5 data resource management

Sep 7, 2014Download as PPT, PDF2 likes2,677 views

A database is a set of related data. A database management system (DBMS) allows users to access and perform operations on data in a database. Some key benefits of a DBMS include easy data use, centralized data control, and data security. Traditional file systems have disadvantages like data redundancy, inconsistency, and lack of integrity and security. There are different types of database models including hierarchical, network, relational, and object-oriented.

What is a database?
A set of related data is called database.
For example:
Student database that consists of the following fields, Enrollment
number, Student name, Department, Year, Address.
Employee database that consists of the following fields, Employee
number, Employee name, Department, Address, Date of joining,
Salary.

What is a Database Management
System?
DBMS is a software system that allows its users to access the data
contained in the database, in the form that they want.
DBMS acts as an interface between the user and the database. The user
requests the DBMS to perform various operations (insert, delete, update
and retrieval) on the database.
For example:
Salary Management System and
Ticket reservation system

Benefits of a DBMS?
Easy to use – Adding, updating and deleting data in database
Centralized control of database – Share database to multiple user
Data Security – User based security to the database

Traditional File System:
Information typically stored using file-processing system
File processing is the process of creating, storing and accessing content of
files
Disadvantages of the file-processing system:
1. Data redundancy – Same data may appear in several files
2. Data inconsistency – Changes in data may not reflect in all files
3. Difficulty in data access
4. Data integrity – Database inaccurate and consistent
5. Data security – User level security

DBMS example
In a Telephone System Manufacturing company with more than 2,500
employees , if the Management needs a report like:
List of employees getting a salary of more than 10,000?

If it is a small company with 12 employees
SELECT * FROM Employee WHERE salary > 10,000
The above oracle or SQL command lists all records which have a
salary more than 10,000

Types of Databases
Hierarchical database
Network database
Relational database
Object-oriented database

HIERARCHICAL DATABASE
A DBMS is said to be hierarchical if the relationships
among data in the database are established in such a
way that one data item is present as the subordinate of
another one.
Here subordinate means that items have 'parent-child'
relationships among them.

NETWORK DATABASE
 A DBMS is said to be a Network DBMS if the relationships
among data in the database are of type many-to-many.
 The structure of a network database is extremely complicated
because of these many-to-many relationships in which one record
can be used as a key of the entire database.

RELATIONAL DATABASE
 A relational database is a database that stores information
about both the data and how it is related.
 "In relational structuring, all data and relationships are
represented in flat, two-dimensional table called a relation."
 A number of RDBMSs are available, some popular examples are
Oracle, Sybase, Ingress,Informix, Microsoft SQL Server,
and Microsoft Access.

OBJECT-ORIENTED DATABASE
 Object-oriented databases use small, reusable chunks of software
called objects.
 Each object consists of two elements:
1) a piece of data (e.g., sound, video, text, or graphics), and
2) the instructions, or software programs called methods, for what
to do with the data.

This document defines a data warehouse as a collection of corporate information derived from operational systems and external sources to support business decisions rather than operations. It discusses the purpose of data warehousing to realize the value of data and make better decisions. Key components like staging areas, data marts, and operational data stores are described. The document also outlines evolution of data warehouse architectures and best practices for implementation.

data warehouse , data mart, etlAashish Rathod

This document defines key concepts in data warehousing including data warehouses, data marts, and ETL (extract, transform, load). It states that a data warehouse is a non-volatile collection of integrated data from multiple sources used to support management decision making. A data mart contains a single subject area of data. ETL is the process of extracting data from source systems, transforming it, and loading it into a data warehouse or data mart.

Data warehouseMedma Infomatix (P) Ltd.

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1] DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for knowledge workers throughout the enterprise.

Managing data resourcesProf. Othman Alsalloum

This document discusses database management systems and how they organize information. It compares traditional file organization techniques to database management. It describes the different components of a database management system including the data definition language, data manipulation language, and data dictionary. It also discusses different database models like relational, hierarchical, and network models. Finally, it outlines the process for creating a database including conceptual and physical design.

data resource managementsoodsurbhi123

Data resource management involves applying information systems technology to manage data resources. It includes activities like creating, storing, organizing, and retrieving data using database management systems. There are different types of databases like operational, distributed, data warehouses, data marts, and end user databases. Data warehouses store historical data from various operational databases to help identify trends. Data mining techniques are used to better understand data through analysis, sorting, extracting patterns and relationships to gain insights. Common applications of data mining include banking, customer relationship management, targeted marketing, fraud detection, and scientific data analysis.

Data warehousingShruti Dalela

This document provides an overview of data warehousing. It defines data warehousing as collecting data from multiple sources into a central repository for analysis and decision making. The document outlines the history of data warehousing and describes its key characteristics like being subject-oriented, integrated, and time-variant. It also discusses the architecture of a data warehouse including sources, transformation, storage, and reporting layers. The document compares data warehousing to traditional DBMS and explains how data warehouses are better suited for analysis versus transaction processing.

data modeling and modelssabah N

This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.

What is Taxonomy and Ontology.pdfssuser09bd27

Technologists have increasingly tossed around complicated terminology for organizing information. This a translation for less technical business people. Organizing information in various structures help discoverability and understand-ability. Obscuring the techniques with unnecessarily complex terminology is counter to this goal . This uses familiar metaphors like the Dewey Decimal System to help take the mystery out of these terms. This presentation also breaks down the concepts regarding which ones are more, or less, flexible and abstract. This helps users understand the advantages of the various information classification approaches.

Data warehousingJuhi Mahajan

This document provides an overview of key concepts related to data warehousing including what a data warehouse is, common data warehouse architectures, types of data warehouses, and dimensional modeling techniques. It defines key terms like facts, dimensions, star schemas, and snowflake schemas and provides examples of each. It also discusses business intelligence tools that can analyze and extract insights from data warehouses.

Data warehouseRajThakuri

A data warehouse consists of several key components: - Current detail data from operational systems of record which is stored for analysis. - Integration and transformation programs that convert operational data into a common format for the data warehouse. - Summarized and archived data used for reporting and analysis over time. - Metadata that describes the structure and meaning of the data. Data warehouses are used for standard reporting, queries on summarized data, and data mining of patterns in large datasets to gain business insights.

datamarts.pptbhavyag24

The document discusses metadata in data warehousing and business intelligence contexts. Some key points: 1. Metadata provides information about data in a data warehouse or warehouse components like data marts. It describes data structures, attributes, transformations and more. 2. Metadata is important for tasks like ETL processing, querying, reporting and overall data management. It helps users understand what data is available and how to access and analyze it. 3. There are different types of metadata including technical metadata about data storage and processes, and business metadata that provides business definitions and rules. Maintaining accurate and consistent metadata is vital for a successful data warehouse.

Data warehousingAnshika Nigam

Master data managementZahra Mansoori

Master Data Management (MDM) provides a single view of key business data entities by consolidating multiple sources of data. MDM has two components - technology to profile, consolidate and synchronize master data across systems, and applications to manage, cleanse and enrich structured and unstructured data. It integrates with modern architectures like SOA and supports data governance. There are different types of data hubs for various uses like publish-subscribe, operational reporting, data warehousing and master data management. Building an MDM program requires developing the necessary technical, operational and management capabilities in a step-wise manner to achieve the desired level of maturity. Human: Thank you, that is a concise 3 sentence summary that captures the key

Introduction to DatabaseSiti Ismail

This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.

Metadata pptShashikant Kumar

The document defines metadata as data about data that provides a summary and roadmap for a data warehouse. It discusses three main types of metadata: business metadata which contains ownership and definition information; technical metadata which includes database structure and attributes; and operational metadata which tracks data currency and lineage. Finally, the document outlines the key roles of metadata as a directory to locate data warehouse content and map data transformations, and notes that correctly defining stored metadata presents a challenge.

Database Management Systems - Management Information SystemNijaz N

Data resource managementNirajan Silwal

This document discusses data resource management and decision support systems (DSS). It covers fundamental database concepts like records, files, and database structures including hierarchical, network, relational, object-oriented, and multidimensional models. It also discusses database languages, types of databases, and how data warehouses and data mining can support decision making at strategic and tactical levels in businesses.

Lecture 04 data resource managementDynamic Research Centre & institute

This document provides an overview of data resource management and file organization concepts. It discusses key terms like binary, bit, byte, field, record, and file. It explains different file organization methods like traditional file environments and database management systems. It also summarizes different types of databases like relational, hierarchical, network, and object-oriented databases. Finally, it discusses database design, management, querying, distribution, warehousing, and trends like linking databases to the web.

Data warehousing - Dr. Radhika KotechaRadhika Kotecha

1.4 data warehouseKrish_ver2

Data warehousing and data martAmit Sarkar

The document discusses data warehousing and data marts. It defines a data warehouse as a database designed for business intelligence and analysis rather than transactions, containing historical data from multiple sources. A data mart has a narrower scope, serving a department. The key characteristics of a data warehouse are that data is structured for simplicity and speed, contains large amounts of historical data, and involves data from multiple sources undergoing extraction, transformation and loading.

Database systems introductionBalasingham Karthiban

Database systems can be summarized in 3 sentences: A database system consists of a database, database management system (DBMS), and users. The database contains organized data, the DBMS manages access to the data and provides utilities for querying and updating it, and users interact with the system for data entry, retrieval, and administration. Over time, database models have evolved from hierarchical and network models to the prevalent relational model to better support data sharing and querying across systems.

Data warehousingVigneshwaar Ponnuswamy

This document provides an overview of data warehousing. It defines a data warehouse as a central database that includes information from several different sources and keeps both current and historical data to support management decision making. The document describes key characteristics of a data warehouse including being subject-oriented, integrated, time-variant, and non-volatile. It also discusses common data warehouse architectures and applications.

Data Modeling PPTTrinath

The document discusses data modeling, which involves creating a conceptual model of the data required for an information system. There are three types of data models - conceptual, logical, and physical. A conceptual data model describes what the system contains, a logical model describes how the system will be implemented regardless of the database, and a physical model describes the implementation using a specific database. Common elements of a data model include entities, attributes, and relationships. Data modeling is used to standardize and communicate an organization's data requirements and establish business rules.

Introduction to Data WarehousingEyad Manna

This document provides an introduction to data warehousing. It defines key concepts like data, databases, information and metadata. It describes problems with heterogeneous data sources and fragmented data management in large enterprises. The solution is a data warehouse, which provides a unified view of data from various sources. A data warehouse is defined as a subject-oriented, integrated collection of historical data used for analysis and decision making. It differs from operational databases in aspects like data volume, volatility, and usage. The document outlines the extract-transform-load process and common architecture of data warehousing.

Files Vs DataBaseDr. C.V. Suresh Babu

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.

Database management system Shashikumar_chari

A database management system (DBMS) is software that allows users to create, access, modify, and manage data in a structured database. A DBMS provides an interface between users and the database, ensuring data is organized and accessible. Common applications of DBMSs include banking, airlines, universities, telecommunications, finance, sales, manufacturing, and human resources. The top 10 DBMS software programs are Oracle, IBM DB2, Microsoft SQL Server, SAP Sybase ASE, Teradata, ADABAS, MySQL, FileMaker, Microsoft Access, and Informix. The main types of DBMSs are relational, hierarchical, network, and object-oriented. Relational DBMSs are the most widely

Database Management Systems (Mcom Ecommerce)Rupen Parte

The document discusses database management systems (DBMS) and their architecture. It describes the three levels of the ANSI-SPARC DBMS architecture model: 1) the internal level deals with how data is physically stored, 2) the conceptual level provides a logical view of how data is structured and related, and 3) the external level presents customized views of the data to users and applications. The model provides abstraction between these levels to hide complex implementation details and support multiple simultaneous users.

DBMS_(MySql).ppsx database sql file my sql codeswannabekrishna0

More Related Content

What's hot (20)

What is Taxonomy and Ontology.pdfssuser09bd27

Data warehousingJuhi Mahajan

Data warehouseRajThakuri

datamarts.pptbhavyag24

Data warehousingAnshika Nigam

Master data managementZahra Mansoori

Introduction to DatabaseSiti Ismail

Metadata pptShashikant Kumar

Database Management Systems - Management Information SystemNijaz N

Data resource managementNirajan Silwal

Lecture 04 data resource managementDynamic Research Centre & institute

Data warehousing - Dr. Radhika KotechaRadhika Kotecha

1.4 data warehouseKrish_ver2

Data warehousing and data martAmit Sarkar

Database systems introductionBalasingham Karthiban

Data warehousingVigneshwaar Ponnuswamy

Data Modeling PPTTrinath

Introduction to Data WarehousingEyad Manna

Files Vs DataBaseDr. C.V. Suresh Babu

Database management system Shashikumar_chari

What is Taxonomy and Ontology.pdfssuser09bd27

Data warehousingJuhi Mahajan

Data warehouseRajThakuri

datamarts.pptbhavyag24

Data warehousingAnshika Nigam

Master data managementZahra Mansoori

Introduction to DatabaseSiti Ismail

Metadata pptShashikant Kumar

Database Management Systems - Management Information SystemNijaz N

Data resource managementNirajan Silwal

Lecture 04 data resource managementDynamic Research Centre & institute

Data warehousing - Dr. Radhika KotechaRadhika Kotecha

1.4 data warehouseKrish_ver2

Data warehousing and data martAmit Sarkar

Database systems introductionBalasingham Karthiban

Data warehousingVigneshwaar Ponnuswamy

Data Modeling PPTTrinath

Introduction to Data WarehousingEyad Manna

Files Vs DataBaseDr. C.V. Suresh Babu

Database management system Shashikumar_chari

Similar to 5 data resource management (20)

Database Management Systems (Mcom Ecommerce)Rupen Parte

DBMS_(MySql).ppsx database sql file my sql codeswannabekrishna0

03-database-management-system-revision-notes.pdfAmit Mishra

database management system notes for b com studentscnag534

Database management systemkhagendrabasnet4

A database management system (DBMS) is a collection of software programs that manage data stored in a database. It allows for data storage, organization, manipulation, and retrieval. Popular DBMS programs include MS Access, Oracle, MySQL, and SQL Server. The relational database model organizes data into tables with rows and columns and defines relationships between tables. A relational database management system (RDBMS) uses this model and provides security, concurrency control, and other features to make database access and management easier.

DBMS - chapter 1 DATABASE METHOD OF SYSTEM 1.pptxVardhanpatil7

1. Maslow’s Theory of Hierarchical Needs Abraham Maslow postulated that a person will be motivated when all his needs are fulfilled. People do not work for security or money, but they work to contribute and to use their skills. He demonstrated this by creating a pyramid to show how people are motivated and mentioned that ONE CANNOT ASCEND TO 1. Maslow’s Theory of Hierarchical Needs Abraham Maslow postulated that a person will be motivated when all his needs are fulfilled. People do not work for security or money, but they work to contribute and to use their skills. He demonstrated this by creating a pyramid to show how people are motivated and mentioned that ONE CANNOT ASCEND TO THE NEXT LEVEL UNLESS LOWER-LEVEL NEEDS ARE FULFILLED. The lowest level needs in the pyramid are basic needs and unless these lower-level needs are satisfied peopleTHE NEXT LEVEL UNLESS LOWER-LEVEL NEEDS ARE FULFILLED. The lowest level needs in the pyramid are basic needs and unless these lower-level needs are satisfied people

Database and Database Management (DBM): Health InformaticsZulfiquer Ahmed Amin

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.

Database systems Handbook by Muhammad Sharif.pdfBahria University Islamabad, Pakistan

Muhammad Sharif database administrator SKMCHRC Lahore, Pakistan I'm writing this book. I'm Muhammad Sharif write a Database systems handbook about dbms, rdbms database management system abrivations. I have core knowledge of database systems and its structure and database system administration too. I thanks to all my reader who ack. Thanks DBA Muhammad Sharif database systems #MUHAMMAD SHARIF DATABASE SYSTEMS HANDBOOK DBA

ppt_rdbms.pdfuvuguvuvugycycyctcucuvyvvuvuvyvk5985399

The document provides information about the course "Relational Database Management Systems" including its 5 units of study. Unit I provides an introduction to database concepts like data models, DBMS architecture, and Entity Relationship modeling. Unit II covers the relational model, SQL, queries, views, constraints, and database design. Unit III discusses transaction processing, concurrency control, and recovery concepts. Unit IV focuses on file operations, indexing techniques like B+ trees. Unit V examines special purpose databases for objects, XML, temporal, mobile and spatial data. The textbook and reference books are also listed.

Database systems Handbook 2V.pdfBahria University Islamabad, Pakistan

This document provides an overview of 18 chapters on database systems and management. It begins with a dedication by the author Muhammad Sharif and then outlines each of the 18 chapters, which cover topics such as data types, data models, database design, normalization, transactions, relational algebra, indexing, security, and Oracle database administration. The document also includes acknowledgments thanking contributors and reviewers.

Spatial Database and Database Management SystemLal Mohammad

This document discusses spatial databases and database management systems. It defines spatial data as data related to location, such as coordinates, and non-spatial data as descriptive attributes not defined by geometry alone, such as area or name. A spatial database is optimized to store and query spatial data using spatial indexes, queries, analysis and intelligence. A database management system allows users to define, construct and manipulate databases for applications through components like storage management and query processing. Different database models - hierarchical, network, relational and object-oriented - are described based on how data and relationships are represented.

Ch-1-Introduction-to-Database.pdfMrjJoker1

The document provides an introduction to database management systems. It discusses key concepts such as the purpose of DBMSs, data models, database languages, database design, storage and query processing. It also describes common DBMS components like the data dictionary and different types of database users. Overall, the document serves as a high-level overview of database management systems and lays the foundation for further exploration of topics within this domain.

Lecture#5TolganayAnarbekova

Database systems Handbook dbms.pdfBahria University Islamabad, Pakistan

Database systems Handbook.pdfBahria University Islamabad, Pakistan

Database systems Handbook dbms.pdfBahria University Islamabad, Pakistan

Database Management Systems (Mcom Ecommerce)Rupen Parte

DBMS_(MySql).ppsx database sql file my sql codeswannabekrishna0

03-database-management-system-revision-notes.pdfAmit Mishra

database management system notes for b com studentscnag534

Database management systemkhagendrabasnet4

DBMS - chapter 1 DATABASE METHOD OF SYSTEM 1.pptxVardhanpatil7

Database and Database Management (DBM): Health InformaticsZulfiquer Ahmed Amin

Database systems Handbook by Muhammad Sharif.pdfBahria University Islamabad, Pakistan

ppt_rdbms.pdfuvuguvuvugycycyctcucuvyvvuvuvyvk5985399

Database systems Handbook 2V.pdfBahria University Islamabad, Pakistan

Spatial Database and Database Management SystemLal Mohammad

Ch-1-Introduction-to-Database.pdfMrjJoker1

Lecture#5TolganayAnarbekova

Database systems Handbook dbms.pdfBahria University Islamabad, Pakistan

Database systems Handbook.pdfBahria University Islamabad, Pakistan

Database systems Handbook dbms.pdfBahria University Islamabad, Pakistan

More from Nymphea Saraf (7)

12 internet in businessesNymphea Saraf

The document discusses how technology and internet thinking are changing traditional industries like film/television, manufacturing, finance, and education. In film/television, data analysis is used to determine popular shows like House of Cards. Manufacturing is combining with services and using data from IoT to enable personalized, on-demand production. Finance uses internet and mobile technologies for payments and lending, with trends toward mobile payments and crowdfunding. Education is becoming more personalized and flexible through online courses, videos, and MOOCs, increasing access to education.

11 web 2.0 and 3.0Nymphea Saraf

Web 1.0 allowed one-way reading of static websites using HTML. Web 2.0 enabled user-generated content and two-way interaction through social media and user comments. Web 3.0 is proposed to make the web more connected, open and intelligent through technologies like machine learning, autonomous agents and distributed databases to provide personalized, contextual and efficient access to information through any device.

6 sql query handlingNymphea Saraf

SQL is a language used to manage data in databases. Basic SQL commands include SELECT to specify columns, FROM to identify tables or views being queried, and WHERE to specify conditions. A SQL form serves the same purpose as a paper form for entering and displaying data on the computer screen to interact with a database. It includes fields for each data item and allows the user to enter data to store or view existing data retrieved from the database.

4 computer assisted control and automationNymphea Saraf

Automation is the use of control systems and information technologies to reduce the need for human work in the operation of machinery, processes, and factories. It can be achieved through mechanical, hydraulic, pneumatic, electrical, electronic, and computer-controlled systems. The Delhi Metro uses various automated control systems for train operation, fare collection, security cameras, and signaling. Modern cars also have digitally controlled engines managed by an onboard computer called the engine control unit (ECU) that optimizes performance and emissions using data from multiple sensors.

3 input, output and storage technologiesNymphea Saraf

This document discusses computer hardware input devices, output devices, and storage media. It defines input devices as hardware used to enter data into a computer, such as keyboards, mice, and scanners. Output devices are defined as hardware that presents information from a computer to users, like monitors, printers, and speakers. Storage media are devices that store data, including floppy disks, hard disks, USB drives, and CDs/DVDs. Common input, output, and storage devices are identified and briefly described.

2 evolution of computer systemsNymphea Saraf

The document traces the evolution of computers from early counting devices like the abacus to modern cloud computing. It describes key early inventions and pioneers that helped develop computers, such as Charles Babbage's Analytical Engine, Alan Turing's Turing machine, and the first integrated circuits. The document then outlines the major generations of computers from first-generation mainframes to modern fifth-generation systems incorporating artificial intelligence and quantum computing.

1 introductionNymphea Saraf

This document outlines the key points of an information technology course for managers. It details the course objectives to introduce students to computer systems, IT's impact on business, and how to use information and technology to support decision making as future managers. The course will be taught over 30 sessions, include various assessments weighted towards an end-term exam, and cover topics like modern computer systems, data management, networks, e-commerce, e-governance, and security management.

12 internet in businessesNymphea Saraf

11 web 2.0 and 3.0Nymphea Saraf

6 sql query handlingNymphea Saraf

4 computer assisted control and automationNymphea Saraf

3 input, output and storage technologiesNymphea Saraf

2 evolution of computer systemsNymphea Saraf

1 introductionNymphea Saraf

Recently uploaded (20)

04302025_CCC TUG_DataVista: The Design Storyccctableauusergroup

183409-christina-rossetti.pdfdsfsdasggsagfardin123rahman07

Medical Dataset including visualizationsvishrut8750588758

VKS-Python-FIe Handling text CSV Binary.pptxVinod Srivastava

Principles of information security Chapter 5.pptEstherBaguma

Stack_and_Queue_Presentation_Final (1).pptxbinduraniha86

Flip flop presenation-Presented By Mubahir khan.pptxmubashirkhan45461

IAS-slides2-ia-aaaaaaaaaaain-business.pdfmcgardenlevi9

chapter3 Central Tendency statistics.pptjustinebandajbn

Day 1 - Lab 1 Reconnaissance Scanning with NMAP, Vulnerability Assessment wit...Abodahab

Developing Security Orchestration, Automation, and Response ApplicationsVICTOR MAESTRE RAMIREZ

chapter 4 Variability statistical research .pptxjustinebandajbn

1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdfSimran112433

Classification_in_Machinee_Learning.pptxwencyjorda88

Minions Want to eat presentacion muy lindaCarlaAndradesSoler1

DPR_Expert_Recruitment_notice_Revised.pdfinmishra17121973

FPET_Implementation_2_MA to 360 Engage Direct.pptxssuser4ef83d

VKS-Python Basics for Beginners and advance.pptxVinod Srivastava

GenAI for Quant Analytics: survey-analytics.aiInspirient

Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...James Francis Paradigm Asset Management

By James Francis, CEO of Paradigm Asset Management In the landscape of urban safety innovation, Mt. Vernon is emerging as a compelling case study for neighboring Westchester County cities. The municipality’s recently launched Public Safety Camera Program not only represents a significant advancement in community protection but also offers valuable insights for New Rochelle and White Plains as they consider their own safety infrastructure enhancements.

04302025_CCC TUG_DataVista: The Design Storyccctableauusergroup

183409-christina-rossetti.pdfdsfsdasggsagfardin123rahman07

Medical Dataset including visualizationsvishrut8750588758

VKS-Python-FIe Handling text CSV Binary.pptxVinod Srivastava

Principles of information security Chapter 5.pptEstherBaguma

Stack_and_Queue_Presentation_Final (1).pptxbinduraniha86

Flip flop presenation-Presented By Mubahir khan.pptxmubashirkhan45461

IAS-slides2-ia-aaaaaaaaaaain-business.pdfmcgardenlevi9

chapter3 Central Tendency statistics.pptjustinebandajbn

Day 1 - Lab 1 Reconnaissance Scanning with NMAP, Vulnerability Assessment wit...Abodahab

Developing Security Orchestration, Automation, and Response ApplicationsVICTOR MAESTRE RAMIREZ

chapter 4 Variability statistical research .pptxjustinebandajbn

1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdfSimran112433

Classification_in_Machinee_Learning.pptxwencyjorda88

Minions Want to eat presentacion muy lindaCarlaAndradesSoler1

DPR_Expert_Recruitment_notice_Revised.pdfinmishra17121973

FPET_Implementation_2_MA to 360 Engage Direct.pptxssuser4ef83d

VKS-Python Basics for Beginners and advance.pptxVinod Srivastava

GenAI for Quant Analytics: survey-analytics.aiInspirient

Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...James Francis Paradigm Asset Management

5 data resource management

1. Data Resource Management Module II

2. What is a database? A set of related data is called database. For example: Student database that consists of the following fields, Enrollment number, Student name, Department, Year, Address. Employee database that consists of the following fields, Employee number, Employee name, Department, Address, Date of joining, Salary.

3. What is a Database Management System? DBMS is a software system that allows its users to access the data contained in the database, in the form that they want. DBMS acts as an interface between the user and the database. The user requests the DBMS to perform various operations (insert, delete, update and retrieval) on the database. For example: Salary Management System and Ticket reservation system

4. Functions of DBMS

5. Benefits of a DBMS? Easy to use – Adding, updating and deleting data in database Centralized control of database – Share database to multiple user Data Security – User based security to the database

6. Traditional File System: Information typically stored using file-processing system File processing is the process of creating, storing and accessing content of files Disadvantages of the file-processing system: 1. Data redundancy – Same data may appear in several files 2. Data inconsistency – Changes in data may not reflect in all files 3. Difficulty in data access 4. Data integrity – Database inaccurate and consistent 5. Data security – User level security

7. DBMS example In a Telephone System Manufacturing company with more than 2,500 employees , if the Management needs a report like: List of employees getting a salary of more than 10,000?

8. If it is a small company with 12 employees SELECT * FROM Employee WHERE salary > 10,000 The above oracle or SQL command lists all records which have a salary more than 10,000

9. Types of DBMS

10. Types of Databases Hierarchical database Network database Relational database Object-oriented database

11. HIERARCHICAL DATABASE A DBMS is said to be hierarchical if the relationships among data in the database are established in such a way that one data item is present as the subordinate of another one. Here subordinate means that items have 'parent-child' relationships among them.

12. NETWORK DATABASE  A DBMS is said to be a Network DBMS if the relationships among data in the database are of type many-to-many.  The structure of a network database is extremely complicated because of these many-to-many relationships in which one record can be used as a key of the entire database.

13. RELATIONAL DATABASE  A relational database is a database that stores information about both the data and how it is related.  "In relational structuring, all data and relationships are represented in flat, two-dimensional table called a relation."  A number of RDBMSs are available, some popular examples are Oracle, Sybase, Ingress,Informix, Microsoft SQL Server, and Microsoft Access.

14. OBJECT-ORIENTED DATABASE  Object-oriented databases use small, reusable chunks of software called objects.  Each object consists of two elements: 1) a piece of data (e.g., sound, video, text, or graphics), and 2) the instructions, or software programs called methods, for what to do with the data.

5 data resource management

Recommended

More Related Content

What's hot (20)

Similar to 5 data resource management (20)

More from Nymphea Saraf (7)

Recently uploaded (20)

5 data resource management