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.
The document discusses traditional file systems and database management systems (DBMS). It provides an overview of traditional file systems, including their advantages and limitations. It then discusses DBMS, including its components, advantages like reduced data redundancy and improved data integrity, and limitations such as increased complexity. The document uses examples to illustrate key differences between traditional file systems and DBMS.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
The document discusses the drawbacks of using file systems to manage large amounts of shared data, such as data redundancy, inconsistency, isolation, and lack of security and crash recovery. It then introduces database management systems (DBMS) as an alternative that offers advantages like data independence, efficient access, integrity, security, concurrent access, administration, and reduced application development time. However, DBMS also have disadvantages including cost, size, complexity, and higher impact of failure.
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.
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.
The document discusses the key components of a database system environment: hardware, software, people, procedures, and data. It describes hardware as the physical devices like computers. It explains that software includes operating systems, database management systems (DBMS), and application programs. People in the environment include administrators, designers, analysts, programmers, and end users. Procedures govern how the database system is designed and used. Data refers to the collection of facts stored in the database.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
The document discusses traditional file systems and database management systems (DBMS). It provides an overview of traditional file systems, including their advantages and limitations. It then discusses DBMS, including its components, advantages like reduced data redundancy and improved data integrity, and limitations such as increased complexity. The document uses examples to illustrate key differences between traditional file systems and DBMS.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
The document discusses the drawbacks of using file systems to manage large amounts of shared data, such as data redundancy, inconsistency, isolation, and lack of security and crash recovery. It then introduces database management systems (DBMS) as an alternative that offers advantages like data independence, efficient access, integrity, security, concurrent access, administration, and reduced application development time. However, DBMS also have disadvantages including cost, size, complexity, and higher impact of failure.
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.
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.
The document discusses the key components of a database system environment: hardware, software, people, procedures, and data. It describes hardware as the physical devices like computers. It explains that software includes operating systems, database management systems (DBMS), and application programs. People in the environment include administrators, designers, analysts, programmers, and end users. Procedures govern how the database system is designed and used. Data refers to the collection of facts stored in the database.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
This document discusses association rule mining. Association rule mining finds frequent patterns, associations, correlations, or causal structures among items in transaction databases. The Apriori algorithm is commonly used to find frequent itemsets and generate association rules. It works by iteratively joining frequent itemsets from the previous pass to generate candidates, and then pruning the candidates that have infrequent subsets. Various techniques can improve the efficiency of Apriori, such as hashing to count itemsets and pruning transactions that don't contain frequent itemsets. Alternative approaches like FP-growth compress the database into a tree structure to avoid costly scans and candidate generation. The document also discusses mining multilevel, multidimensional, and quantitative association rules.
Entity Relationship Diagrams (ERDs) are conceptual data models used in software engineering to model information systems. ERDs represent entities as rectangles, attributes as ellipses, and relationships as diamonds connecting entities. Attributes can be single-valued, multi-valued, composite, or derived. Relationships have cardinality like one-to-one, one-to-many, many-to-one, or many-to-many. Participation constraints and Codd's 12 rules of relational databases are also discussed in the document.
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 data model is a set of concepts that define the structure of data in a database. The three main types of data models are the hierarchical model, network model, and relational model. The hierarchical model uses a tree structure with parent-child relationships, while the network model allows many-to-many relationships but is more complex. The relational model - which underlies most modern databases - uses tables with rows and columns to represent data, and relationships are represented by values in columns.
This document discusses different methods for organizing and indexing data stored on disk in a database management system (DBMS). It covers unordered or heap files, ordered or sequential files, and hash files as methods for physically arranging records on disk. It also discusses various indexing techniques like primary indexes, secondary indexes, dense vs sparse indexes, and multi-level indexes like B-trees and B+-trees that provide efficient access to records. The goal of file organization and indexing in a DBMS is to optimize performance for operations like inserting, searching, updating and deleting records from disk files.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
The document discusses database crash recovery. It explains that crash recovery is needed to restore the database to a consistent state after failures like system crashes or hardware errors. It describes the log-based recovery process used by database management systems, including writing log records, undo/redo operations, and using checkpoints to optimize the recovery process. The sources of failures and the need for backup and recovery from catastrophic failures are also covered.
The document discusses database design and relational database management systems. It covers key concepts like normalization, primary keys, foreign keys, and relationships between tables. Normalization is the process of organizing data to eliminate redundancy and ensure data is stored correctly. There are five normal forms with third normal form being sufficient for most applications. Tables are related through primary and foreign keys and different types of relationships can exist between tables like one-to-one, one-to-many, and many-to-many.
The document provides an introduction to database management systems (DBMS). It discusses the components of a DBMS environment including hardware, software, data, and procedures. It also outlines the roles in a database environment, the history of database systems, and the functions of a DBMS. Advantages include data control and consistency, while disadvantages include complexity, size, and costs.
DDBMS, characteristics, Centralized vs. Distributed Database, Homogeneous DDBMS, Heterogeneous DDBMS, Advantages, Disadvantages, What is parallel database, Data fragmentation, Replication, Distribution Transaction
The document discusses different types of joins in database systems. It defines natural join, inner join, equi join, theta join, semi join, anti join, cross join, outer join including left, right and full outer joins, and self join. Examples are provided for each type of join to illustrate how they work.
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.
This document provides an overview of database management systems (DBMS). It discusses the history and components of DBMS, including how they were developed to address limitations of earlier file-based data management systems by providing data independence, efficient access, integrity, security, concurrent access and recovery from crashes. The document also covers DBMS concepts such as data definition and manipulation languages, database administration, types of users and databases, and advantages and disadvantages of DBMS.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
This document discusses transaction processing systems (TPS). It defines a transaction as a group of tasks that updates or retrieves data. A TPS collects, stores, modifies and retrieves enterprise data transactions. Transactions must follow the ACID properties - atomicity, consistency, isolation, and durability. There are two types of TPS - batch processing, which collects and stores data in batches, and real-time processing, which immediately processes data. Long duration transactions pose challenges as user interaction is required and partial data may be exposed if not committed. Nested transactions and alternatives to waits and aborts can help manage long-running transactions.
These slides cover the following concepts:
~ RDBMS vs DBMS
~ RDBMS structure
~ RDBMS basics for beginners
~ RELATIONAL DATABASE MANAGEMENT SYSTEM
~ DATA, SCHEMA, AND DATABASE
~ WHAT IS RDBMS?
~ FEATURES OF RDBMS
~ RELATIONSHIPS IN DATABASE
~ RULES OF RDBMS
~ ELEMENTS OF RDBMS
~ SQL COMMANDS
~ SQL CONSTRAINTS
~ COMMON SQL CONSTRAINTS
~ DATA DEFINITION LANGUAGE SCRIPT (DDL)
~ DATA MANIPULATION LANGUAGE SCRIPT (DML)
~ DATA CONTROL LANGUAGE SCRIPT (DCL)
~ PRIMARY KEY, FOREIGN KEY
~ EXAMPLE OF PRIMARY AND FOREIGN KEY
~ DBMS VS RDBMS
~ RDBMS NORMALIZATION
~ BENEFITS OF NORMALIZING
~ SQL JOINS
~ INNER JOIN
~ LEFT OUTER JOIN
~ RIGHT OUTER JOIN
~ FULL OUTER JOIN
~ CROSS JOIN
~ SELF JOIN
Relational databases allow data to be stored and linked across multiple tables. This structured format makes the data more organized, avoids duplications, and enables complex queries across different aspects of the data. The key components are tables with unique identifiers, relationships between tables established through common fields, and queries to extract specific data combinations. Proper database design upfront is important to ensure the tables and relationships accurately capture and connect all the relevant entities and attributes in the study.
Database architecture uses programming languages to design software for businesses, focusing on designing, developing, implementing, and maintaining computer programs. The architecture of a database system depends on the computer system it runs on, and a database system can be centralized or use a client-server model with client machines for users and a server for the database system.
This document discusses data independence in databases. It defines database schemas, including the internal, conceptual, and external schemas that make up the three-schema architecture. The database state and valid state are also defined. Logical data independence allows changes to the conceptual schema without changing external schemas or applications. Physical data independence allows changes to the internal schema without changing the conceptual schema. Both help ensure that changes to lower-level schemas do not require changes to higher-level schemas and applications.
The document discusses the key differences between a file system and a database management system (DBMS). A file system is software that organizes files in a storage medium, while a DBMS is an application that is used to access, create, and manage databases. Some key differences are:
- A file system does not provide crash recovery or support for complex transactions, whereas a DBMS offers crash recovery and makes complex transactions easier.
- Data inconsistency is higher with file systems, while DBMS provides greater data consistency and security.
- File systems do not natively offer features like concurrency control and transaction support that DBMS provides.
Database users can be categorized into actors on the scene and workers behind the scene. Actors on the scene include database administrators, database designers, end users like casual users, naive users, and sophisticated users. Workers behind the scene include DBMS system designers and implementers who design and develop the database management system software and modules.
This document discusses association rule mining. Association rule mining finds frequent patterns, associations, correlations, or causal structures among items in transaction databases. The Apriori algorithm is commonly used to find frequent itemsets and generate association rules. It works by iteratively joining frequent itemsets from the previous pass to generate candidates, and then pruning the candidates that have infrequent subsets. Various techniques can improve the efficiency of Apriori, such as hashing to count itemsets and pruning transactions that don't contain frequent itemsets. Alternative approaches like FP-growth compress the database into a tree structure to avoid costly scans and candidate generation. The document also discusses mining multilevel, multidimensional, and quantitative association rules.
Entity Relationship Diagrams (ERDs) are conceptual data models used in software engineering to model information systems. ERDs represent entities as rectangles, attributes as ellipses, and relationships as diamonds connecting entities. Attributes can be single-valued, multi-valued, composite, or derived. Relationships have cardinality like one-to-one, one-to-many, many-to-one, or many-to-many. Participation constraints and Codd's 12 rules of relational databases are also discussed in the document.
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 data model is a set of concepts that define the structure of data in a database. The three main types of data models are the hierarchical model, network model, and relational model. The hierarchical model uses a tree structure with parent-child relationships, while the network model allows many-to-many relationships but is more complex. The relational model - which underlies most modern databases - uses tables with rows and columns to represent data, and relationships are represented by values in columns.
This document discusses different methods for organizing and indexing data stored on disk in a database management system (DBMS). It covers unordered or heap files, ordered or sequential files, and hash files as methods for physically arranging records on disk. It also discusses various indexing techniques like primary indexes, secondary indexes, dense vs sparse indexes, and multi-level indexes like B-trees and B+-trees that provide efficient access to records. The goal of file organization and indexing in a DBMS is to optimize performance for operations like inserting, searching, updating and deleting records from disk files.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
The document discusses database crash recovery. It explains that crash recovery is needed to restore the database to a consistent state after failures like system crashes or hardware errors. It describes the log-based recovery process used by database management systems, including writing log records, undo/redo operations, and using checkpoints to optimize the recovery process. The sources of failures and the need for backup and recovery from catastrophic failures are also covered.
The document discusses database design and relational database management systems. It covers key concepts like normalization, primary keys, foreign keys, and relationships between tables. Normalization is the process of organizing data to eliminate redundancy and ensure data is stored correctly. There are five normal forms with third normal form being sufficient for most applications. Tables are related through primary and foreign keys and different types of relationships can exist between tables like one-to-one, one-to-many, and many-to-many.
The document provides an introduction to database management systems (DBMS). It discusses the components of a DBMS environment including hardware, software, data, and procedures. It also outlines the roles in a database environment, the history of database systems, and the functions of a DBMS. Advantages include data control and consistency, while disadvantages include complexity, size, and costs.
DDBMS, characteristics, Centralized vs. Distributed Database, Homogeneous DDBMS, Heterogeneous DDBMS, Advantages, Disadvantages, What is parallel database, Data fragmentation, Replication, Distribution Transaction
The document discusses different types of joins in database systems. It defines natural join, inner join, equi join, theta join, semi join, anti join, cross join, outer join including left, right and full outer joins, and self join. Examples are provided for each type of join to illustrate how they work.
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.
This document provides an overview of database management systems (DBMS). It discusses the history and components of DBMS, including how they were developed to address limitations of earlier file-based data management systems by providing data independence, efficient access, integrity, security, concurrent access and recovery from crashes. The document also covers DBMS concepts such as data definition and manipulation languages, database administration, types of users and databases, and advantages and disadvantages of DBMS.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
This document discusses transaction processing systems (TPS). It defines a transaction as a group of tasks that updates or retrieves data. A TPS collects, stores, modifies and retrieves enterprise data transactions. Transactions must follow the ACID properties - atomicity, consistency, isolation, and durability. There are two types of TPS - batch processing, which collects and stores data in batches, and real-time processing, which immediately processes data. Long duration transactions pose challenges as user interaction is required and partial data may be exposed if not committed. Nested transactions and alternatives to waits and aborts can help manage long-running transactions.
These slides cover the following concepts:
~ RDBMS vs DBMS
~ RDBMS structure
~ RDBMS basics for beginners
~ RELATIONAL DATABASE MANAGEMENT SYSTEM
~ DATA, SCHEMA, AND DATABASE
~ WHAT IS RDBMS?
~ FEATURES OF RDBMS
~ RELATIONSHIPS IN DATABASE
~ RULES OF RDBMS
~ ELEMENTS OF RDBMS
~ SQL COMMANDS
~ SQL CONSTRAINTS
~ COMMON SQL CONSTRAINTS
~ DATA DEFINITION LANGUAGE SCRIPT (DDL)
~ DATA MANIPULATION LANGUAGE SCRIPT (DML)
~ DATA CONTROL LANGUAGE SCRIPT (DCL)
~ PRIMARY KEY, FOREIGN KEY
~ EXAMPLE OF PRIMARY AND FOREIGN KEY
~ DBMS VS RDBMS
~ RDBMS NORMALIZATION
~ BENEFITS OF NORMALIZING
~ SQL JOINS
~ INNER JOIN
~ LEFT OUTER JOIN
~ RIGHT OUTER JOIN
~ FULL OUTER JOIN
~ CROSS JOIN
~ SELF JOIN
Relational databases allow data to be stored and linked across multiple tables. This structured format makes the data more organized, avoids duplications, and enables complex queries across different aspects of the data. The key components are tables with unique identifiers, relationships between tables established through common fields, and queries to extract specific data combinations. Proper database design upfront is important to ensure the tables and relationships accurately capture and connect all the relevant entities and attributes in the study.
Database architecture uses programming languages to design software for businesses, focusing on designing, developing, implementing, and maintaining computer programs. The architecture of a database system depends on the computer system it runs on, and a database system can be centralized or use a client-server model with client machines for users and a server for the database system.
This document discusses data independence in databases. It defines database schemas, including the internal, conceptual, and external schemas that make up the three-schema architecture. The database state and valid state are also defined. Logical data independence allows changes to the conceptual schema without changing external schemas or applications. Physical data independence allows changes to the internal schema without changing the conceptual schema. Both help ensure that changes to lower-level schemas do not require changes to higher-level schemas and applications.
The document discusses the key differences between a file system and a database management system (DBMS). A file system is software that organizes files in a storage medium, while a DBMS is an application that is used to access, create, and manage databases. Some key differences are:
- A file system does not provide crash recovery or support for complex transactions, whereas a DBMS offers crash recovery and makes complex transactions easier.
- Data inconsistency is higher with file systems, while DBMS provides greater data consistency and security.
- File systems do not natively offer features like concurrency control and transaction support that DBMS provides.
Database users can be categorized into actors on the scene and workers behind the scene. Actors on the scene include database administrators, database designers, end users like casual users, naive users, and sophisticated users. Workers behind the scene include DBMS system designers and implementers who design and develop the database management system software and modules.
This presentation discusses the following topics:
What is File Management System?
What is Database Management System?
File system vs Database Management System
Limitations of File Based System
Advantages of Database Management System
DBMS Environment
Examples of Database Applications
Limitation of Database Management System
A critique on traditional file system vs databasesShallote Dsouza
This document compares traditional file systems to database management systems. It discusses that traditional file systems organize independent files, can result in data redundancy and inconsistencies. Database management systems store structured data in a centralized location, reducing redundancy and improving data sharing, security, and integrity through techniques like normalization. The document also notes several advantages to switching from traditional file systems to database systems, such as easier random data access, recovery, and more flexible data management overall.
1. The document discusses the differences between a DBMS and a file system. A DBMS provides features like crash recovery, concurrent access control, and efficient data storage and retrieval that a file system does not provide.
2. It describes the three schema architecture of a database system including the physical, conceptual, and external schemas.
3. It provides an overview of the components of a database system including the storage manager, query processor, and different types of users.
Data exists in unorganized files but can be organized into a database using a database management system (DBMS). Traditional file management involves storing data in files that can be manually accessed and updated, but this leads to problems like data redundancy, lack of flexibility, and security issues. A DBMS centralizes data, allows efficient management and sharing of data, and provides access to stored data through application programs to reduce these problems.
CP 121 introduces database systems. The lecture covers file-based systems, the database approach, common database uses, users, DBMS components and functions, and advantages and disadvantages of databases. Key points include: File-based systems are limited but the database approach offers data sharing and consistency. A DBMS manages data storage, transactions, integrity, security and more. Database users include administrators, designers, developers and end users who access data through applications.
Database management system lecture notesUTSAHSINGH2
DBMS provide an organized collection of interrelated data stored and retrieved digitally in a computer system. A DBMS uses SQL to allow users to define, create, maintain and control access to the database. It consists of several components including a query processor, data dictionary, runtime database manager and data manager. The three schema architecture separates the logical and physical levels to provide data independence and abstraction.
1. The document discusses database management systems (DBMS) and provides examples of common database applications like banking, airlines, universities, and more.
2. It then gives examples of university database applications like adding students/courses, registering for classes, assigning grades, and more.
3. Early database applications were built directly on file systems, but DBMS provides advantages like data integrity, security, transaction control, concurrent access, and independence from physical storage.
The document discusses database management systems (DBMS). It covers topics such as the introduction to databases, components of a DBMS, and applications of DBMS. It defines a DBMS as a system software used to create and manage databases. A DBMS provides users with tools to define, manipulate, retrieve, and manage data. It also discusses the different types of databases like hierarchical, network, relational, and object-oriented databases.
The document discusses key concepts related to database management systems (DBMS), including:
1. A DBMS allows for the creation, organization, and management of structured data in a centralized database that can be easily accessed and shared.
2. The three-level architecture of a DBMS separates the database into an internal, conceptual, and external schema to abstract the physical storage from the logical design and user view.
3. Key components of a DBMS include hardware for storage and input/output, software for managing the database, and users who design, implement and query the database system.
DBMS and file systems are two approaches to organizing data in a computer system. The file system approach involves storing data in decentralized files managed by individual departments, while the DBMS approach involves centralizing data storage to reduce redundancy and improve data integrity, security, and sharing. Some key differences are that DBMS provides abstraction of data, recovery mechanisms, data independence, and supports integrity constraints, while file systems require custom programming and management of individual files.
This document provides an overview of database management systems (DBMS). It discusses the history and evolution of DBMS, including early systems from the 1960s and advances in the 1980s with SQL. It also defines key DBMS concepts like data, information, metadata, and the three-level DBMS architecture. Additionally, it covers DBMS functions, the role of the database administrator, data independence, and examples of conceptual and physical database models.
The document discusses database concepts, database management systems (DBMS), and relational database
management systems (RDBMS). It defines a database as a collection of integrated data controlled centrally for an
organization. A DBMS is software that facilitates flexible data management, including data organization, integration,
protection, and interrogation. An RDBMS uses a relational model with tables to show relationships between data and
allows distributed access across heterogeneous systems through client-server architecture.
This presentation discusses databases and database management systems. It begins by defining data and information, and explaining how databases store both raw data and metadata to facilitate sharing and management. The presentation then covers the components and functions of a database system, including the database, DBMS software, operating system, and users. It emphasizes the importance of database design and explains how databases improved upon early file systems. In closing, it summarizes that databases integrate data for improved access and consistency, while database management systems perform functions like data storage, security, and backup recovery.
Data:
– Raw facts; building blocks of information
– Unprocessed information
Information:
– Data processed to reveal meaning
• Accurate, relevant, and timely information is key
to good decision making.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...ABHILASH DUTTA
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
2. File system
• File system is a method and data structure that the operating system uses to
control how data is stored and retrieved.
• A file system stores and organizes data and can be thought of as a type of index
for all the data contained in a storage device. These devices can include hard
drives, optical drives and flash drives.
• File systems contain information such as the size of the file, as well as its
attributes, location and hierarchy.
3. Role of File system
File systems use metadata to store and retrieve files.
• Date created
• Last date of access
• User ID of the file creator
• Access permissions
• File size
4. Database Management Systems
• Databases are the most common way to store and manage data used by
applications.
• A database management system (DBMS) is a software tool that enables users to
manage a database easily.
• It allows users to access and interact with the underlying data in the database.
5. Database Management Systems
DBMS Includes
• Configuring authentication and authorization.
• Providing data backups and snapshots.
• Performance tuning.
• Data recovery.
6. Difference Between File System & DBMS
File System DBMS
A file system is a software that manages and
organizes the files in a storage medium. It controls
how data is stored and retrieved.
DBMS or Database Management System is a software
application. It is used for accessing, creating, and
managing databases
The file system provides the details of data
representation and storage of data.
DBMS gives an abstract view of data that hides the
details
It does not offer data recovery processes. There is a backup recovery for data in DBMS
The file system doesn’t have a crash recovery
mechanism
DBMS provides a crash recovery mechanism
7. Difference Between File System & DBMS
File System DBMS
Protecting a file system is very difficult. DBMS offers good protection mechanism
In a file management system, the redundancy of data
is greater.
The redundancy of data is low in the DBMS system.
Less complex, does not support complicated
transactions
More complexity in managing the data, easier to
implement complicated transactions