The document describes concepts related to entity relationship modeling including:
- Entity types represent real world objects like employees, departments, etc. and have attributes.
- Relationship types define relationships between entity types like works_for between employees and departments.
- Keys uniquely identify entities and attributes can be single/multi-valued, simple/composite.
- The example models a company database with entities for departments, projects, employees and dependents along with their attributes and relationships.
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
If find how to create
E-R Diagrams ? Here is a Doc making things for you simple and easy .
Entity Relationship Diagrams (ERDs) illustrate the logical structure of databases.
I find many students find uneasiness in creating ER-Diagrams conceptually , but they understand how to create tables and columns for a Software project . Here is an approach creating to first create Tables and from tables ..ER Diagrams
Fundamentals of database system - Data Modeling Using the Entity-Relationshi...Mustafa Kamel Mohammadi
In this chapter you will learn
Relational data model concepts
What is entity?
What is attribute and it’s types
What is relationship?
What is an Entity-Relationship data model?
Relational data model constraints
Characteristics of relation
If find how to create
E-R Diagrams ? Here is a Doc making things for you simple and easy .
Entity Relationship Diagrams (ERDs) illustrate the logical structure of databases.
I find many students find uneasiness in creating ER-Diagrams conceptually , but they understand how to create tables and columns for a Software project . Here is an approach creating to first create Tables and from tables ..ER Diagrams
Data Modeling and Database Design 2nd Edition by Umanath Scamell Solution Manualendokayle
link full download: https://testbankstudy.com/product/data-modeling-and-database-design-2nd-edition-by-umanath-scamell-solution-manual/
Language: English
ISBN-10: 1285085256
ISBN-13: 978-1285085258
ISBN-13: 9781285085258
Symbol of ER(Entity Relationship) diagram.Schema relationship to E-R diagram. Attribute,Multi value attributes
,Derived Attribute, Entity, Relationship, Week Entity, Identifying relationship
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Data Modeling and Database Design 2nd Edition by Umanath Scamell Solution Manualendokayle
link full download: https://testbankstudy.com/product/data-modeling-and-database-design-2nd-edition-by-umanath-scamell-solution-manual/
Language: English
ISBN-10: 1285085256
ISBN-13: 978-1285085258
ISBN-13: 9781285085258
Symbol of ER(Entity Relationship) diagram.Schema relationship to E-R diagram. Attribute,Multi value attributes
,Derived Attribute, Entity, Relationship, Week Entity, Identifying relationship
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2. Contents
High-level Conceptual Data Models for
Database design
Example Database Application
Entity types, Entity Sets, Attributes and keys
Relationship types, relationship sets, Roles
and structural Constraints
E-R Diagram, Naming Conventions and
Design Issues
3.
4. Example Database Application
The Company is a organized into
departments. Each Department has unique
name, a unique number and a particular
employee who manages the department. We
keep track of the start date when that
employee began managing the department. A
department has several locations.
A department controls a number of projects,
each of which has a unique name , a unique
number and a single location.
5. We store each employee’s name ,social
security number, address, salary, sex, and
birthdate. An employee is assigned one
department but may work on several projects,
which are not necessarily, controlled by the
same department. We keep track of the
number of hours per week that an employee
works on each project. We also keep track of
the direct supervisor of each employee.
6. We want to keep track of the
dependents of each employee for
insurance purposes. We keep each
dependent’s first name, sex, birth date,
and relationship to the employee.
7.
8. Entity Types, Entity Sets, Attributes
and Keys
The basic object that the ER- Model
represents is an entity, which is a “thing”
in real-world with an independent
existence.
An Entity may be an object with physical
existence (Car, Person, house) or may
be an object with a conceptual
existence(a company, a job).
9. Entity Types, Entity Sets, Attributes
and Keys
Each Entity has attributes- the properties
that describe it.
There are several types of attributes
Simple versus Composite
Single valued versus Multivalued
Stored Versus Derived
10. Composite Versus Simple Attributes
Composite attributes can be divided into
smaller subparts, which represents more
basic attributes with independent
meaning.
For example: Address can be sub
divided into streetaddress, city,
state,country,zip.
Attributes that are not divisible are called
Simple or atomic attributes
11. Single Valued versus Multivalued
Attributes
Attributes that hold single value are
called single-valued attributes.
For example :age
Multivalued attributes hold more than
one value.
For example: car with two colors, or phone
no of a person
12. Attributes which are derived from some
other attributes are called as derived
attributes.
The attributes from which others
attributes are derived are called stored
attributes.
For ex: Age is derived from BirthDate, so
age is derived attribute and Birth Date is
stored attribute.
Stored versus Derived Attributes
13. Null Values
In some cases entity may not have an
applicable value for an attribute.
For Example: Fax Number or apartment
number.
For such attributes an special attribute
called null is created.
Null Means unknown .
14. Complex Attributes
The composition of composite and
multivalued attributes is called as
complex attributes.
Composite attributes are represented by
() paranthesis and multivalued attributes
{ }.
15. Entity Types, Entity Sets
A Database usually contains groups of
entities that are similar.
For Example, a company hiring
hundreds of employees may want to
store similar information
These entities share same attributes, but
have their own values for each
attributes.
16. Entity Type, Entity Sets
An Entity Type defines a collection of entities that
have same attributes.
The collection of all the entities of a particular entity
type in the database at any point in time is called an
entity set.
The entity set is usually referred to using the same
name as the entity type. For example, EMPLOYEE
refers to both a type of entity as well as the current
set of all employee entities in the database.
Entity type is represented as a Rectangular box in
ER Diagrams enclosing entity type name.
17. Entity types , Entity Sets
Attributes names are enclosed in ovals
and are attached to their entity type by
straight lines.
Multivalued attributes are displayed in
double ovals.
18. Key attributes
An Entity type has an attribute
whose values are distinct for each
individual entity in the entity set.
Such attributes are called key
attributes.
For example: Roll no in Student
table.
19. Value Sets(Domains) of Attributes
Each simple attribute in an entity set is
associated with an value set or domain ,
which specifies the set of values that it
may hold.
Value sets are typically specified using
the basic data types such as integer,
boolean, floating and so on.
20. Initial Conceptual Design of
Company Database
An entity type DEPARTMENT with
attributes Name, Number, Locations,
Manager, and ManagerStartDate.
Locations is only multivalued attribute.
We can specify both name and number
as key attributes.
21. Initial Conceptual Design of
Company Database
An entity type PROJECT with attributes
Name, Number, Location,and
ControllingDepartment.
Both Name and Number are key
attributes.
22. Initial Conceptual Design of
Company Database
An Entity EMPLOYEE with attributes
Name, SSN,Sex, Address, Salary,
BirthDate, Department, and Supervisor.
Both Name and address may be
composite attributes; however this was
not specified in requirements.
23. Initial Conceptual Design of
Company Database
An Entity type DEPENDENT with
attributes Employee, DependentName,
Sex, BirthDate and Relationship(to the
employee)
24. Relationship types, Relations Sets
and Structural Constraints
Degree of a relationship type: The
degree of a relationship type is the
number of participating entity types.
For Example: WORKSFOR relationship
is of degree two.
A relationship type of degree two is
called binary.
A relationship type of degree three is
called ternary.
25.
26. Relationship as Attributes
It is sometimes convenient to think of a
relationship type in terms of attributes.
ManagerStartDate is an attribute which
is necessary for both Employee and
Department.
27. Role Names
The role name signifies the role that a
participating entity from the entity type
plays in each relationship instance and
helps to explain what the relationship
means.
For example: In WORKS_FOR
relationship type, EMPLOYEE plays the
role of employee and DEPARTMENT
plays a role of employer
28. Recursive Relationships
In Some cases the same entity type
participates in a relationship type in
different roles.
Such relationships are called Recursive
Relationships.
For such relationships the role name
becomes essential for distinguishing the
meaning of each participation.
29. Constraints of Relationship Types
Cardinality Ratios for Binary
Relationship
The cardinality ratio for a binary relationship
specifies the maximum number of
relationship instances that an entity can
participate in.
For Example: Works _For Relationship is
between EMPLOYEE and DEPARTMENT
Its Cardinality ratio is 1:N
Possible Cardinality ratios for binary
relationships are 1:1,1:N,N:1,and M:N.
30. Participation Constraint
Specifies whether the existance of an
entity depends on its being related to
another entity via the relationship type.
There are 2 possible participation
constraints
Total
Partial
31. Weak Entity Types
Entity types that do not have key attributes of
their own are called weak entity types.
In contrast regular entity types that do have
key attributes are called strong entity types.
Entities belonging to a weak entity type is are
identified by strong entity types and the
relation ship is called identifying relationship
35. Proper Naming of Schema
Constructs
Use Singular Names for Entity Types
rather than plurals because entity type
applies to each individual entity.
Entity Type names and relationship
types are written in uppercase.
Attribute names are capitilized
Role names are in lower case.