Database concepts such as data, information, fields, records, files and database models including flat, hierarchical and network models were discussed. Database architecture including schemas, instances, languages and interfaces were also covered.
A DVD rental database was provided as a real-life example to demonstrate database concepts and architecture.
A short quiz concluded the summary to test understanding of key terms introduced in the document.
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
ADVANCE DATABASE MANAGEMENT SYSTEM CONCEPTS & ARCHITECTURE by vikas jagtapVikas Jagtap
The data that indicates the earth location (latitude & longitude, or height & depth ) of these rendered objects is known as spatial data.
When the map is rendered, objects of this spatial data are used to project the location of the objects on 2-Dimentional piece of paper.
The spatial data management systems are designed to make the storage, retrieval, & manipulation of spatial data (i.e points, lines and polygons) easier and natural to users, such as GIS.
While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types.
These are typically called geometry or feature.
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
ADVANCE DATABASE MANAGEMENT SYSTEM CONCEPTS & ARCHITECTURE by vikas jagtapVikas Jagtap
The data that indicates the earth location (latitude & longitude, or height & depth ) of these rendered objects is known as spatial data.
When the map is rendered, objects of this spatial data are used to project the location of the objects on 2-Dimentional piece of paper.
The spatial data management systems are designed to make the storage, retrieval, & manipulation of spatial data (i.e points, lines and polygons) easier and natural to users, such as GIS.
While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types.
These are typically called geometry or feature.
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
Object-Relational Database Systems(ORDBMSs) can successfully deal with very large data volumes with great complexity. At present the vendors of all the major DBMS products have supported object-relational database management systems, but still its industrial adoption rate is relatively low.
An Introduction to Architecture of Object Oriented Database Management System and how it differs from RDBMS means Relational Database Management System
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
Object-Relational Database Systems(ORDBMSs) can successfully deal with very large data volumes with great complexity. At present the vendors of all the major DBMS products have supported object-relational database management systems, but still its industrial adoption rate is relatively low.
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Week 1
1. WEEK 1 FUNDAMENTAL OF DATABASE SYSTEMS
Objectivities of this class
1. Learn the Differentiate different terms used in Database System
2. Learn the Database System Concepts
3. Learn the Database Architecture
This class is lecturing in order of above objectivities.
2. 0. Introduction
1) Basic Terms of DB Systems
2) Database Management System
1. Database System Concepts
1) Data Model
2) Database Model
2. Database Architecture
1) Schemas vs. Instances
2) DB Languages and Interfaces
3. ◈ Database:
Integrated collection of stored operational data used
by the application systems of a particular enterprise.
★ Examples:
Retail sector-department stores, Food outlets,
Mass storage-weather records,
Health industry - patient records, etc.
4. ◈ Data vs. Information
★Data:
* Raw facts, concepts, characters, analog quantitie
* A formalized manner suitable for communication or
processing by humans.
* Data items to supply some information about an entity.
★Information:
Meaning that a human assigns to data by means of the
known conventions used in their representation.
6. ◈ Field, Columns, Record, Row, File
Field:
Group of characters with specific meaning.
Columns:
Columns corresponding to the attributes of the object.
Record:
Logically connected fields that describe a person, place, or thing.
Row:
A row consists of one set of attributes (or one tuple) corresponding
to one instance of the entity that a table schema describes.
File:
Collection of related records.
7. Definition:
A collection of programs that enables users to create and maintain
the database.
Advantages of DBMS:
Providing storage structure for efficient query processing.
Restricting unauthorized users.
Providing concurrency, backup and recovery.
Enforcing integrity constraints.
Disadvantages of DBMS:
Centralization
Reporting features may not be available in rDBMS.
8. Definition of Data model:
* A set of concepts that can be used to describe the structure of
a database:
- data types, relationships, constraints,
semantics and operational behaviour.
* It is a tool for data abstraction.
Data model operations :
Specifying database retrievals and updates by referring to the
concepts of the data model.
9. Categories of data models
Conceptual data model
Logical data model
Physical data model
10. • Identifying the business concepts (entities)
• Relationships between these concepts in order to gain, reflect, and
document understanding of the organization’s business from a data
perspective.
12. • Specification all tables and columns.
• Foreign keys are used to identify relationships between tables.
13. Categories of database models
Flat database model
Hierarchical database model
Network database model
Relational database model
14. • Consists of a single, two-dimensional array of data elements.
15. • Data is organized into a tree-like structure, implying a single upward link
in each record to describe the nesting.
• A sort field to keep the records in a particular order in each same-
level list.
16. • Organizes data using two fundamental constructs, called records and sets.
• Records contain fields hierarchically.
17. • Allows the definition of data structures, storage and retrieval operations
and integrity constraints
• Organised in tables which is a collection of records and each record in a
table contains the same fields.
18. Schema:
- Logical structure of the database
Database Schema
- Described in a formal language by the DBMS
- Be able to create a blueprint of how a database
will be constructed
Schema Diagram
- A diagrammatic display of (some aspects of) a
database schema
20. Definition:
The set of specifications, rules, processes
-- dictate how data is stored in a database
-- how data is accessed by components of a system.
Includes data types, relationships, and naming conventions.
Describes the organization of all database objects and how they
work together.
Affects integrity, reliability, scalability, and performance.
Involves anything that defines the nature, the structure of the data,
or how the data flows.
21. Database Independence :
Logical data independence
The capacity to change the conceptual schema without having to
change external schema or application programs.
Ex: employee (e#, name, address, salary)
Physical data independence
The capacity to change the internal schema without having to
change the conceptual (or external) schema.
22. Database Language :
Data Definition Language (DDL)
Used to specify the conceptual schema of a database.
For defining internal and external schemas(view).
* In some DBMSs, separate storage definition language (sdl) and
view definition language (vdl) are used to define internal and
external schemas.
Data Manipulation Language (DML)
Used to specify database retrievals and updates.
DML commands can be embedded in a general-purpose
programming language (host language), such as COBOL, C .
Data Control Language (DML)
High/Low level or Procedural/non-procedural languages.
23. Definition :
The aggregate of means by which people interact with the database.
- Input : users to manipulate a system
- Output : to produce the effects of the users' manipulation.
Examples :
Stand-alone query language interfaces.
Programmer interfaces.
* Pre-compiler approach
* Procedure (subroutine) call approach
User-friendly interfaces.
* Menu-based, popular for browsing on the web
* Forms-based, designed for naïve users
* Graphics-based (point and click, drag and drop etc.)
* Natural language: requests in written English
24. Week 1 Database System Concepts and Architecture:
summary
Real-life example
Database Basic Concepts:
DB Models:
Schema:
DB Architecture:
DB Language:
DB Interfaces:
quiz
25. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
DVD Rental Database
A business on DVD Rental is a real life example of database application.
For instance the enterprise may track information about DVDs, employees,
customers and their phone numbers and the movies they offer along with details
such as their genre, addresses, ages...
Without the use of the database system the rental shop has to maintain scattered
DVD records and customer information. A centralized database will help to
provide general accessibility to this information as well as ensuring that the data
is preserved more securely.
The system may provide not only the features stated above and some other
features .
26. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
• Database schema for DVD Rental
DVD
DVD Id
Title
Published Year
Customer
Customer Id
Last Name
Director Id
Last Name
First Name
Sex
Address
Phone No
Address
Phone No
Director
First Name
Sex
Actor
Actor Id
Last Name
First Name
Sex
Address
Phone No
27. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
Introduction to Database Systems
1. A representations of raw facts, concepts, or instructions in a formalized manner
suitable for communication, interpretation, or processing by humans or by
automatic means is known as:
A. A field
B. Data
C. Information
D. A database
E. A record
2. The basic unit of data entry is called:
A. A field
B. A character
C. A bit
D. A kilobit
E. A cell
Enter answer,,,.
28. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
Introduction to Database Systems
1. A representations of raw facts, concepts, or instructions in a formalized manner
suitable for communication, interpretation, or processing by humans or by
automatic means is known as:
A. A field
B. Data
C. Information
D. A database
E. A record
2. The basic unit of data entry is called:
A. A field
B. A character
C. A bit
D. A kilobit
E. A cell
answer is:
1. B
2. A
29. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
3. A collection of related records is:
A. A character
B. A file
C. A bit
D. A kilobit
E. A cell
4.. A set of programs supporting the creation, maintenance and operation of
a database is called:
A. SQL SERVER
B. DBMS
C. BROWSER
D. WORD PROCESSOR
E. MS ACCESS
Enter answer,,,.
30. Week 1 Database System Concepts and Architecture:
summary
Real-life example
quiz
3. A collection of related records is:
A. A character
B. A file
C. A bit
D. A kilobit
E. A cell
4.. A set of programs supporting the creation, maintenance and operation of
a database is called:
A. SQL SERVER
B. DBMS
C. BROWSER
D. WORD PROCESSOR
E. MS ACCESS
answer is:
3. C
4. B