Tonight I delivered a fun presentation on the topic of designing a relational database using entity relationship diagrams. The group was very diverse (QA, Product Managers, DBAs, Software Architects, startup folks, etc.) and we had a great time talking about the nuts and bolts of designing a database.
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
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
This is presntation on how you can read a data model and understand the data and business rules contained in it. It is intended for non-technical people
A detailed description about Cryptography explaining the topic from the very basics. Explaining how it all started, and how is it currently being applied in the real world. Mostly useful for students in engineering and mathematics.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Cryptography is the science of using mathematics to encrypt and decrypt data.
Cryptography enables you to store sensitive information or transmit it across insecure networks so that it cannot be read by anyone except the intended recipient.
This PPT explains about the term "Cryptography - Encryption & Decryption". This PPT is for beginners and for intermediate developers who want to learn about Cryptography. I have also explained about the various classes which .Net provides for encryption and decryption and some other terms like "AES" and "DES".
Introduction to Database Design with Entity Relationship DiagramsMark A
This presentation was delivered to the Silicon Valley Code Camp in a session entitled "Introduction to Database Design with Entity Relationship Diagrams" on October 9, 2011. The intent of the presentation is to teach people how to understand, create and work with ER diagrams. There are also a number of topics introduced for the purpose of stimulating self-directed learning after the presentation.
The presentation featured a demo where the audience participated in the design and normalization of a database in real time.
How to build SharePoint applications that everybody lovesMaarten Visser
How to build SharePoint applications that everybody loves. My presentation for the Dutch Information Worker User Group (DIWUG) 23 february 2012.
It also has a slide on our new to announce apps for SharePoint, Windows phone 7 and Windows 8.
This is presntation on how you can read a data model and understand the data and business rules contained in it. It is intended for non-technical people
A detailed description about Cryptography explaining the topic from the very basics. Explaining how it all started, and how is it currently being applied in the real world. Mostly useful for students in engineering and mathematics.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Cryptography is the science of using mathematics to encrypt and decrypt data.
Cryptography enables you to store sensitive information or transmit it across insecure networks so that it cannot be read by anyone except the intended recipient.
This PPT explains about the term "Cryptography - Encryption & Decryption". This PPT is for beginners and for intermediate developers who want to learn about Cryptography. I have also explained about the various classes which .Net provides for encryption and decryption and some other terms like "AES" and "DES".
Introduction to Database Design with Entity Relationship DiagramsMark A
This presentation was delivered to the Silicon Valley Code Camp in a session entitled "Introduction to Database Design with Entity Relationship Diagrams" on October 9, 2011. The intent of the presentation is to teach people how to understand, create and work with ER diagrams. There are also a number of topics introduced for the purpose of stimulating self-directed learning after the presentation.
The presentation featured a demo where the audience participated in the design and normalization of a database in real time.
How to build SharePoint applications that everybody lovesMaarten Visser
How to build SharePoint applications that everybody loves. My presentation for the Dutch Information Worker User Group (DIWUG) 23 february 2012.
It also has a slide on our new to announce apps for SharePoint, Windows phone 7 and Windows 8.
Data Con LA 2022 - Open Source Large Knowledge Graph FactoryData Con LA
Russell Jurney, Founder, Graphlet AI
The knowledge graph and graph database markets have long asked themselves: why aren't we larger? The vision of the semantic web was that many datasets could be cross-referenced between independent graph databases to map all knowledge on the web from myriad disparate datasets into one or more authoritative ontologies which could be accessed by writing SPARQL queries to work across knowledge graphs. The reality of dirty data made this vision impossible. Most time is spent cleaning data which isn't in the format you need to solve your business problems. Multiple datasets in different formats each have quirks. Deduplicate data using entity resolution is an unsolved problem for large graphs. Once you merge duplicate nodes and edges, you rarely have the edge types you need to make a problem easy to solve. It turns out the most likely type of edge in a knowledge graph that solves your problem easily is defined by the output of a Python program using the machine learning. For large graphs, this program needs to run on a horizontally scalable platform PySpark and extend rather than be isolated inside a graph databases. The quality of developer's experience is critical. In this talk I will review an approach to an Open Source Large Knowledge Graph Factory built on top of Spark that follows the ingest / build / refine / public / query model that open source big data is based upon.
Database Systems
DBMS
Database System Environment
Traditional File Systems
Advantages of DBMS over File Systems
Disadvantages of DBMS
DBMS
Describing and Storing data in DBMS
Three Schema Architecture
Data Independence
Queries
Transactions
Structure of DBMS
Users of DBMS
Steps in database Design Process
ER Concepts and Notations
Class Hierarchies
Entity Framework and Domain Driven DesignJulie Lerman
Given at Oredev 2013 (Nov 2013 in Malmo Sweden). This presentaiton is about the intersection of Entity Framework (EF ) and Domain Driven Design (DDD) and gives pointers about *not* worrying about EF when implementing your domain in code and what you can expect when it's time to implement the persistence layer. There is a video of me giving this presentation on Vimeo at http://vimeo.com/78893724
This is an excerpt of a presentation I gave at ECPI University in Raleigh, NC. The purpose of this talk was to assist students is selecting the best database tool for business uses and to provide a low cost alternative for MS Access and MS Excel.
Building a backend for a successful social game is always challenging: It needs to service over 1 million users per day that generate 10.000 http requests per second or more whereas the vast majority of those requests are changing persistent state. Using a conventional technology stack that leads to over 50,000 database writes per second. Throughout the last two years half a dozen teams at Wooga have set out to build a backends for social games, each trying to improve on previous solutions. Each team was able to leverage experiences made by other teams but was free to choose their own technology stack and hosting environment. They also operated the game themselves in a DevOps way. This talk will trace back that evolution of backends: Starting out with a simple LAMP stack, first replacing PHP by Ruby, then replacing relational by NoSQL databases and ending up in maintaining stateful application servers utilizing Erlang OTP - and more. We will discuss limitations and problems we faced in live operation and show how later teams improved on the overall design.
Recording available here: https://youtu.be/VNYB373by0s
In any enterprise you’ll find a myriad of data technologies and architectures leveraged by various departments and groups – segmented and disconnected – yet all unified in the objective of turning the vast amounts of data generated and gathered by the organization into real-time (at least as the goal) insights and quantified decisions. All the components of a multi-model architecture likely already exist but can lack the strategy, structure, and integration to become an effective real-time data architecture. We discuss these issues, and present solutions that pave the way.
This presentation covers
- Defining a Strategy for Real-Time
- Understanding Each Model’s Strengths and Purpose
- Integrating It All Together
IST365 - Project Deliverable #3Create the corresponding relation.docxpriestmanmable
IST365 - Project Deliverable #3
Create the corresponding relational data model by implementing the database for myFlicks.com within the course's mySQL site, linked on the course's homepage within Blackboard. Be sure to populate your tables with dummy data, providing me with the SQL scripts used to create the tables and insert the data into the actual database within a Word document. You need only to have enough data so that your queries (explained below) can be processed and not a complete product or customer inventory.
For this project, you will also create at a minimum 10 important SELECT queries that you need for the day to day management and maintenance of the operation of the site to turn raw data into useful information. In other words, these should all be SELECT statements that myFlicks.com administration or the site itself would actually process to present data to the user or management. Run the queries against your database to ensure the results are correct. Justify why each of the queries you created are important to the application in a written report. Be sure that you make the best use of the data that you can.
I will look for at least two major areas in your implementation. (a) First, I will check the structure of the tables - has entity and referential integrity been enforced and does the structure of your relational database match the ER diagram you submitted as deliverable #2 (b) most importantly, do you have queries that support the transactions associated with myFlicks.com. Remember that I will be looking for and grading 10 queries, but at the same time, I grade on a difficulty scale. Points will be awarded based on complexity, meaning I am looking for aggregate information, joins, etc. and not just statements such as select * from users, etc. As an example, you may have 10 queries, but if one is a very simple and not very useful query, it may get only 2 points (each is worth 7 with the other points given to the database's integrity structure). Also, make sure no query or report produces a null output. I must see data in the output for all queries/reports. Remember, and I reiterate, grading for the queries/reports will be based on the complexity of the queries. Simple queries are allowed, but are awarded very few points.
Creating database
4
Creating a database MyFlicks.com IST 365
December 1, 2014
The database will store information about a catalogue of movies. Information to be stored about each movie includes their titles, description, genre, artists and directors. Each artist and director may be involved in several movies. Movies will have a title and a running time (in minutes). Actors will have names associated with them and it should be possible to search the database by artist names. The same case will apply to directors and producers. Finally, in order to search the catalogue by title, each movie will have a number of keywords, which are the words in the title of the movie.Identifying Entities
The firs ...
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
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<p>Many can be confused when it comes to data topics. Architecture, models, data — it can seem a bit overwhelming. This program offers a clear explanation of Data Modeling and Data Architecture with a focus on the power of their interdependence. Both Data Architecture and data models are made more useful by each other. Data models are a primary means to achieve a shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, Data Architecture is the sum of the organizational data models. However, coverage is rarely complete. Anytime you are talking about architecture, it is important to include the complementary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner, can organizations take steps to better understand what they have and what they need to accomplish by employing Data Modeling and Data Architecture.</p>
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<p>This program's learning objectives include:</p>
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<ul><li>Understanding the role played by models</li><li>Incorporating the interrelated concepts of architecture/engineering</li><li>What is taught: forward engineering with a goal of building</li><li>What is also needed: reverse engineering with a goal of understanding</li><li>How increasing coordination requirements increase design simplicity</li></ul>
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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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
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.
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.
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
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.
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
Charlie Greenberg, Host
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
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
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.
25-30 minutes of instruction, 15-20 minutes of demo, 30+ minutes of Q&AI hope I’ll address most of your questions as we go, but write them down + let’s talk about them at the end of the slidesBut if you’re lost and your neighbor has a blank stare, please interrupt
Who are you?------Software engineers?Database engineers? DBAs?Don’t work with anything Microsoft?Why are you here?------Total new to DB?Work with a database that someone else designed?Handed a project and now you’re in charge?Design databases yourself?
Edgar F.Codd – British IBM researcher, regarded as the inventor of the relational model for database managementGOALS FOR SESSION: At the end of this session, you should be able to read, understand and create database Entity Relationship diagrams. And know where to look next.There will be a couple of exercises for the audience as we go and an Interactive demoQ&A – very curious about what you’re facing out there in the world
Want you to know of any bias that may affect my talkRun a startup, we make software for wholesalers and manufacturers to scale sales + operationsOn Microsoft stack (SQL Server, MVC, TDD, etc.)Love teaching + learningCheck out upcoming meetings on Agile, PhilHaack! and APIsConnect with me on LinkedInBe one of my 43 followers on Twitter!
Visual representation of the ENTITIES and RELATIONSHIPS between themBased on rules from the real world / your business; Entails a number of rules, standards and guidelinesGreat way to communicate with co-workers, customers, developers; Great working model and critical reference documentYou could consider this as a whole bunch of linked-together Excel worksheets: these fields define the columnsWorking with a model is 50% science, 50% art, 50% experience
CustomerId in SalesOrder table references a record/row in the Customer tableWe can look up / refer to related or seemingly unrelated data elsewhere
C’mon, you have to put all that data *somewhere*!Business Rules? Really? Yes, in *relationships* and other definitionsIt’s a great mental exercise that forces you to think through a lot of hard problemsSeparation of Concerns (1974, check Wikipedia)But what about Agile, TDD and BDD? Yes, in the demo we’ll start simple, break stuff and refactor.
Entity = object that is important to the business.Entity = the NOUNRelationship = how are these objects/entities relating to one another?Relationship = the VERB; the VERB PHRASE
What’s in a name?Naming conventions – singular vs. plural DESCRIBE THE BUSINESSAttribute = property of Entity / Columns of db tableData type choice (decimal vs. float vs. money) varchar vs. nvarchar vs. char vs. textNULL option – is this mandatory per business rules?Primary Key: unique identifier for each row of dataForeign Key: another entity’s PK that is here due to relationshipIDENTITY column: guarantees uniqueness and auto-increments (autonumber). (1,1) specifies the SEED and INCREMENT
A relationship is the “verb” between entities – defines how they interact per business rulesNaming / “writing a sentence” / be consistentDefines how the entities interactRead the relationship from parent->child (end with the dot)Identifying: the child is dependent on its parent for its identityNon-identifying: may be existence dependent but not identity dependent
Sometimes we end up with complicated relationships and that’s OKRecursive: can ParentId be NULL?Associative / link / join / junction table: used for many-to-many tablesCan make joins a little more difficult but is a common patternGREAT for when you want to use an entity in other areas, e.g. Customer<->Address and Person<->Address
Cardinality: how many instances of each entity may be involved or must be involved?w/ identifying (circle) – there has to be one Customer for some # of Addressw/ non-identifying (diamond) – no requirement to have a Customer to have an Address (could be an Employee Address, Order Address, etc.)<nothing> One-to-zero-or-more:<P> one to one or more<Z> one to zero or one<N> one to exactly Nw/ non-identifying relationships, these can all be zero-or-one-to…Enforced via triggers and constraints
Primary Key – unique identifying key (can be any data type as long as it’s unique)Foreign Key – some other entity’s PK that appears here because of some relationship with itCandidate Key – Could this work as a PK? What’s are the candidate keys in this table?Composite Key – put a few fields together to get a unique keyStrings? Timestamps? Integers? Decimals?
DENORMALIZED:Data can be duplicated and get out of syncEase of queryingPerformance considerationsNORMALIZED:One “fact” occurs in one place and only one placeRequires you to get the business rules “right”No way to have data concurrency issuesDoes require a lot of joins
Great opportunities for self-directed learningGeneralization:Account Savings Account, Checking Account, Mortgage AccountCascading deletesIn sum, there are a lot of database rules that can protect your data from you! Developer actions, etc.
In some ways it’s easier to create than repair… let’s work together to see how we can improve this modelFirstName/LastName fields long enough?StateProvince field?Website (255) OK?Are all of these fields really OK to be nulls?WTF is OwnerId doing in Country? State?Is StateCode and CountryCode OK for a PK? Why not a bigint?Relationships in wrong directionDenormalizedInfo? What is this? A flag?
Features + benefits of these as you go up/down the food chain