, organizes, and manages databases. It discusses key DBMS concepts like data models, schemas, instances, and database languages. Components of a database system including users, software, hardware, and data are described. Popular DBMS examples like Oracle, SQL Server, and MS Access are listed along with common applications of DBMS in various industries.
The document discusses different types of information systems including transaction processing systems, management information systems, decision support systems, and executive support systems. It provides details on each type, including their characteristics, objectives, examples, and how they support different levels of management within an organization. The key types discussed are transaction processing systems which handle routine business transactions, management information systems which provide reports to middle management, decision support systems which support analysis for decision making, and executive support systems which are tailored for senior executive use.
The document discusses file design and organization in information systems. It describes the key components of files, including data items, records, record keys, and entities. It explains different file organizations like sequential, direct access, indexed, and inverted files. It also discusses designing printed outputs, including determining output objectives, contents, layout, and appropriate output media.
The document discusses different database concepts:
1) A database is a collection of organized data that can be easily retrieved, inserted, and deleted. Database management systems (DBMS) like MySQL and Oracle are software used to manage databases.
2) The two main data models are the relational model, which organizes data into tables and relations, and the object-oriented model, which represents data as objects with properties and methods.
3) DBMS provide advantages like data sharing, backup/recovery, security, and independence between data and applications. However, they also have disadvantages such as higher costs and complexity.
hai its my first upload to this website please analyse and give me suggestions for any improvements beacuse i am an MBA student i want to learn something more
Purpose of promotion, basis of promotion, Meaning of transfer, reasons for transfer, types of transfer, right sizing of work force. Need for right sizing.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. A DSS can provide suggestions or solutions to help decision makers, and allows modification of suggestions before validation. DSS can be classified based on their relationship with the user as passive, active or cooperative, and based on their scope as enterprise-wide or desktop. The objectives of a DSS are to increase effectiveness of decision making and improve directors' effectiveness. A DSS has components like inputs, user knowledge, outputs, and decisions.
MODEL- DRIVEN DSS
includes system that use accounting, financial models, and representational models.
2. DATA DRIVEN DSS
file drawer & management reporting system, data warehousing, geographical information.
This document discusses database languages used in database management systems (DBMS). It describes three types of database languages: data definition language (DDL) used to define and modify the database schema; data manipulation language (DML) used to insert, update, delete and retrieve data; and data control language (DCL) used to control access privileges. Examples are provided for common statements in each language type like CREATE, ALTER, DROP for DDL and INSERT, UPDATE, DELETE, SELECT for DML. Case sensitivity and data types are also briefly covered.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document discusses different types of databases: hierarchical, entity-relationship, relational, object-oriented, and network. Hierarchical databases organize data in a tree structure and were the first model created by IBM in 1960. Entity-relationship databases were developed in 1976 and represent things of interest through entities and relationships. Relational databases were first described by Edgar Codd in 1969 and manage data using a structure consistent with predicate logic. Object-oriented databases store information as objects and are used for multimedia or CAD. Network databases form a flexible graph structure and allowed multiple parent-child relationships but became obsolete due to relational databases.
The document discusses replacement theory, which determines the optimal time to replace equipment or machines that deteriorate over time. It increases maintenance costs as equipment ages. The document provides examples of industries that use replacement theory and outlines the methodology. It presents a sample replacement problem looking at the purchase price, annual running costs, and resale values to determine the year when replacement is most economical based on minimum average total cost. The optimal replacement period is calculated based on rules comparing maintenance costs to average costs or scrap value.
This document discusses various long-term and short-term sources of working capital for businesses. Long-term sources include issuing equity shares, preference shares, debentures/bonds, and retaining earnings. Short-term sources include trade credit, commercial paper, advances from customers, and bank credit facilities like cash credit, overdraft, and letters of credit. The benefits, types, and merits of each source are outlined.
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.
The key characteristics of the database approach include: self-describing metadata that defines the database structure; insulation between programs and data through program-data and program-operation independence; data abstraction through conceptual data representation; support for multiple views of the data; and sharing of data through multiuser transaction processing that allows concurrent access while maintaining isolation and atomicity.
The document discusses database design and the design process. It explains that database design involves determining the logical structure of tables and relationships between data elements. The design process consists of steps like determining relationships between data, dividing information into tables, specifying primary keys, and applying normalization rules. The document also covers entity-relationship diagrams and designing inputs and outputs, including input controls and designing report formats.
This document discusses different types of keys used in databases. It defines keys as attributes that uniquely identify rows in tables. It then explains various key types including primary keys, candidate keys, super keys, alternate keys, unique keys, composite keys, foreign keys, natural keys and surrogate keys. For each key type, it provides examples from sample tables and discusses their properties and how they differ from each other. The document concludes that databases generally only contain primary, foreign, unique and surrogate keys, while other key types are conceptual, and that each table requires a unique key to reliably access and identify data.
Difference between File system And DBMS.pptxShayanMujahid2
In this presentation the difference between the file system and database management, and why databases are preferable. Not only is a database more reliable and secure than a file system, but it also allows you to modify the data easily.
This document discusses retained earnings and how to calculate the cost of retained earnings. It defines retained earnings as the portion of net profits not paid out as dividends, but instead retained by the company to reinvest. The cost of retained earnings must be at least equal to the rate of return shareholders expect to receive from reinvesting dividends. The cost can differ from the cost of equity if shareholders face flotation costs or personal taxes on reinvested dividends. Two formulas are provided to calculate the cost of retained earnings depending on whether flotation costs and taxes apply. An example calculation is also shown.
This document discusses the key functions of human resource management including planning, organizing, directing, and controlling personnel. It outlines the managerial functions of recruitment, training and development, remuneration, motivation, and maintaining employee records. Finally, it mentions the importance of industrial relations and ensuring proper separation from employees when they leave the organization.
DBMS - Database Management System, Data and Database, DBMS meaning, Why DBMS?, Characteristics of DBMS, Types of DBMS- Hierarchical DBMS, Network DBMS, Relational DBMS, Object-oriented DBMS, Applications of DBMS, Popular DBMS Software, Advantages of DBMS, disadvantages of DBMS.
The DBMS manages the database, providing an interface between users and applications and the underlying data. It handles data storage and retrieval, concurrency control, security, and other database management functions. Popular DBMS types include relational, hierarchical, network, object-oriented, and NoSQL systems. The relational model, implemented in systems like Oracle and SQL Server, remains dominant despite challenges from newer technologies.
The document discusses different database concepts:
1) A database is a collection of organized data that can be easily retrieved, inserted, and deleted. Database management systems (DBMS) like MySQL and Oracle are software used to manage databases.
2) The two main data models are the relational model, which organizes data into tables and relations, and the object-oriented model, which represents data as objects with properties and methods.
3) DBMS provide advantages like data sharing, backup/recovery, security, and independence between data and applications. However, they also have disadvantages such as higher costs and complexity.
hai its my first upload to this website please analyse and give me suggestions for any improvements beacuse i am an MBA student i want to learn something more
Purpose of promotion, basis of promotion, Meaning of transfer, reasons for transfer, types of transfer, right sizing of work force. Need for right sizing.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. A DSS can provide suggestions or solutions to help decision makers, and allows modification of suggestions before validation. DSS can be classified based on their relationship with the user as passive, active or cooperative, and based on their scope as enterprise-wide or desktop. The objectives of a DSS are to increase effectiveness of decision making and improve directors' effectiveness. A DSS has components like inputs, user knowledge, outputs, and decisions.
MODEL- DRIVEN DSS
includes system that use accounting, financial models, and representational models.
2. DATA DRIVEN DSS
file drawer & management reporting system, data warehousing, geographical information.
This document discusses database languages used in database management systems (DBMS). It describes three types of database languages: data definition language (DDL) used to define and modify the database schema; data manipulation language (DML) used to insert, update, delete and retrieve data; and data control language (DCL) used to control access privileges. Examples are provided for common statements in each language type like CREATE, ALTER, DROP for DDL and INSERT, UPDATE, DELETE, SELECT for DML. Case sensitivity and data types are also briefly covered.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document discusses different types of databases: hierarchical, entity-relationship, relational, object-oriented, and network. Hierarchical databases organize data in a tree structure and were the first model created by IBM in 1960. Entity-relationship databases were developed in 1976 and represent things of interest through entities and relationships. Relational databases were first described by Edgar Codd in 1969 and manage data using a structure consistent with predicate logic. Object-oriented databases store information as objects and are used for multimedia or CAD. Network databases form a flexible graph structure and allowed multiple parent-child relationships but became obsolete due to relational databases.
The document discusses replacement theory, which determines the optimal time to replace equipment or machines that deteriorate over time. It increases maintenance costs as equipment ages. The document provides examples of industries that use replacement theory and outlines the methodology. It presents a sample replacement problem looking at the purchase price, annual running costs, and resale values to determine the year when replacement is most economical based on minimum average total cost. The optimal replacement period is calculated based on rules comparing maintenance costs to average costs or scrap value.
This document discusses various long-term and short-term sources of working capital for businesses. Long-term sources include issuing equity shares, preference shares, debentures/bonds, and retaining earnings. Short-term sources include trade credit, commercial paper, advances from customers, and bank credit facilities like cash credit, overdraft, and letters of credit. The benefits, types, and merits of each source are outlined.
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.
The key characteristics of the database approach include: self-describing metadata that defines the database structure; insulation between programs and data through program-data and program-operation independence; data abstraction through conceptual data representation; support for multiple views of the data; and sharing of data through multiuser transaction processing that allows concurrent access while maintaining isolation and atomicity.
The document discusses database design and the design process. It explains that database design involves determining the logical structure of tables and relationships between data elements. The design process consists of steps like determining relationships between data, dividing information into tables, specifying primary keys, and applying normalization rules. The document also covers entity-relationship diagrams and designing inputs and outputs, including input controls and designing report formats.
This document discusses different types of keys used in databases. It defines keys as attributes that uniquely identify rows in tables. It then explains various key types including primary keys, candidate keys, super keys, alternate keys, unique keys, composite keys, foreign keys, natural keys and surrogate keys. For each key type, it provides examples from sample tables and discusses their properties and how they differ from each other. The document concludes that databases generally only contain primary, foreign, unique and surrogate keys, while other key types are conceptual, and that each table requires a unique key to reliably access and identify data.
Difference between File system And DBMS.pptxShayanMujahid2
In this presentation the difference between the file system and database management, and why databases are preferable. Not only is a database more reliable and secure than a file system, but it also allows you to modify the data easily.
This document discusses retained earnings and how to calculate the cost of retained earnings. It defines retained earnings as the portion of net profits not paid out as dividends, but instead retained by the company to reinvest. The cost of retained earnings must be at least equal to the rate of return shareholders expect to receive from reinvesting dividends. The cost can differ from the cost of equity if shareholders face flotation costs or personal taxes on reinvested dividends. Two formulas are provided to calculate the cost of retained earnings depending on whether flotation costs and taxes apply. An example calculation is also shown.
This document discusses the key functions of human resource management including planning, organizing, directing, and controlling personnel. It outlines the managerial functions of recruitment, training and development, remuneration, motivation, and maintaining employee records. Finally, it mentions the importance of industrial relations and ensuring proper separation from employees when they leave the organization.
DBMS - Database Management System, Data and Database, DBMS meaning, Why DBMS?, Characteristics of DBMS, Types of DBMS- Hierarchical DBMS, Network DBMS, Relational DBMS, Object-oriented DBMS, Applications of DBMS, Popular DBMS Software, Advantages of DBMS, disadvantages of DBMS.
The DBMS manages the database, providing an interface between users and applications and the underlying data. It handles data storage and retrieval, concurrency control, security, and other database management functions. Popular DBMS types include relational, hierarchical, network, object-oriented, and NoSQL systems. The relational model, implemented in systems like Oracle and SQL Server, remains dominant despite challenges from newer technologies.
A database is an organized collection of related data that can be used alone or combined with other data for multiple purposes. A database management system (DBMS) enables users to store, modify, and extract information from a database. Key characteristics of a DBMS include performance, sharing data access, security, removing redundancy, and concurrent access. DBMS were developed to address difficulties with typical file processing systems like data redundancy, inconsistent access, and security problems.
The document discusses databases and database management systems (DBMS). It defines a database as an organized collection of data that can be used alone or combined for multiple purposes. A DBMS is a collection of programs that enables storing, modifying, and extracting data from a database. The document then discusses key characteristics, purposes, advantages, types and components of DBMS.
This document provides an overview of database management systems (DBMS). It discusses what a DBMS is, the main types of DBMS models including hierarchical, network and relational models, and the architecture of a DBMS including external, conceptual and internal levels. Advantages of DBMS include controlling redundancy, sharing data, data consistency and integration. Disadvantages include costs of hardware, software, staff training and potential for database damage. The document concludes that a DBMS allows users to create, read, update and delete database data consistently.
Madhulatha created a presentation on database management systems for her 12th class computer science project. The presentation covers key topics such as the purpose, advantages, and components of a DBMS. It also explains different data models including hierarchical, network, and relational models. Madhulatha thanks her computer science teacher Malika Parveen for guiding her on the project.
This document provides an overview of database management systems (DBMS). It defines data and databases, and explains that a DBMS organizes data into tables and indexes to make it easily accessible. A DBMS offers advantages over file systems like reducing data redundancy, improving data sharing and concurrency, and enforcing data integrity. The document also describes the typical structure of a DBMS and roles of users like administrators, designers, and end users.
The document discusses database management systems (DBMS). It defines a DBMS as software that allows for the effective storage, retrieval, and manipulation of data. It lists some common DBMS like MySQL, Oracle, and SQL Server. The document then describes the main types of DBMS: hierarchical, network, relational, distributed, and object-oriented. It provides details on hierarchical, network, and relational DBMS, explaining their data models and relationships. Overall, the document provides an overview of DBMS, what they are, common examples, and descriptions of the main types of DBMS and their data models.
1) The document discusses different database models including hierarchical, network, and relational models. The relational model organizes data into tables and allows relationships between tables.
2) It provides examples of one-to-one, one-to-many, and many-to-many relationships.
3) The relational database management system (RDBMS) is introduced, with Oracle given as an example RDBMS. RDBMSs must satisfy E.F. Codd's 12 rules to be considered fully relational.
This document provides an overview of database management systems (DBMS) including their characteristics and applications. It discusses why DBMS are used, their ACID properties, support for multi-user access, multiple views, security features, use of relational tables, isolation of data and applications, normalization to reduce redundancy, consistency, query languages, and types of users. Entity relationship modeling and the relational data model are also introduced.
This document discusses databases and database management systems (DBMS). It defines a database as a collection of related records and files that can be accessed electronically. It notes that a DBMS is software that facilitates creating, organizing, and maintaining databases for various applications. Some key benefits of a DBMS mentioned include more efficient data management, centralized data control, consistency across data used in different parts of an organization, and easier data sharing and availability. The document also provides examples of traditional file systems and some of their limitations compared to DBMS, such as data redundancy, inconsistency, lack of sharing, and poor security. Finally, it briefly outlines some popular DBMS software and highlights both advantages and disadvantages of using a DBMS.
This document provides an overview of relational database management systems (RDBMS). It defines key database concepts like data, information, and database systems. It also explains the hierarchical structure of DBMS and compares flat file databases to relational databases. Relational databases incorporate multiple normalized tables that can be related to each other, while flat files put all data in a single table without relationships between files.
This document discusses database management systems (DBMS). It defines a DBMS as software that manages databases and provides interfaces for creating, storing, updating, and securing data. The document outlines the key functions of a DBMS, including data definition, updation, retrieval, and user administration. It also discusses the characteristics, advantages, disadvantages, popular types (hierarchical, network, relational, object-oriented), software, and applications of DBMS.
This document discusses different types of databases and their features. It describes drawbacks of using file systems to store data, including data redundancy, difficulty accessing data, and integrity issues. It defines what a database and DBMS are, and explains the difference between data and information. The main types of databases covered are relational databases, object-oriented databases, network databases, and hierarchical databases. Hierarchical databases organize data in a tree structure with parent-child relationships, while network databases allow many-to-many relationships.
Dbms classification according to data modelsABDUL KHALIQ
CLASSIFICATION ACCORDING TO DATA MODELS
Hierarchal Model
In a hierarchical data model, data are organized into a tree-like structure.
Network Model
based on an enlargement of the concept of hierarchical data bases.
Relational Model
Data are stored in tables
Object Oriented model
Object oriented data base systems are the most recent development in data base technology.
Introduction
Definations
Advantages and Disadvantages
PowerPoint Presentation
PowerPoint Presentation for free
INFORMATION TECHNOLOGY PRESENTATION ON INFORMATON MANAGEMENT.pptxodane3
A flat-file database stores records in a simple file without structures for indexing or recognizing relationships between records. It has disadvantages like being harder to update and query. A relational database separates logical and physical structures and makes it easy to sort and find structured data. However, it can only store tabular data, limiting complex relationships. A hierarchical database organizes data in a tree structure with parent-child relationships. It has advantages for efficiency but rigid structure and data duplication. A network database uses a graph schema to flexibly represent object relationships but requires more complex management.
This document discusses databases and database management systems (DBMS). It defines a database as a collection of organized data and a DBMS as the collection of programs that allow users to access, manipulate, and represent data. The document outlines the architecture of DBMS including three levels of data abstraction. It describes hierarchical, network, and relational database models and notes that the relational model is most widely used. Advantages of DBMS include data sharing and consistency while disadvantages include costs and potential for failure. The document lists applications of databases such as banking, airlines, and universities.
A database is a collection of logically related data. Common operations on a database include inserting, retrieving, updating, and deleting records. There are several types of databases including flat-file, relational, hierarchical, and network databases. A database management system (DBMS) is a collection of programs used to create, maintain and access databases. It includes utilities to process, maintain, backup and recover data. Structured Query Language (SQL) is commonly used with DBMS to create, retrieve, update and delete records from databases.
Presentation of DBMS (database management system) part 2Junaid Nadeem
Group 9 presented on flat database models and relational database models. A flat database stores all information in a single table, which can cause data redundancy and inconsistencies. Relational databases address these issues by storing data across multiple tables and defining relationships between tables using primary and foreign keys. Relational databases provide benefits like faster searches, more robust data integrity, and the ability to perform complex queries. However, relational databases also have disadvantages such as increased costs, greater management complexity, and the risk of data loss if the database fails.
This document provides an overview of database management systems (DBMS). It defines a database as an organized collection of data that can be queried and updated. A DBMS is software that manages databases and allows data to be shared between applications. Key advantages of DBMS include improved data sharing, security, and avoidance of inconsistencies. Common applications of DBMS include banking systems, online shopping, and social media sites.
This document discusses organizational politics and provides an introduction, causes, consequences, and ways to overcome ineffective organizational politics. It defines organizational politics as informal efforts to influence an organization or achieve personal objectives. Typically, politics arise due to limited resources that different individuals or groups want to control. Causes include individual factors like a desire for promotion, as well as organizational factors. Consequences can include both positive impacts like greater efficiency but also negatives like increased stress. The document recommends overcoming ineffective politics through creating shared goals, objectives, and metrics to measure progress.
The document discusses virtual supply chains. A virtual supply chain coordinates other companies to do design, production, and distribution without owning physical assets or employees. Dell is used as a case study of a virtual organization that linked suppliers and customers through information sharing over the Internet. This allowed Dell to reduce costs and enhance customer relationships. The conclusion states that virtual supply chains networking all parties through collaboration are inevitable to increase profits and reduce costs in today's digital economy.
The document summarizes the functions and processes of a central sterile supply department (CSSD) in a hospital. The CSSD collects soiled medical equipment from departments, sterilizes and packages the equipment, and distributes the sterile supplies to operating rooms and wards. Key functions of the CSSD include maintaining sterilization standards, monitoring controls to prevent infections, and managing inventory. The CSSD aims to reduce hospital-acquired infections by properly sterilizing equipment between each use.
The document discusses the objectives and roles of financial management. Financial management involves planning, organizing, directing, and controlling the financial activities of a company. The basic objectives are profit maximization, wealth maximization, and maintaining liquid assets. Operational objectives include ensuring timely availability of funds, effective utilization of finances, investment safety, and enterprise growth. Social objectives are timely payments to stakeholders like shareholders, employees, suppliers and taxes. Key roles of financial management are liquidity management, cash flow forecasting, fund raising, internal fund management, cost control, and profitability measurement.
This document discusses the quality of work life. It defines work life as the overall quality of an individual's working life, including factors like income, health, relationships, and happiness. It aims to create a positive attitude, increase productivity, and improve standard of living. The document then discusses the history of work life quality, dimensions for measuring it, factors that influence it like job satisfaction and stress, and strategies for improving work life quality such as self-managed work teams and participative management.
Advertising is defined as an openly sponsored form of communication used to promote or sell a product, service, or idea. The document outlines the history of advertising dating back to ancient Egypt and China, and describes the main types including print, broadcast, outdoor, covert, and public service advertising. It also discusses the objectives, expenditures, approaches, criticisms, and conclusion regarding advertising.
This document discusses health economics and related topics. It defines health economics as a branch of economics concerned with issues around scarcity in health and healthcare allocation. It also discusses key concepts like the determinants of health, the role of health in economic development, and scarcity in healthcare systems. The document notes that while demand for healthcare is increasing, supply is limited, so administrators must work to increase support and address this healthcare scarcity issue.
Assumptions about parametric and non parametric testsBarath Babu Kumar
Parametric tests make specific assumptions about the population parameters, such as the data being normally distributed. Non-parametric tests do not assume a particular distribution and instead focus on differences in medians or proportions. Common assumptions for parametric tests include normality of data, homogeneity of variances between groups, a linear relationship between variables, and independence of observations. Specific parametric tests like the t-test and ANOVA also assume random sampling from a normally distributed population and additivity of treatment effects.
The document outlines the 7 steps in decision making:
1. Identify the problem by defining it clearly.
2. Gather relevant information by collecting and classifying facts.
3. Identify alternative courses of action by considering all options.
4. Weigh the alternatives by evaluating quantitative and qualitative factors.
5. Choose the best alternative based on factors like resources and risk.
6. Implement the decision by communicating it, assigning responsibility, and developing procedures.
7. Review the decision by comparing results to objectives and identifying any deviations.
This document discusses fringe benefits provided by employers to employees. It defines fringe benefits as compensation beyond direct wages or salaries, such as company cars, housing allowances, medical insurance, paid time off, and pension plans. The document outlines the objectives of fringe benefits from the employer perspective, including improving employee loyalty, motivation, and morale. It also lists different types of fringe benefits, such as those providing paid time off, employee security, health and safety, and welfare/recreational activities. The document notes that while fringe benefits are popular among employees, they are criticized by some employers due to the incurred costs.
The document discusses the steps involved in closing a project. It begins by stating that a project has a definite beginning and end, and that the project closing phase involves evaluating if the project's objectives were met. It then lists potential reasons for early project termination such as changing needs or loss of resources. The main steps in project closing are: 1) confirming all work was completed as required, 2) completing any remaining payments, 3) obtaining formal customer acceptance, 4) final performance reporting, 5) handing off the completed project, and 6) releasing all project resources for new work. The document also outlines four methods for closing projects: by extinction, integration, addition, or starvation.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
2. DBMS – DATABASE MANAGEMENT SYSTEM
• DBMS is system software for creating and managing databases.
The DBMS provides users and programmers with a systematic
way to create, retrieve, update and manage data.
• It serves as an interface between the database and end,
ensuring that data is consistently organized and remains easily
accessible.
3.
4. HDBMS - INTRODUCTION
• A DBMS is said to be hierarchical, when the data is organized
like a tree structure. That means, it simply represents the data
using parent – child relationship. It follows one to many
relationship. i.e. All parents can have more than one child, but
each child should have only one parent.
• The parent record at the top of the tree structure is called the
Root record. In this type of DBMS, there is a drawback. If we
want to add a new field or record, it may require to redefine the
entire database in some cases.
5. ADVANTAGES/DISADVANTAGES
• The only advantage of this model is we can easily retrieve the value
without wasting much time - ADVANTAGE
• Because it is designed in one to many relationship a child can have
only a single parent so, redundancy comes into picture because of
data duplication.
• When we want to access the data in this model we need to travel
from the root node step by step to the desired level, which will be
time consuming.
• Only one person can share the database simultaneously.
• If you want to add the new level in between the existing levels. The
user has to reconstruct the entire tree structure but it is “tedious and
6. NDBMS - INTRODUCTION
• A network database consists of a collection of records
connected to one another through links
• A network may have as many connections as it can.
• In DBMS language, a parent can have many children and a child
can have more than one parent. So a Network DBMS will have
many-to-many relationship.
7. ADVANTAGES/DISADVANTAGES
• In hierarchical DBMS, we can have only one parent to a child.
But in Network, we can have more than one. – ADVANTAGE
• Retrieval of data is difficult because more than one parent
exist.
9. COMPARISON
• Family tree like structure of
database
• 1:1, 1:M Parent-child
relationship is established
• We cannot insert the
information of child who does
not have any parent.
• Database structure look like a
network form
• 1:1, 1:M and Multiple parent-
child relationship is
established
• No member can exist without
an owner
10. CONCLUSION
• Since HDBMS had a major drawback, NDBMS was developed. Like
the hierarchical structure, the network model was unable to
handle ad hoc requests for information easily because its
relationships must be specified in advance, which pointed to the
need for relationship model