The document defines key concepts of an entity relationship (ER) model used for database design. It explains that an ER model uses entities, attributes, and relationships to conceptualize a database's structure and design. It provides examples of entity types like strong and weak entities, attribute types like primary keys and foreign keys, and relationship types like one-to-one, one-to-many, many-to-one, and many-to-many. The ER model develops a simple conceptual view of a database's data elements and how they relate to each other.
The importance of data models, Basic building blocks, Business rules, The evolution of data models, Degrees of data abstraction
Database design and Introduction to UML
The importance of data models, Basic building blocks, Business rules, The evolution of data models, Degrees of data abstraction
Database design and Introduction to UML
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
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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?
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- 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
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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
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Attacks on counties – USA
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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/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
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PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
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Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
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Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
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Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
4. DBM S-
A database management system (DBMS)
is system software for creating and
managing databases. The DBMS
provides users and programmers with a
systematic way to create, retrieve,
update and manage data.
Overall we can say that a dbms is a
system that is responsible for
holding,retriving,and manipulating of data
with presence of some constraints
5. About– ER-MODEL
Entity relationship model also called e-r model
and it is a high level model.
This model is used to define the data elements
and relationship for a specified system.
It develops a conceptual design for the
database. It also develops a very simple and
easy to design view of data.
In ER modeling, the database structure is
portrayed as a diagram called an entity-
8. Entity
An entity may be any object, class, person or
place.
In the ER diagram, an entity can be
represented as rectangles.
9. An entity can be of two types (by existance):-
•Tangible Entity : Entities that exist in the real world physically.
Example: Person, car, etc.
•Intangible Entity : Entities that exist only logically and have
no physical existence. Example: Bank Account, etc.
10. Weak Entity-
An entity that depends on another entity
called a weak entity.
The weak entity doesn't contain any key
attribute of its own.it has discriminator.
The weak entity is represented by a double
rectangle.
11. Strong Entity:
A strong entity is not dependent on any other
entity in the schema. A strong entity will always
have a primary key. Strong entities are
represented by a single rectangle. The relationship
of two strong entities is represented by a single
diamond.
12. Attribute-
The attribute is used to describe the
property of an entity.
For example - id, age, contact number,
name, etc. can be attributes of a student.
13. KeyAttribute-
The key attribute is used to represent the
main characteristics of an entity.
It represents a primary key.
The key attribute is represented by an oval shape
with the text underlined.
14. Different types of keys
The different types of keys in the database
management system (DBMS) are as follows −
•Primary key
•Super key
•Candidate key
•Alternate key
•Artificial key
•Foreign key
15. Candidate key
It is an attribute whose values uniquely identify
each record of a table. A table can have more than
one candidate key.
StdNo Name Branch Branch
01 Hari Cse A
02 Pinky Ece B
03 Bob Civil A
Let’s consider a table −
Candidate key satisfy some conditions which are as follows −
•Different records cannot be identical.
•Subset of the candidate key cannot be a key.
16. Primary Key
From many candidate keys, the database designer
selects one candidate key for his database called as
primary key. The primary key uniquely identifies
each record in a table and must never be the same
for two records.
•Uniqueness (two different records cannot be
identical).
•NOT NULL (null value is not allowed).
•Value in a primary key column can never be
modified or updated, if any foreign key refers to
that primary key
17. Alternate Key
Candidate keys which are not selected for primary
keys are called alternate keys. That is, except for
the primary key the remaining candidate keys are
alternate keys.
Super key
It is the superset of the candidate key. The combine
attributes where the first attribute always have
uniqueness and second attribute may or may not
have uniqueness.
18. Artificial key
It is used in the form of indexes. If the size of the
database is large and no attribute can be specified
as a key field then the index or artificial key is
applied on the given database.
19. Foreign key
In a relation, the column whose data values
correspond to the values of a key column in
another relation is called a foreign key. In a
relational database, the foreign key of a relation
may be the primary key of another relation.
21. Multivalued Attribute-
An attribute can have more than one value.
These attributes are known as a
multivalued attribute.
The double oval is used to represent
multivalued attribute.
22. Derived Attribute-
An attribute that can be derived from other
attribute is known as a derived attribute.
It can be represented by a dashed oval.
23. Relationship-
A relationship is used to describe the
relation between entities.
Diamond shape is used to represent
the relationship.
There are two types one is strong relation
and second is weak relation.
Strong relationship represented by a single
diamond where weak relationship represented by
double diamond
24. Types of relationship -
1.One-to-One Relationship
When only one instance of an entity is
associated with the relationship, then it is
known as one to one relationship.
For example, A female can marry to one
male, and a male can marry to one female.
25. 2.One-to-many relationship
When only one instance of the entity on the left,
and more than one instance of an entity on the
right associates with the relationship then this is
known as a one-to-many relationship.
For example, Scientist can invent many
inventions, but the invention is done by the only
specific scientist.
26. 3.Many-to-one relationship
When more than one instance of the entity on the
left, and only one instance of an entity on the right
associates with the relationship then it is known as
a many-to-one relationship.
For example, Student enrolls for only one course,
but a course can have many students.
27. 4.Many-to-many relationship
When more than one instance of the entity on the
left, and more than one instance of an entity on the
right associates with the relationship then it is known
as a many- to-many relationship.
For example, Employee can assign by many
projects and project can have many employees.