The document discusses the entity-relationship (E-R) model for conceptual database design. It describes how a database can be modeled as a collection of entities and relationships between entities. Entity sets contain entities of the same type, and relationship sets define associations among entity sets. The document outlines key E-R modeling concepts such as attributes, keys, cardinalities, participation constraints, and weak entities. It also discusses how to represent an E-R design using an E-R diagram.
The presentation discusses about the following topics:
DBMS Architecture
Relational Algebra Review
Relational calculus
Relational calculus building blocks
Tuple relational calculus
Tuple relational calculus Formulas
The presentation discusses about the following topics:
DBMS Architecture
Relational Algebra Review
Relational calculus
Relational calculus building blocks
Tuple relational calculus
Tuple relational calculus Formulas
The PPT would provide the Database Normalization is to restructure the logical data model of a database to:
Eliminate Redundancy
Organize Data Efficiently
Reduce the potential for Data Anomalies.
Fraud Analytics with Machine Learning and Big Data Engineering for TelecomSudarson Roy Pratihar
Presentation of a successful project executed on telecom fraud analytics @ 3rd International conference for businees analytics and intelligence, Indian Institute of Management Bangalore
In this lecture we analyze document oriented databases. In particular we consider why there are the first approach to nosql and what are the main features. Then, we analyze as example MongoDB. We consider the data model, CRUD operations, write concerns, scaling (replication and sharding).
Finally we presents other document oriented database and when to use or not document oriented databases.
Data science presentation - Management career institutePoojaPatidar11
1.Basic Definition: data, science, data science
1.Data: Facts and statistics collected together for reference or analysis
2.Science: The intellectual and practical activity encompassing the systematic study of the structure and behavior of the physical and natural world through observation and experiment.
3.Data Science: Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems
2. Who is a Data Scientist?
A Data Scientist is the master of all trades! He should be proficient in maths, he should be acing the Business field and should have great Computer Science skills as well
.
3.Data Science Skills
•SQL
•Hadoop
•Python
•Java
•R
4.Data science scope
There is a big scope for data Science in India. The profession has been named the sexiest job of the 21st century.
5.Data science job trends:
Data science actually makes sense, not only because it is very useful, but also you have a great career in it in the near future.
6.Data Scientist Salary Trends:
The report goes on to say that the median salary for a Data Scientist is an impressive $116,000 and there are over 1,736 job openings posted on the site.
7.Data Scientist Job Roles:
•Data Scientist
•Data Engineer
•Data Architect
•Data Administrator
•Data Analyst
•Business Analyst
•Data/Analytics Manager
•Business Intelligence Manager
Presented as part of the course on 'Information visualization' (533c) taught by professor Tamara munzner at UBC in 2009.
http://people.cs.ubc.ca/~tmm/courses/533-09/
More info @ http://www.cs.ubc.ca/~mohanr/
The PPT would provide the Database Normalization is to restructure the logical data model of a database to:
Eliminate Redundancy
Organize Data Efficiently
Reduce the potential for Data Anomalies.
Fraud Analytics with Machine Learning and Big Data Engineering for TelecomSudarson Roy Pratihar
Presentation of a successful project executed on telecom fraud analytics @ 3rd International conference for businees analytics and intelligence, Indian Institute of Management Bangalore
In this lecture we analyze document oriented databases. In particular we consider why there are the first approach to nosql and what are the main features. Then, we analyze as example MongoDB. We consider the data model, CRUD operations, write concerns, scaling (replication and sharding).
Finally we presents other document oriented database and when to use or not document oriented databases.
Data science presentation - Management career institutePoojaPatidar11
1.Basic Definition: data, science, data science
1.Data: Facts and statistics collected together for reference or analysis
2.Science: The intellectual and practical activity encompassing the systematic study of the structure and behavior of the physical and natural world through observation and experiment.
3.Data Science: Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems
2. Who is a Data Scientist?
A Data Scientist is the master of all trades! He should be proficient in maths, he should be acing the Business field and should have great Computer Science skills as well
.
3.Data Science Skills
•SQL
•Hadoop
•Python
•Java
•R
4.Data science scope
There is a big scope for data Science in India. The profession has been named the sexiest job of the 21st century.
5.Data science job trends:
Data science actually makes sense, not only because it is very useful, but also you have a great career in it in the near future.
6.Data Scientist Salary Trends:
The report goes on to say that the median salary for a Data Scientist is an impressive $116,000 and there are over 1,736 job openings posted on the site.
7.Data Scientist Job Roles:
•Data Scientist
•Data Engineer
•Data Architect
•Data Administrator
•Data Analyst
•Business Analyst
•Data/Analytics Manager
•Business Intelligence Manager
Presented as part of the course on 'Information visualization' (533c) taught by professor Tamara munzner at UBC in 2009.
http://people.cs.ubc.ca/~tmm/courses/533-09/
More info @ http://www.cs.ubc.ca/~mohanr/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.