Database Systems - Introduction to Database Design (Chapter 4/1)
•
3 likes•1,465 views
This document discusses database design techniques and includes the following key points: - It introduces database design approaches, which include bottom-up and top-down design. These differ in whether they start with attributes or entity relationships. - The three phases of database design are discussed: conceptual, which focuses on user requirements; logical, which develops the data model; and physical, which includes implementation details. - Other topics covered include data modeling, entity relationship modeling, normalization, and the importance of proper database design for application performance, extensibility, data integrity and security.
Report
Share
Report
Share
Download to read offline
Recommended
INTRODUCTION TO DATABASE
This document discusses database concepts and architecture. It covers data models including conceptual, physical and implementation models. It discusses the history of relational, network and hierarchical data models. It also covers the three-level database architecture including the external, conceptual and internal schemas. The architecture supports logical and physical data independence. The document discusses database languages like DDL and DML and different database interfaces and systems.
TID Chapter 10 Introduction To Database
The document discusses database concepts including:
1. The relationship between data and information and how computers process data into meaningful information.
2. What a database is and how it allows users to organize, access, and use data through database management systems.
3. The process of conceptual and physical database design including entity-relationship modeling and normalization.
Database Design Process
The document discusses the MySQL database design process. It covers defining keys to uniquely identify records, the different types of table relationships including one-to-one, one-to-many, and many-to-many, and the process of normalization to minimize duplication and inconsistencies. The three main levels of normalization discussed are first, second, and third normal forms, each with their own rules. Following proper database design, normalization, and defining relationships between tables is important for ensuring an efficient, flexible, and maintainable database structure.
Database management systems
The document provides an introduction to database management systems and their components. It discusses that a database is a collection of related data representing some aspect of the real world. A database management system (DBMS) allows users to define, construct, manipulate and share databases. The key functions of a DBMS include data definition, data storage, data manipulation such as querying and updating, and sharing data among multiple users. The document also provides examples of database systems and their typical components such as utilities, tools, and centralized and client/server architectures.
Intro to Database Design
No matches found
What is C A on DOB = Appt Date?
Clients Appointments
Joins
Service Appt Date
Nails 5/1/2013
Hair 7/5/2013
Hair 9/1/2013
Name Phone Address DOB
Anna 215-123-4567 123 City
Lane
8/14/1995
Nathan 267-333-4444 999 Oak
Blvd
6/1/1998
What is C A on DOB = Appt Date ?
Clients Appointments
second iteration: find every appointment with an Appt Date of 6/1/1998
Joins
Service Appt Date
Nails 5/1/2013
Dbms
The document provides an overview of database systems and their components. It discusses:
- The purpose of database systems is to provide solutions to problems with using file systems like data redundancy, difficulty of accessing data, and lack of integrity and security.
- Database systems include a collection of interrelated data, a set of programs to access the data called a database management system (DBMS), and database applications in domains like banking, airlines, education and more.
- Key components of database systems include data models, data definition and manipulation languages, transaction management, storage management, database administrators, and database users. The overall system has physical, logical and view levels of abstraction.
Fundamentals of Database Design
This document provides an overview of fundamentals of database design. It discusses what a database is, the difference between data and information, and the purpose of database systems. It also covers database definitions and fundamental building blocks like tables and records. Additionally, the document discusses selecting an appropriate database system, database development steps, and considerations for quality control and data entry.
introduction to database
This document provides an introduction to databases including:
- It defines what a database is and how data is organized into tables with rows and columns.
- It discusses some common database management systems like Microsoft Access, MySQL, and SQL Server.
- It outlines some key components of a database management system environment including hardware, software, data, procedures, and people.
- It also briefly mentions some potential disadvantages of database management systems like complexity, size, costs, and performance issues.
Recommended
INTRODUCTION TO DATABASE
This document discusses database concepts and architecture. It covers data models including conceptual, physical and implementation models. It discusses the history of relational, network and hierarchical data models. It also covers the three-level database architecture including the external, conceptual and internal schemas. The architecture supports logical and physical data independence. The document discusses database languages like DDL and DML and different database interfaces and systems.
TID Chapter 10 Introduction To Database
The document discusses database concepts including:
1. The relationship between data and information and how computers process data into meaningful information.
2. What a database is and how it allows users to organize, access, and use data through database management systems.
3. The process of conceptual and physical database design including entity-relationship modeling and normalization.
Database Design Process
The document discusses the MySQL database design process. It covers defining keys to uniquely identify records, the different types of table relationships including one-to-one, one-to-many, and many-to-many, and the process of normalization to minimize duplication and inconsistencies. The three main levels of normalization discussed are first, second, and third normal forms, each with their own rules. Following proper database design, normalization, and defining relationships between tables is important for ensuring an efficient, flexible, and maintainable database structure.
Database management systems
The document provides an introduction to database management systems and their components. It discusses that a database is a collection of related data representing some aspect of the real world. A database management system (DBMS) allows users to define, construct, manipulate and share databases. The key functions of a DBMS include data definition, data storage, data manipulation such as querying and updating, and sharing data among multiple users. The document also provides examples of database systems and their typical components such as utilities, tools, and centralized and client/server architectures.
Intro to Database Design
No matches found
What is C A on DOB = Appt Date?
Clients Appointments
Joins
Service Appt Date
Nails 5/1/2013
Hair 7/5/2013
Hair 9/1/2013
Name Phone Address DOB
Anna 215-123-4567 123 City
Lane
8/14/1995
Nathan 267-333-4444 999 Oak
Blvd
6/1/1998
What is C A on DOB = Appt Date ?
Clients Appointments
second iteration: find every appointment with an Appt Date of 6/1/1998
Joins
Service Appt Date
Nails 5/1/2013
Dbms
The document provides an overview of database systems and their components. It discusses:
- The purpose of database systems is to provide solutions to problems with using file systems like data redundancy, difficulty of accessing data, and lack of integrity and security.
- Database systems include a collection of interrelated data, a set of programs to access the data called a database management system (DBMS), and database applications in domains like banking, airlines, education and more.
- Key components of database systems include data models, data definition and manipulation languages, transaction management, storage management, database administrators, and database users. The overall system has physical, logical and view levels of abstraction.
Fundamentals of Database Design
This document provides an overview of fundamentals of database design. It discusses what a database is, the difference between data and information, and the purpose of database systems. It also covers database definitions and fundamental building blocks like tables and records. Additionally, the document discusses selecting an appropriate database system, database development steps, and considerations for quality control and data entry.
introduction to database
This document provides an introduction to databases including:
- It defines what a database is and how data is organized into tables with rows and columns.
- It discusses some common database management systems like Microsoft Access, MySQL, and SQL Server.
- It outlines some key components of a database management system environment including hardware, software, data, procedures, and people.
- It also briefly mentions some potential disadvantages of database management systems like complexity, size, costs, and performance issues.
Presentation of DBMS (database management system) part 1
This slide consist of Introduction of DBMS.
Topics are
What is DBMS ? Data Items & Records.
Reasons for using DBMS?
Introduction to DBMS(For College Seminars)
This presentation provides an overview of database management systems. It discusses what a database and DBMS are, and covers data models like relational, network, and hierarchical. It also discusses database concepts like data abstraction, views, keys, and advantages of using a DBMS like data independence and sharing data. The goal is to explain core DBMS concepts at a high level.
Database Presentation
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
Advanced Database Lecture Notes
The document discusses various topics related to physical database design including:
1. Primary indexes provide direct access to records in a data file based on the primary key.
2. Clustering indexes order records in a data file based on a non-key field to improve performance of range queries on that field.
3. Secondary indexes provide an alternative means of accessing records in a data file through a secondary field, and include the field value and a pointer to the record.
Unit 01 dbms
The document provides an overview of key concepts in database management systems including:
- The benefits of using a DBMS over file systems such as data independence, data integrity, and concurrent access.
- The three levels of abstraction in a DBMS - physical, logical, and view level.
- Common data models including relational, entity-relationship, and object-oriented models.
- Database languages including data manipulation languages (DML) like SQL and data definition languages (DDL) to define schemas.
- Key components of a DBMS including storage management, query processing, and transaction management.
- Roles of database users and administrators.
Database Design
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.
Physical database design(database)
The document discusses physical database design, including:
- Designing fields by choosing data types, coding techniques, and controlling data integrity.
- Denormalizing relations through joining tables or data replication to improve processing speed at the cost of storage space and integrity.
- Organizing physical files through sequential, indexed, or hashed arrangements and using indexes to efficiently locate records.
- Database architectures including legacy systems, current technologies, and data warehouses.
Types of databases
Here I describe How many Types in Database management System. I also tell about advantage and disadvantage of those types
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
In this PPT, you will learn:
• About data modeling and why data models are important
• About the basic data-modeling building blocks
• What business rules are and how they influence database design
• How the major data models evolved
• About emerging alternative data models and the needs they fulfill
• How data models can be classified by their level of abstraction
Author: Carlos Coronel | Steven Morris
Basic Concept of Database
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
Assignment on dbms
The document discusses Amrapali Institute and provides an overview of its database management system course, including:
- The purpose of a database system and advantages of using a DBMS.
- Key concepts covered in the course like data manipulation languages, SQL, data models, database administrators, and database users.
- Examples of database applications in various domains like banking, airlines, universities, sales, manufacturing, and human resources.
- The role of the database administrator in coordinating the database system and defining the schema and user access permissions.
DBMS CONCEPT
This document provides an overview of database system concepts and architecture. It discusses data models, the three-schema architecture with conceptual, internal, and external schemas. It also describes database languages and interfaces, DBMS components and services, common architectures like client-server, and classifications of DBMSs.
Database Systems Introduction (INTD-3535)
This document provides an introduction and overview of database systems. It defines what a database is and some common database models like relational databases. It describes some common applications of database systems like database management systems and database-driven websites. It also briefly discusses how the author gathered information about database systems through online searches and a general library webpage.
Relational database management system (rdbms) i
This document provides an overview of file systems and databases. It discusses the traditional method of data storage using file systems and some of the problems with that approach, such as data redundancy, security issues, and concurrent access anomalies. The document then introduces database management systems (DBMS) as a solution, highlighting advantages like controlling redundancy, enforcing integrity constraints, better security and flexibility, effective data sharing, and enabling backup and recovery. It also compares operations in file systems versus DBMS.
Introduction to Database
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.
Database Management Systems 1
This document provides an overview of database management systems and the relational database model. It defines what data is, discusses the limitations of traditional file-based data storage, and describes how databases address these issues. The key aspects covered include the four main types of database management system approaches - hierarchical, network, relational, and object-oriented. Relational databases are identified as the preferred approach, with tables containing records made up of fields and attributes being the primary components.
DBMS and its Models
The document discusses database management systems and data modeling. It begins by defining key terms like data, databases, database management systems, and data models. It then provides a brief history of database development from the 1960s to the 1980s. The rest of the document discusses database concepts in more detail, including components of a DBMS, types of database users, database administration responsibilities, data modeling techniques, and the evolution of different data models.
Database an introduction
The document provides an introduction and overview of databases. It defines what a database is, distinguishes between data and information, and explains the purpose of database systems. It describes different types of databases, considerations for selecting a database management system, and key database concepts such as fields, records, tables, and relationships. The document also discusses quality control and includes an agenda for hands-on practice with database concepts and functions in Microsoft Access.
Database system concepts
This document defines basic database terminology and concepts. It describes key terms like database, tables, fields, records, cells, and objects. It also explains the differences between a database instance and schema. Additionally, it outlines the three schema architecture and how it provides data independence. Finally, it briefly discusses database system components, interfaces, utilities, and classification.
Advisor Tools Presentation
The document discusses a new practice management software called Advisor Tools that aims to help financial advisors more efficiently manage their businesses. It highlights six key modules: Time Manager, Contact Manager, Sales Manager, Review Manager, Marketing Manager, and Portfolio Manager. These modules allow advisors to better organize schedules, clients, sales opportunities, reviews, marketing, and client portfolios. The software integrates these tools into a single system and also offers additional enhanced services. It encourages advisors to try the free edition of the software.
Ais Romney 2006 Slides 15 Database Design Using The Rea
The document discusses the steps for designing a database using the REA (Resources, Events, Agents) data model. It describes the three steps to develop an REA diagram: 1) identify relevant events, 2) identify resources and agents, and 3) determine relationships. It provides an example of modeling the revenue cycle, identifying sale and receive cash as the key events that represent the economic exchange, and take order as another relevant event.
Utsav Mahendra : Introduction to Database and managemnet
This document provides an overview of database design and management. It discusses what a database management system (DBMS) is and its primary goals of storing and retrieving data. It also describes some common database applications and compares file systems to DBMSs. The document outlines different views of data including data abstraction, instances, and schemas. It introduces several data models including the entity-relationship model and relational model. Finally, it discusses database languages, users, and the role of the database administrator.
More Related Content
What's hot
Presentation of DBMS (database management system) part 1
This slide consist of Introduction of DBMS.
Topics are
What is DBMS ? Data Items & Records.
Reasons for using DBMS?
Introduction to DBMS(For College Seminars)
This presentation provides an overview of database management systems. It discusses what a database and DBMS are, and covers data models like relational, network, and hierarchical. It also discusses database concepts like data abstraction, views, keys, and advantages of using a DBMS like data independence and sharing data. The goal is to explain core DBMS concepts at a high level.
Database Presentation
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
Advanced Database Lecture Notes
The document discusses various topics related to physical database design including:
1. Primary indexes provide direct access to records in a data file based on the primary key.
2. Clustering indexes order records in a data file based on a non-key field to improve performance of range queries on that field.
3. Secondary indexes provide an alternative means of accessing records in a data file through a secondary field, and include the field value and a pointer to the record.
Unit 01 dbms
The document provides an overview of key concepts in database management systems including:
- The benefits of using a DBMS over file systems such as data independence, data integrity, and concurrent access.
- The three levels of abstraction in a DBMS - physical, logical, and view level.
- Common data models including relational, entity-relationship, and object-oriented models.
- Database languages including data manipulation languages (DML) like SQL and data definition languages (DDL) to define schemas.
- Key components of a DBMS including storage management, query processing, and transaction management.
- Roles of database users and administrators.
Database Design
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.
Physical database design(database)
The document discusses physical database design, including:
- Designing fields by choosing data types, coding techniques, and controlling data integrity.
- Denormalizing relations through joining tables or data replication to improve processing speed at the cost of storage space and integrity.
- Organizing physical files through sequential, indexed, or hashed arrangements and using indexes to efficiently locate records.
- Database architectures including legacy systems, current technologies, and data warehouses.
Types of databases
Here I describe How many Types in Database management System. I also tell about advantage and disadvantage of those types
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
In this PPT, you will learn:
• About data modeling and why data models are important
• About the basic data-modeling building blocks
• What business rules are and how they influence database design
• How the major data models evolved
• About emerging alternative data models and the needs they fulfill
• How data models can be classified by their level of abstraction
Author: Carlos Coronel | Steven Morris
Basic Concept of Database
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
Assignment on dbms
The document discusses Amrapali Institute and provides an overview of its database management system course, including:
- The purpose of a database system and advantages of using a DBMS.
- Key concepts covered in the course like data manipulation languages, SQL, data models, database administrators, and database users.
- Examples of database applications in various domains like banking, airlines, universities, sales, manufacturing, and human resources.
- The role of the database administrator in coordinating the database system and defining the schema and user access permissions.
DBMS CONCEPT
This document provides an overview of database system concepts and architecture. It discusses data models, the three-schema architecture with conceptual, internal, and external schemas. It also describes database languages and interfaces, DBMS components and services, common architectures like client-server, and classifications of DBMSs.
Database Systems Introduction (INTD-3535)
This document provides an introduction and overview of database systems. It defines what a database is and some common database models like relational databases. It describes some common applications of database systems like database management systems and database-driven websites. It also briefly discusses how the author gathered information about database systems through online searches and a general library webpage.
Relational database management system (rdbms) i
This document provides an overview of file systems and databases. It discusses the traditional method of data storage using file systems and some of the problems with that approach, such as data redundancy, security issues, and concurrent access anomalies. The document then introduces database management systems (DBMS) as a solution, highlighting advantages like controlling redundancy, enforcing integrity constraints, better security and flexibility, effective data sharing, and enabling backup and recovery. It also compares operations in file systems versus DBMS.
Introduction to Database
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.
Database Management Systems 1
This document provides an overview of database management systems and the relational database model. It defines what data is, discusses the limitations of traditional file-based data storage, and describes how databases address these issues. The key aspects covered include the four main types of database management system approaches - hierarchical, network, relational, and object-oriented. Relational databases are identified as the preferred approach, with tables containing records made up of fields and attributes being the primary components.
DBMS and its Models
The document discusses database management systems and data modeling. It begins by defining key terms like data, databases, database management systems, and data models. It then provides a brief history of database development from the 1960s to the 1980s. The rest of the document discusses database concepts in more detail, including components of a DBMS, types of database users, database administration responsibilities, data modeling techniques, and the evolution of different data models.
Database an introduction
The document provides an introduction and overview of databases. It defines what a database is, distinguishes between data and information, and explains the purpose of database systems. It describes different types of databases, considerations for selecting a database management system, and key database concepts such as fields, records, tables, and relationships. The document also discusses quality control and includes an agenda for hands-on practice with database concepts and functions in Microsoft Access.
Database system concepts
This document defines basic database terminology and concepts. It describes key terms like database, tables, fields, records, cells, and objects. It also explains the differences between a database instance and schema. Additionally, it outlines the three schema architecture and how it provides data independence. Finally, it briefly discusses database system components, interfaces, utilities, and classification.
What's hot (19)
Presentation of DBMS (database management system) part 1
Presentation of DBMS (database management system) part 1
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]
Viewers also liked
Advisor Tools Presentation
The document discusses a new practice management software called Advisor Tools that aims to help financial advisors more efficiently manage their businesses. It highlights six key modules: Time Manager, Contact Manager, Sales Manager, Review Manager, Marketing Manager, and Portfolio Manager. These modules allow advisors to better organize schedules, clients, sales opportunities, reviews, marketing, and client portfolios. The software integrates these tools into a single system and also offers additional enhanced services. It encourages advisors to try the free edition of the software.
Ais Romney 2006 Slides 15 Database Design Using The Rea
The document discusses the steps for designing a database using the REA (Resources, Events, Agents) data model. It describes the three steps to develop an REA diagram: 1) identify relevant events, 2) identify resources and agents, and 3) determine relationships. It provides an example of modeling the revenue cycle, identifying sale and receive cash as the key events that represent the economic exchange, and take order as another relevant event.
Utsav Mahendra : Introduction to Database and managemnet
This document provides an overview of database design and management. It discusses what a database management system (DBMS) is and its primary goals of storing and retrieving data. It also describes some common database applications and compares file systems to DBMSs. The document outlines different views of data including data abstraction, instances, and schemas. It introduces several data models including the entity-relationship model and relational model. Finally, it discusses database languages, users, and the role of the database administrator.
Database design concept
The document discusses conceptual database design. It describes conceptual design as involving two parallel activities: conceptual schema design and transaction/application design. The conceptual schema design focuses on describing entities, data types, relationships and constraints independent of any specific database management system (DBMS). It aims to completely understand the database structure, meaning, and interrelationships. The conceptual schema provides a valuable high-level description of the database that should not be affected by choices of DBMS or data decisions. Common approaches to conceptual schema design include the centralized approach that merges all user requirements into a single schema, and the view integration approach that designs schemas for each user group and then combines them. Top-down, bottom-up, and mixed strategies can be used for
Database design
The document discusses the entity-relationship (ER) model for conceptual database design. It describes the basic constructs of the ER model including entities, attributes, relationships, keys, and various modeling choices. The ER model is useful for capturing the semantics of an application domain and producing a conceptual schema before logical and physical design.
Normalization
Normal forms
First Normal Form(1NF)
Second Normal Form(2NF)
Third Normal Form(3NF)
BCNF
4NF
5NF
Logical database design and the relational model(database)
The document discusses logical database design and the relational model, including transforming entity-relationship diagrams into relations through a process called normalization to eliminate data anomalies and achieve well-structured relations. It defines the relational data model, explains how to map entities and relationships to tables, and covers the three normal forms to validate and improve table structure through analysis of functional dependencies between attributes.
Logical design vs physical design
The document discusses the physical and logical design aspects of system design. Physical design involves graphical representation of internal and external system entities and data flows. It includes user interface, data, and process design to specify how data is input, processed and output. Logical design provides an abstract representation of system processes and data flows using models and diagrams to describe what tasks the system performs without specifying how.
User Interface Design
This document provides an overview and outline of the key topics that will be covered in Chapter 9, which includes principles for user interface design, the user interface design process, and components of navigation, input, and output design. The chapter will discuss fundamental design principles like layout, content awareness, aesthetics, consistency and minimizing user effort. It will also cover the five-step user interface design process of use scenario development, structure design, standards design, prototyping and evaluation.
Relational Database Design - Lecture 4 - Introduction to Databases (1007156ANR)
This document discusses relational database design and normalization. It outlines two major design approaches: top-down design which develops a conceptual model like an ER diagram and maps it to relational schemas, and bottom-up design which uses normalization to iteratively decompose relations. The document then describes how to map different ER model concepts like entities, attributes, and relationships to relational schemas. It also discusses functional dependencies, normalization forms, and how normalization can be used to remove redundancies and anomalies from relational schemas.
Viewers also liked (11)
Ais Romney 2006 Slides 15 Database Design Using The Rea
Ais Romney 2006 Slides 15 Database Design Using The Rea
Utsav Mahendra : Introduction to Database and managemnet
Utsav Mahendra : Introduction to Database and managemnet
Logical database design and the relational model(database)
Logical database design and the relational model(database)
Relational Database Design - Lecture 4 - Introduction to Databases (1007156ANR)
Relational Database Design - Lecture 4 - Introduction to Databases (1007156ANR)
Similar to Database Systems - Introduction to Database Design (Chapter 4/1)
Development Lifecycle
The document discusses the database system development lifecycle. It notes that 80-90% of database projects do not meet performance goals and are often late and over budget. Reasons for failure include a lack of complete requirements specification, inappropriate development methodology, and poor system decomposition. The solution is to follow a structured approach like the Information Systems Lifecycle, Software Development Lifecycle, or Database System Development Lifecycle. Key stages of the Database System Development Lifecycle include planning, definition, requirements collection, design, prototyping, implementation, data conversion, testing, and operational maintenance.
oracle
The document discusses database fundamentals and provides an overview of key concepts including:
- The objectives of learning about database systems and their basic components
- An introduction to Entity Relationship (ER) modeling for conceptual database design
- The different types of database systems including relational, hierarchical, network, and object-oriented
- How to create a database environment using ER modeling to design the structure and relationships of data
An Introduction To Software Development - Architecture & Detailed Design
This document discusses software design and architecture. It covers the architectural design phase, which provides the highest-level overview of a system's main components and relationships between components. The detailed design phase then decomposes components into finer detail. The document also discusses software architectural styles like MVC and layered architectures. It explains how to do a functional decomposition and modular decomposition for detailed design. Finally, it covers relational database design and the four phases of representing and storing data in a database efficiently.
CS3270 - DATABASE SYSTEM - Lecture (1)
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
Discuss the concept of strategic business–IT alignment and how it .docx
The document discusses conceptual, logical, and physical database design. It outlines the steps in the database design methodology, including building a conceptual data model, logical data model, and physical database design. The conceptual design phase involves identifying entities, relationships, attributes, and validating the model. The logical design phase maps the conceptual model to a logical model and validates relations. The physical design phase implements the logical structure in the target DBMS by designing base relations, file organizations, indexes, and user views.
Database Management Systems 2
The document discusses the database development life cycle (DBLC), which follows a similar process to the systems development life cycle (SDLC). The DBLC involves gathering requirements, database analysis, design, implementation, testing and evaluation, and maintenance. It describes each stage in detail, including conceptual, logical, and physical data modeling during the design stage. The goal is to systematically plan and develop a database to meet requirements while ensuring completeness, integrity, flexibility, and usability.
Database_Design.ppt
This chapter discusses database design and the systems development life cycle (SDLC). It explains that the SDLC traces the development of an information system through planning, analysis, design, implementation, and maintenance phases. Within the information system, the database life cycle (DBLC) describes the development of the database through initial study, design, implementation, testing, operation, and maintenance phases. The chapter also covers topics of conceptual database design, logical design, and physical design.
Database design
This document discusses database design and the systems development life cycle (SDLC). It explains that the SDLC traces the history of an information system through planning, analysis, design, implementation, and maintenance phases. Within the information system, the database life cycle (DBLC) describes the history of the database through initial study, design, implementation, testing, operation, and maintenance/evolution phases. The chapter also covers conceptual database design strategies like top-down vs. bottom-up and centralized vs. decentralized design.
Introduction to Database Management Systems (DBMS)
Database means collection of inter-related data and relationships among those data. dbms means set of programs to access those data. The structure of dbms contains two components, They query processor and storage manager.
unit 1.pdf
Attributes are properties or characteristics that describe entities. In the EMPLOYEE entity example, attributes could include:
- Employee ID
- Name
- Date of birth
- Address
- Salary
These attributes describe and provide information about each employee entity instance. Attributes help define and differentiate entity instances from each other.
PHP/MySQL First Session Material
This document provides an outline for a course on databases and database users. It introduces key concepts about databases including what a database is, database properties, database management systems, actors involved with databases like administrators and designers, advantages of databases over file systems, and common database applications. The outline covers topics that will be taught like introduction to PHP and MySQL, how to code applications with databases, and how to perform common tasks with databases.
chapter5-220725172250-dc425eb2.pdf
Data development involves analyzing, designing, implementing, deploying, and maintaining data solutions to maximize the value of enterprise data. It includes defining data requirements, designing data components like databases and reports, and implementing these components. Effective data development requires collaboration between business experts, data architects, analysts, developers and other roles. The activities of data development follow the system development lifecycle and include data modeling, analysis, design, implementation, and maintenance.
Chapter 5: Data Development
The document discusses data development and data modeling concepts. It describes data development as defining data requirements, designing data solutions, and implementing components like databases, reports, and interfaces. Effective data development requires collaboration between business experts, data architects, analysts and developers. It also outlines the key activities in data modeling including analyzing information needs, developing conceptual, logical and physical data models, designing databases and information products, and implementing and testing the data solution.
Methodology - Conceptual Database Design Transparencies .pptx
The chapter discusses the methodology for conceptual database design. It describes the three phases of database design: conceptual, logical, and physical design. For conceptual design, it involves building a local conceptual data model for each user view by identifying entities, relationships, attributes, domains, and keys. The model is then validated against user transactions and reviewed with the user. Logical design maps the conceptual model to a data model like relational and validates it. Physical design implements the database on storage. The methodology provides steps to guide this process.
Management information system database management
The document discusses database management and related concepts. It defines database management as applying information systems technologies to manage an organization's data resources to meet business needs. It describes different database structures like hierarchical, network, relational, and object-oriented. It also discusses database development processes like conceptual design, entity-relationship modeling, normalization, and implementation. Data warehousing and data mining are also summarized.
Database development progress(database)
The document discusses the database development process, including conceptual data modeling using entity-relationship diagrams, logical and physical database design, and implementation using SQL. It also covers information systems architecture and planning, involving developing an enterprise data model and process decomposition. The prototyping and system development life cycle approaches to database development are presented, as well as the roles of various people involved. Finally, it describes the three-schema database architecture separating conceptual, external and internal schemas, and the three-tiered database location architecture separating presentation, process and data tiers.
02 - DatabaseConcepts.pdf
This document provides an overview of database systems and concepts. It discusses how a database management system (DBMS) stores and manages data, defines various DBMS functions like security management and query languages, and describes different approaches to database development like the systems development life cycle and prototyping. It also explains the three schema architecture including the external, conceptual, and internal schemas and different levels of data abstraction.
Unit 1: Introduction to DBMS Unit 1 Complete
This document discusses database management systems (DBMS) and their advantages over traditional file-based data storage. It describes the key components of a DBMS, including the hardware, software, data, procedures, and users. It also explains the three levels of abstraction in a DBMS - the physical level, logical level, and view level - and how they provide data independence. Finally, it provides an overview of different data models like hierarchical, network, and relational models.
Week 1 and 2 Getting started with DBMS.pptx
This document provides an introduction and orientation to the IM 101 Fundamentals of Database Systems course. It includes sections on the course description, topics, references, schedule, requirements, rules, expectations, and student profile information. The course will cover fundamentals of database systems including introductions to databases and transactions, data models, database design, relational algebra, and more. It will meet on Saturdays from 7-9 AM for lecture and 9 AM-12 PM for laboratory. Students will be graded based on performance, exams, quizzes, projects, and participation.
Notes of DBMS Introduction to Database Design
This document outlines the six steps of database design: requirements analysis, conceptual design, logical design, schema refinement, physical design, and application/security design. It describes each step in detail. Requirements analysis involves understanding user needs. Conceptual design models the data using an entity-relationship diagram. Logical design maps the conceptual model to a relational schema. Schema refinement improves normalization. Physical design optimizes performance. Application/security design specifies user roles and access permissions.
Similar to Database Systems - Introduction to Database Design (Chapter 4/1) (20)
An Introduction To Software Development - Architecture & Detailed Design
An Introduction To Software Development - Architecture & Detailed Design
Discuss the concept of strategic business–IT alignment and how it .docx
Discuss the concept of strategic business–IT alignment and how it .docx
Introduction to Database Management Systems (DBMS)
Introduction to Database Management Systems (DBMS)
Methodology - Conceptual Database Design Transparencies .pptx
Methodology - Conceptual Database Design Transparencies .pptx
More from Vidyasagar Mundroy
Database Systems - Normalization of Relations(Chapter 4/3)
The document discusses normalization, which is a process for relational database design that reduces data redundancy and improves data integrity. It involves decomposing relations to eliminate anomalies like insertion, deletion, and modification anomalies. Several normal forms are described - 1NF, 2NF, 3NF, BCNF, 4NF, and 5NF - each addressing different types of dependencies and anomalies. The goal of normalization is to organize the data in a logical manner and break relations into smaller, less redundant relations without affecting the information contained.
Database Systems - Entity Relationship Modeling (Chapter 4/2)
This document introduces entity-relationship modeling, which is a popular way to design databases. It discusses key concepts such as entities, attributes, relationships, and structural constraints. Entities represent real-world objects, and attributes describe their characteristics. Relationships associate entities, and come in different degrees (binary, ternary). Structural constraints specify how many entities can participate in a relationship, such as one-to-one, one-to-many, or many-to-many relationships. Together, entities, attributes, relationships and constraints form the basis of entity-relationship modeling.
Database Systems - SQL - DCL Statements (Chapter 3/4)
The document discusses the DCL (data control language) statements in SQL. It covers connection management statements used to connect to and disconnect from databases. It describes transaction management statements like START TRANSACTION, COMMIT, and ROLLBACK used to control transactions. It also covers access control statements like GRANT and REVOKE used to manage user privileges and access to database objects.
Database Systems - SQL - DDL Statements (Chapter 3/3)
The document discusses SQL DML statements like SELECT, INSERT, UPDATE, and DELETE. It provides examples of using each statement to manipulate data in tables. It also covers additional SQL clauses and functions like WHERE, ORDER BY, GROUP BY, JOIN, and aggregate functions that can be used with the SELECT statement to filter, sort, group, and perform calculations on the result set.
Database Systems - SQL - DDL Statements (Chapter 3/2)
This document discusses various data definition language (DDL) statements in SQL. It describes DDL statements to create, modify, and delete database objects like schemas, tables, views, and indexes. Specifically, it covers the CREATE, ALTER, and DROP statements for schemas, tables, views, indexes, and constraints. Examples are provided for each statement type.
Database Systems - Introduction to SQL (Chapter 3/1)
This chapter covers the following:
- What is SQL
- Categories of SQL statements
- History of SQL
- Relational Database Structure
- MySQL Setup for practice
- SQL Basics (Lexical elements, Data types, Literals)
Database Systems - Relational Data Model (Chapter 2)
The document discusses the relational data model structure and operations. It describes the key concepts of the relational data model including relations, attributes, tuples/rows, domains, schemas, keys such as candidate keys and foreign keys. It also explains the basic relational algebra operations like selection, projection, union, set difference, intersection and cartesian product along with examples.
Database Systems - Introduction (Chapter 1)
1. A database is a collection of data organized in a structured format. Examples of databases include attendance registers, bank accounts, shopping lists, resume collections, contact lists, and notes.
2. A database management system (DBMS) is software that allows users to create, access, manage and control databases. Common DBMS functions include database creation, querying, manipulation, and controlling access.
3. The main differences between a database and a DBMS are that a database refers to the collection of data itself, while a DBMS is the software that manages the database and allows users to perform tasks like querying and updating the data.
More from Vidyasagar Mundroy (8)
Database Systems - Normalization of Relations(Chapter 4/3)
Database Systems - Normalization of Relations(Chapter 4/3)
Database Systems - Entity Relationship Modeling (Chapter 4/2)
Database Systems - Entity Relationship Modeling (Chapter 4/2)
Database Systems - SQL - DCL Statements (Chapter 3/4)
Database Systems - SQL - DCL Statements (Chapter 3/4)
Database Systems - SQL - DDL Statements (Chapter 3/3)
Database Systems - SQL - DDL Statements (Chapter 3/3)
Database Systems - SQL - DDL Statements (Chapter 3/2)
Database Systems - SQL - DDL Statements (Chapter 3/2)
Database Systems - Introduction to SQL (Chapter 3/1)
Database Systems - Introduction to SQL (Chapter 3/1)
Database Systems - Relational Data Model (Chapter 2)
Database Systems - Relational Data Model (Chapter 2)
Recently uploaded
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(Deakin毕业证书)迪肯大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Natural Language Processing (NLP), RAG and its applications .pptx
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.
Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(swinburne毕业证书)斯威本科技大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
State of Artificial intelligence Report 2023
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.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
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
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Recently uploaded (20)
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Natural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptx
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Database Systems - Introduction to Database Design (Chapter 4/1)
- 1. 4. Database Design Techniques In this chapter you will be introduced to various techniques to design relational databases.
- 2. Database Design Topics - Importance of Database Design - Database Design Approaches - Database Design Phases - Data Modeling - Entity Relationship Data Modeling - Normalization - Conceptual Database Design - Logical Database Design - Physical Database Design
- 3. Importance of Database Design There are two primary approaches •Responsive applications •Enable you to extend database with ease •Sharing database for many applications •Integrity of data •Security of data
- 4. Database Design Methods Primary design methods are: •Bottom-up design method •Top-down design method
- 5. Importance of Database Design Proper design of database is crucial for •Responsive applications •Enable you to extend database with ease •Sharing database for many applications •Integrity of data •Security of data
- 6. Database Design Approaches The design approaches are: •Bottom-up design approach •Top-down design approach
- 7. Bottom-up Database Design Steps that you should follow for this design approach are as follows: •Step-1: Identify attributes for which you need to store data •Step-2: Group the attributes into relations based on associations between the attributes through the process of normalization. Note:- Can be used only for small databases.
- 8. Top-down Database Design Steps that you should follow for this design approach are as follows: •Step-1: Create an Entity-Relationship Model •Step-2: Start with Entity Types of the Entity- Relationship Model as initial relations, apply normalization procedure to come up with the relations.
- 9. Database Design Phases Following are the three phases of database design: •Conceptual Database Design •Logical Database Design •Physical Database Design
- 10. Conceptual Database Design Phase Input: Output of Systems Analysis – Data-Flow Diagrams, Software requirement specifications, etc. Output: Conceptual Data Model (ER-Model Diagram) Goal: To get a model capturing complete user data requirements, understand and represent relationships among entity types No implementation details to be shown.
- 11. Logical Database Design Phase Input: Conceptual Data Model Output: A DBMS specific Data Model such as relation data model, hierarchical data model and network data model. No implementation details to be shown.
- 12. Physical Database Design Phase Input: DBMS Specific Data Model Output: Database schema with implementation details such as physical organization of database objects, indexes to be used and location of the objects on secondary storage.