This document provides an overview of MS Access and database design. It discusses key concepts like relational databases, tables, records, and fields. It also outlines the steps to create tables and define fields, add additional tables, create queries, forms and reports, and use templates to design a database in MS Access. The goal is to organize data without duplication and ensure consistency through techniques like normalization.
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]Usman Tariq
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
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.
Data Models [DATABASE SYSTEMS: Design, Implementation, and Management]Usman Tariq
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
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.
Information Systems For Business and BeyondChapter 4Data a.docxjaggernaoma
Information Systems For Business and Beyond
Chapter 4
Data and Databases
IST
5500
1
Objectives
Describe differences between data, info & knowledge
Define database & identify steps to create one
Describe role of a database management system
Describe characteristics of a data warehouse; and
Define data mining & describe its role in an organization
2
Data, Information & Knowledge
Data: raw bits & pieces of info
Quantitative or qualitative
Data alone not useful
Needs context to be information
Aggregate & analyze: knowledge
Knowledge used for decisions
Wisdom includes experience!
NOTE: We will not be discussing older, hierarchical databases during this class
Databases
Relational database most popular
Limit our discussion to them
Examples: MS Access, MySQL & Oracle
Data organized into one or more tables
Each table contains set of fields
A record is one instance of a set of fields
Tables related by one or more fields: primary key
Database Design
Needs, requirements & goals?
Define data requiring tracking
Determine tables needed
Specifically which fields
Data to which they will relate
Establish primary key (unique)
Normalize: avoid duplicates & achieve flexibility
Designing a Database
Example: a university wants to create an information system to track participation in student clubs
Goal to give insight into how university funds clubs
Track number of club members & club activeness
Must keep track of the clubs, members & events
Following tables needed:
Clubs: club name, club president, short description of club
Students: student name, e-mail, year of birth
Memberships: correlates students with clubs, any given student can join multiple clubs
Events: when clubs meet & attendance
Designing a Database continued
Primary key must be selected for each table to create a relationship
unique identifier for each record in a table
Designing a Database Table Details
Designing a Database Table Details cont.
Designing a Database continued
Normalization
Design database in a way that:
reduces duplication of data between tables
gives table as much flexibility as possible
Purpose of creating Memberships table separate from Students & Clubs tables
Makes it simple to change design without major modifications to existing structure
Data Types
Each field in a database table needs a data type
Text, Number, Yes/No, Date/Time, Currency, Object, etc.
Importance of properly defined data types
tells database what functions can be performed
proper amount of storage space is allocated for data
Data Types: Assigned by Fields
Text – generally under 256 characters
Numbers* – usually different types
Yes/No – decisions (*special type)
Date/Time – formats (*special type)
Currency – types (*special type)
Paragraphs - allows text over 256
Objects – images, music, etc.
Database Tables 1NF (1st normal form)
Database Demonstration
Time permi.
Pick out your favorite image and describe some tools and techniques that could be used to create the image.
Source: https://www.cteonline.org/lesson-plans/x1tvut/using-selection-tools-and-layers-in-photoshop
Database Development Process: A core aspect of software engineering is the subdivision of the development process into a series of phases, or steps, each of which focuses on one part of the development.
Normalization is the branch of the relational theory that provides design insights. It is the process of determining how much redundancy exists in a table.
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.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
3. Identify Good Database Design(1 of 2)
MS Access is a relational database management system
Database—organized collection of data
Information—data organized in a useful manner
Flat database—simple database, not related to other data
Relational database—database, multiple collections are
related
Tables—foundation of an Access database
Record—all the data relating to one person, place, event,
thing, or idea is stored
Field—single piece of information for every record
4. Identify Good Database Design(2 of 4)
First principle of a good database design
Organize data so there is no duplication of
information
Second principle of a good database design
Use techniques to ensure that data is consistent
Normalization is important because your goal in
creating a database is to have it perform as
expected
Tables in a relational database are joined to one
another on a common field
5. Create a Table and Define Fields in a Blank
Desktop Database(1 of 8)
6. Create a Table and Define Fields in a Blank
Desktop Database(2 of 8)
Access Window Element Description
Navigation Pane Displays the database objects that can be opened in the
object window.
Object tab Identifies the open object.
Object window Displays the active or open object(s), including tables,
queries, or other objects.
Close button for object Closes the active object.
Ribbon Displays commands grouped by related tasks and stored
on different tabs.
Status bar Indicates the active view and the status of action occurring
within the database on the left; provides buttons on the
right to switch between Datasheet view and Design view.
Table Tools Provides tools on two tabs for working with the active table
object, these are contextual tabs—only available when a
table object is active.
Close button for application Closes the active database and Access.
7. Create a Table and Define Fields in a Blank
Desktop Database(3 of 8)
8. Create a Table and Define Fields in a Blank
Desktop Database(4 of 8)
Examples of Data types
Short text—up to 255 characters
Date & Time—date or time
Auto Number—unique sequential numbers
Currency—amounts
9. Create a Table and Define Fields in a Blank
Desktop Database(5 of 8)
10. Create a Table and Define Fields in a Blank
Desktop Database(6 of 8)
11. Create a Table and Define Fields in a Blank
Desktop Database(7 of 8)
12. Create a Table and Define Fields in a Blank
Desktop Database(8 of 8)