Software Paradigms
•Download as ODP, PDF•
0 likes•335 views
We are going to discuss briefly the programming paradigms that are common today. I am not going to be able to give you a detailed understanding of each, but we will have a brief discussion about each and what each paradigm brings to the table in terms of software architecture.
Report
Share
Report
Share
Recommended
SPEVO13 - Dev213 - Document Assembly Deep Dive Part 2
This session picks up from part 1 by extending the development strategy to include using XPath expressions embedded within a MS Word document template.
MLFlow as part of ML CI/CD at Avalara
We use MLFLow Tracking as our model repository and have integrated it with our CI/CD tool of choice - GoCD
Sigma EE: Reaping low-hanging fruits in RDF-based data integration
A presentation I gave at I-Semantics 2010 on Sigma EE, an RDF-based data integration front-end.
Sigma EE is now available for download here: http://sig.ma/?page=help
Couch db
The document appears to be a resume or profile for an IT professional named Khurram Mahmood Bhatti. It includes details about his 8+ years of experience in the IT industry, education background including an MBA and BSCS, skills in areas like PHP frameworks and front-end technologies, and contact information. It also lists his current role as Software Lead at DatumSquare IT Services.
Top 10 of Data & BI Summit Series: Power BI Tips & Tricks from the Trenches
This document provides an agenda and list of tips for a Power BI session. The agenda indicates that the session will provide a fast-paced set of demos on useful Power BI techniques rather than an introduction or deep-dive on any topic. The tips include optimizing data models, using filters before transformations, parameters for templates and dynamic queries, measures as dimensions, importing online datasets, and real-time options like streaming and REST APIs.
Machine Learning on the Microsoft Stack
This document provides an overview of machine learning solutions, including on-premise options using Excel add-ins, SQL Server, and R Studio, as well as cloud solutions on Azure and Predixion. It defines common machine learning roles and algorithms, discusses the R programming language, and compares features of the different solutions such as required infrastructure, complexity, costs, and capabilities.
Introduction to GraphQL
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
Introduction to functional programming with JavaScript
Functional programming with JavaScript. As an object-oriented programmer, I found it difficult to understand functional programming or answering questions such as what is functional programming? Why functional programming? What are the advantages of functional programming? When do we use functional or object-oriented programming? In these slides, I will go over the terms like immutability, Pure functional, and Higher-order functions
Recommended
SPEVO13 - Dev213 - Document Assembly Deep Dive Part 2
This session picks up from part 1 by extending the development strategy to include using XPath expressions embedded within a MS Word document template.
MLFlow as part of ML CI/CD at Avalara
We use MLFLow Tracking as our model repository and have integrated it with our CI/CD tool of choice - GoCD
Sigma EE: Reaping low-hanging fruits in RDF-based data integration
A presentation I gave at I-Semantics 2010 on Sigma EE, an RDF-based data integration front-end.
Sigma EE is now available for download here: http://sig.ma/?page=help
Couch db
The document appears to be a resume or profile for an IT professional named Khurram Mahmood Bhatti. It includes details about his 8+ years of experience in the IT industry, education background including an MBA and BSCS, skills in areas like PHP frameworks and front-end technologies, and contact information. It also lists his current role as Software Lead at DatumSquare IT Services.
Top 10 of Data & BI Summit Series: Power BI Tips & Tricks from the Trenches
This document provides an agenda and list of tips for a Power BI session. The agenda indicates that the session will provide a fast-paced set of demos on useful Power BI techniques rather than an introduction or deep-dive on any topic. The tips include optimizing data models, using filters before transformations, parameters for templates and dynamic queries, measures as dimensions, importing online datasets, and real-time options like streaming and REST APIs.
Machine Learning on the Microsoft Stack
This document provides an overview of machine learning solutions, including on-premise options using Excel add-ins, SQL Server, and R Studio, as well as cloud solutions on Azure and Predixion. It defines common machine learning roles and algorithms, discusses the R programming language, and compares features of the different solutions such as required infrastructure, complexity, costs, and capabilities.
Introduction to GraphQL
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
Introduction to functional programming with JavaScript
Functional programming with JavaScript. As an object-oriented programmer, I found it difficult to understand functional programming or answering questions such as what is functional programming? Why functional programming? What are the advantages of functional programming? When do we use functional or object-oriented programming? In these slides, I will go over the terms like immutability, Pure functional, and Higher-order functions
Software Evolution
Following presentation answers:
- Why do we need evolution?
- What happens if we do not evolve the software?
- What are the types of software evolution?
- What are Lehman's laws
- What are the strategies for evolution?
Software Evolution
This document discusses software evolution analysis and visualization. It begins with definitions of software and key concepts in software evolution. It then discusses mining software repositories to understand who made changes and when. Visualization techniques are presented to help understand the evolutionary process, such as the Evolution Matrix and CodeCity tools. Analyzing bugs as first-class entities over their lifecycle is also discussed. The goal of the analysis is to understand past evolution and help predict future changes.
CombinedFile OceTDS7235
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Software Evolution Introduction (EVO 2008)
This set of slides accompanied my introductory lecture to Software Evolution held at the University of Bern.
Ch21
Software systems must evolve over time to remain useful as requirements, environments, and technologies change. There are several processes involved in software evolution, including software maintenance to fix bugs, adapt to new environments, or implement new functionality. Legacy system evolution requires assessing the business value and quality of the system to determine the best strategy, such as continuing maintenance, reengineering to improve maintainability, or replacing the system.
Software Evolution
Paper Review on Towards a Better Understanding of Software Evolution: An Empirical Study on Open Source Software
Introduction to Software Evolution: The Software Volcano
The document discusses software evolution and maintenance. It notes that as software ages, more resources are spent on maintenance and enhancements rather than new projects. The "software volcano" refers to the estimated 750 gigalines of COBOL code and 900 gigalines of C code worldwide, containing an estimated 35 gigabugs. Issues with software maintenance include increasing complexity over time, lack of testing and documentation, and difficulty adapting to changing business needs. Solutions include refactoring, automated testing, knowledge management, and adopting frameworks like ITIL.
Software evolution evangelisation
Maintenance is inevitable as software systems must evolve to adapt to changing needs and environments over time. While new development techniques may improve quality, they do not eliminate the need for maintenance, which accounts for a large portion of total costs in software engineering. Maintenance is challenging due to missing information and the need for backward compatibility, but it is not inherently boring and can provide interesting problems to solve. Changing the cultural perception of maintenance as punishment or of legacy systems as inferior is needed.
Paradigms
The document discusses programming paradigms and introduces imperative programming. It defines imperative programming as a paradigm that describes computation in terms of statements that change a program's state. Imperative programming uses commands to update variables in storage and defines sequences of commands for the computer to perform. The document contrasts structured and unstructured programming and discusses concepts like l-values, r-values, iteration, and goto statements as they relate to imperative programming.
Need for Software Engineering
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software engineering
This document provides an introduction to software engineering. It discusses how software serves both as a product that delivers computing potential and as a vehicle for delivering other products. The document defines what constitutes software and discusses different types of software applications. It also covers software engineering practices, including communication, planning, analysis and design modeling, construction, and principles related to each practice. Overall, the document gives a high-level overview of key concepts in software engineering.
Software engineering lecture notes
The document discusses different software engineering process models including:
1. The waterfall model which is a linear sequential model where each phase must be completed before moving to the next.
2. Prototyping models which allow requirements to be refined through building prototypes.
3. RAD (Rapid Application Development) which emphasizes short development cycles through reuse and code generation.
4. Incremental models which deliver functionality in increments with early increments focusing on high priority requirements.
5. The spiral model which has multiple iterations of planning, risk analysis, engineering and evaluation phases.
Software Engineering ppt
The document describes an online railway reservation system project submitted by students. It discusses software engineering principles and methods used to develop the system. It includes UML diagrams like use case, class, sequence, and activity diagrams that were created as part of the analysis and design of the system. It also describes testing done on the project in the form of alpha testing.
ORM Methodology
this presentation about the ORM methodology and how is works and how to select an ORM for your project
Object Relational Mapping In Real World Applications
Object/Relational Mapping (ORM) is a technique that maps object-oriented classes and properties to relational database tables and fields. ORM leverages existing object-oriented programming skills and provides an abstraction layer over databases. There are important differences between ORM and traditional data access approaches like ADO.NET in areas like data binding, business logic implementation, and support for multi-tier architectures.
OODBMSvsORDBMSppt.pptx
Object-oriented databases allow for complex data objects while relational databases relate data points. Object-oriented databases use classes, objects, and other object-oriented concepts as building blocks. They are useful for real-time systems, 3D modeling, and other applications. NoSQL databases like document and graph databases store data non-tabulary. The object relational model combines object-oriented and relational approaches to bridge their differences. It supports objects, classes and inheritance like object databases with relational structures. Developers must weigh relational and object-oriented pros and cons based on their specific project needs.
Olap introduction
The document discusses OLAP (Online Analytical Processing) and data warehousing. It describes the typical 3-tier architecture of a DSS including a data warehouse database layer, OLAP engine application logic layer, and decision support client presentation layer. Additionally, it covers different types of OLAP including MOLAP, ROLAP, and HOLAP as well as popular OLAP servers and query languages like MDX.
黑豹 ch4 ddd pattern practice (2)
This document discusses layered architecture and repositories in domain-driven design. It covers topics like separating domain models from data models using repositories, implementing repositories to provide a collection-like interface for accessing domain objects, and differences between repositories and data access objects. The key points are that repositories mediate between the domain and data layers, encapsulate data access, and make the domain model independent of data access technologies and schemas.
Ruby On Rails - Rochester K Linux User Group
The document provides a history and overview of Ruby and Ruby on Rails. It discusses how Ruby on Rails embodies best practices in software design such as the model-view-controller pattern, test-driven development, and principles of simplicity. Examples are given of how Rails enforces separation of concerns and automates common development tasks to improve productivity.
Some NoSQL
The document discusses different NoSQL database models and when each may be appropriate to use. It notes that relational databases can scale with enough effort, but using the proper NoSQL model for one's data avoids unnecessary layers of abstraction. Key-value stores are best for simple dictionaries or session data, while document stores allow for querying inner document values and are well-suited for documents like blogs. Column-family databases are optimized for high write volumes with small chance of collisions. Graph databases are best for data inherently involving nodes and relationships like social networks. The best approach is "polyglot persistence", using the database model that best represents each slice of data rather than forcing all data into a single model.
Ruby on rails for beginers
The document provides an overview of Ruby on Rails including: why developers may be interested in Rails, key concepts like MVC architecture and conventions over configuration, how models, views and controllers work, database persistence with ActiveRecord, and common Rails tools like migrations, validations and associations. It also briefly discusses Ruby's creator Yukihiro Matsumoto, popular Rails applications, and resources for learning more.
Ruby On Rails
Ruby on Rails was presented to the Agile Atlanta group. The presentation provided an overview of Ruby, demonstrated the Rails framework, and described its principles and architecture in 3 sentences or less:
Ruby is an agile language and Ruby on Rails is its popular web application framework that promotes agile practices like convention over configuration and includes everything needed to build database-driven web apps according to the MVC pattern.
More Related Content
Viewers also liked
Software Evolution
Following presentation answers:
- Why do we need evolution?
- What happens if we do not evolve the software?
- What are the types of software evolution?
- What are Lehman's laws
- What are the strategies for evolution?
Software Evolution
This document discusses software evolution analysis and visualization. It begins with definitions of software and key concepts in software evolution. It then discusses mining software repositories to understand who made changes and when. Visualization techniques are presented to help understand the evolutionary process, such as the Evolution Matrix and CodeCity tools. Analyzing bugs as first-class entities over their lifecycle is also discussed. The goal of the analysis is to understand past evolution and help predict future changes.
CombinedFile OceTDS7235
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Software Evolution Introduction (EVO 2008)
This set of slides accompanied my introductory lecture to Software Evolution held at the University of Bern.
Ch21
Software systems must evolve over time to remain useful as requirements, environments, and technologies change. There are several processes involved in software evolution, including software maintenance to fix bugs, adapt to new environments, or implement new functionality. Legacy system evolution requires assessing the business value and quality of the system to determine the best strategy, such as continuing maintenance, reengineering to improve maintainability, or replacing the system.
Software Evolution
Paper Review on Towards a Better Understanding of Software Evolution: An Empirical Study on Open Source Software
Introduction to Software Evolution: The Software Volcano
The document discusses software evolution and maintenance. It notes that as software ages, more resources are spent on maintenance and enhancements rather than new projects. The "software volcano" refers to the estimated 750 gigalines of COBOL code and 900 gigalines of C code worldwide, containing an estimated 35 gigabugs. Issues with software maintenance include increasing complexity over time, lack of testing and documentation, and difficulty adapting to changing business needs. Solutions include refactoring, automated testing, knowledge management, and adopting frameworks like ITIL.
Software evolution evangelisation
Maintenance is inevitable as software systems must evolve to adapt to changing needs and environments over time. While new development techniques may improve quality, they do not eliminate the need for maintenance, which accounts for a large portion of total costs in software engineering. Maintenance is challenging due to missing information and the need for backward compatibility, but it is not inherently boring and can provide interesting problems to solve. Changing the cultural perception of maintenance as punishment or of legacy systems as inferior is needed.
Paradigms
The document discusses programming paradigms and introduces imperative programming. It defines imperative programming as a paradigm that describes computation in terms of statements that change a program's state. Imperative programming uses commands to update variables in storage and defines sequences of commands for the computer to perform. The document contrasts structured and unstructured programming and discusses concepts like l-values, r-values, iteration, and goto statements as they relate to imperative programming.
Need for Software Engineering
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software engineering
This document provides an introduction to software engineering. It discusses how software serves both as a product that delivers computing potential and as a vehicle for delivering other products. The document defines what constitutes software and discusses different types of software applications. It also covers software engineering practices, including communication, planning, analysis and design modeling, construction, and principles related to each practice. Overall, the document gives a high-level overview of key concepts in software engineering.
Software engineering lecture notes
The document discusses different software engineering process models including:
1. The waterfall model which is a linear sequential model where each phase must be completed before moving to the next.
2. Prototyping models which allow requirements to be refined through building prototypes.
3. RAD (Rapid Application Development) which emphasizes short development cycles through reuse and code generation.
4. Incremental models which deliver functionality in increments with early increments focusing on high priority requirements.
5. The spiral model which has multiple iterations of planning, risk analysis, engineering and evaluation phases.
Software Engineering ppt
The document describes an online railway reservation system project submitted by students. It discusses software engineering principles and methods used to develop the system. It includes UML diagrams like use case, class, sequence, and activity diagrams that were created as part of the analysis and design of the system. It also describes testing done on the project in the form of alpha testing.
Viewers also liked (13)
Introduction to Software Evolution: The Software Volcano
Introduction to Software Evolution: The Software Volcano
Similar to Software Paradigms
ORM Methodology
this presentation about the ORM methodology and how is works and how to select an ORM for your project
Object Relational Mapping In Real World Applications
Object/Relational Mapping (ORM) is a technique that maps object-oriented classes and properties to relational database tables and fields. ORM leverages existing object-oriented programming skills and provides an abstraction layer over databases. There are important differences between ORM and traditional data access approaches like ADO.NET in areas like data binding, business logic implementation, and support for multi-tier architectures.
OODBMSvsORDBMSppt.pptx
Object-oriented databases allow for complex data objects while relational databases relate data points. Object-oriented databases use classes, objects, and other object-oriented concepts as building blocks. They are useful for real-time systems, 3D modeling, and other applications. NoSQL databases like document and graph databases store data non-tabulary. The object relational model combines object-oriented and relational approaches to bridge their differences. It supports objects, classes and inheritance like object databases with relational structures. Developers must weigh relational and object-oriented pros and cons based on their specific project needs.
Olap introduction
The document discusses OLAP (Online Analytical Processing) and data warehousing. It describes the typical 3-tier architecture of a DSS including a data warehouse database layer, OLAP engine application logic layer, and decision support client presentation layer. Additionally, it covers different types of OLAP including MOLAP, ROLAP, and HOLAP as well as popular OLAP servers and query languages like MDX.
黑豹 ch4 ddd pattern practice (2)
This document discusses layered architecture and repositories in domain-driven design. It covers topics like separating domain models from data models using repositories, implementing repositories to provide a collection-like interface for accessing domain objects, and differences between repositories and data access objects. The key points are that repositories mediate between the domain and data layers, encapsulate data access, and make the domain model independent of data access technologies and schemas.
Ruby On Rails - Rochester K Linux User Group
The document provides a history and overview of Ruby and Ruby on Rails. It discusses how Ruby on Rails embodies best practices in software design such as the model-view-controller pattern, test-driven development, and principles of simplicity. Examples are given of how Rails enforces separation of concerns and automates common development tasks to improve productivity.
Some NoSQL
The document discusses different NoSQL database models and when each may be appropriate to use. It notes that relational databases can scale with enough effort, but using the proper NoSQL model for one's data avoids unnecessary layers of abstraction. Key-value stores are best for simple dictionaries or session data, while document stores allow for querying inner document values and are well-suited for documents like blogs. Column-family databases are optimized for high write volumes with small chance of collisions. Graph databases are best for data inherently involving nodes and relationships like social networks. The best approach is "polyglot persistence", using the database model that best represents each slice of data rather than forcing all data into a single model.
Ruby on rails for beginers
The document provides an overview of Ruby on Rails including: why developers may be interested in Rails, key concepts like MVC architecture and conventions over configuration, how models, views and controllers work, database persistence with ActiveRecord, and common Rails tools like migrations, validations and associations. It also briefly discusses Ruby's creator Yukihiro Matsumoto, popular Rails applications, and resources for learning more.
Ruby On Rails
Ruby on Rails was presented to the Agile Atlanta group. The presentation provided an overview of Ruby, demonstrated the Rails framework, and described its principles and architecture in 3 sentences or less:
Ruby is an agile language and Ruby on Rails is its popular web application framework that promotes agile practices like convention over configuration and includes everything needed to build database-driven web apps according to the MVC pattern.
Introduction to Software - Coder Forge - John Mulhall
An introduction to software for Coder Forge on 27th April covering common terms, OOP and programming tips
Multi datastores - CLOSER'14
This document discusses the challenges of heterogeneous data models when dealing with multi-cloud and multi-data store applications. Specifically, it notes that with different cloud providers come different data stores and data models, leading to fragmentation. The document proposes that model-driven engineering can help address this issue by separating the problem from the solution, and enabling design data to be stored anywhere through transformation. However, writing transformations is challenging due to differences in data store paradigms and variable data structures across targets.
Vital AI: Big Data Modeling
Video: https://www.youtube.com/watch?v=Rt2oHibJT4k
Technologies such as Hadoop have addressed the "Volume" problem of Big Data, and technologies such as Spark have recently addressed the "Velocity" problem – but the "Variety" problem is largely unaddressed – there is a lot of manual "data wrangling" to mange data models.
These manual processes do not scale well. Not only is the variety of data increasing, also the rate of change in the data definitions is increasing. We can’t keep up. NoSQL data repositories can handle storage, but we need effective models of the data to fully utilize it.
This talk will present tools and a methodology to manage Big Data Models in a rapidly changing world. This talk covers:
Creating Semantic Metadata Models of Big Data Resources
Graphical UI Tools for Big Data Models
Tools to synchronize Big Data Models and Application Code
Using NoSQL Databases, such as Amazon DynamoDB, with Big Data Models
Using Big Data Models with Hadoop, Storm, Spark, Giraph, and Inference
Using Big Data Models with Machine Learning to generate Predictive Models
Developer Collaborative/Coordination processes using Big Data Models and Git
Managing change – Big Data Models with rapidly changing Data Resources
Artigo no sql x relational
This document discusses NoSQL databases and compares them to relational databases. It begins by explaining that NoSQL databases were developed to address scalability issues in relational databases. The document then categorizes NoSQL databases into four main types: key-value stores, column-oriented databases, document stores, and graph databases. For each type, popular examples are provided (e.g. DynamoDB, Cassandra, MongoDB) along with descriptions and use cases. The advantages of NoSQL databases over relational databases are also briefly touched on.
SemTech 2010: Pelorus Platform
The document describes Pelorus, a semantic web application platform developed by Clark & Parsia. Pelorus aims to ease the process of prototyping and assessing semantic web technologies for enterprises by providing an integrated development stack. It includes components like PelletServer for reasoning over ontologies, a semantic ETL toolkit to transform data into RDF, and Annex for publishing linked data. Pelorus handles steps from ontology development to application creation to reduce barriers to exploring semantic web approaches. The goal is to allow users to add their data and automatically generate a working application for data integration and analysis.
Big data vahidamiri-tabriz-13960226-datastack.ir
کارگاه کلان داده در سومین کنفرانس ملی محاسبات توزیعی و پردازش داده های بزرگ
دانشگاه شهید مدنی آذربایجان
تبریز
اردیبهشت 96
Build vs Migrate to PaaS
Rob Rastovich of Appirio presents "Migrating Enterprise Apps to the Cloud (PaaS)" at SDForum Cloud Services SIG at Stanford University on Tuesday August 24th
Spark and scala course content | Spark and scala course online training
The document outlines the course contents for a Spark & Scala course. It will cover topics such as describing Spark components like the driver program, worker, and RDDs. It will also cover loading and processing data with Spark, Spark SQL, building Spark applications, pair RDD operations, data frames, Spark streaming, GraphX, and MLlib. The course will also introduce Scala concepts such as expressions, functions, classes, pattern matching, generics, and concurrency.
What Impact Will Entity Framework Have On Architecture
This document discusses the impact that adopting the Entity Framework and Entity Data Model will have on application architecture. It provides an overview of object-relational mapping (ORM) technologies and how they help address the impedance mismatch between object-oriented programming and relational databases. The document outlines several key features and improvements in Entity Framework versions 1.0, 2.0, 3.0 and 4.0, such as better code generation tools, a model-first approach, support for stored procedures and persistence ignorance. It argues that adopting an ORM like Entity Framework can improve developer productivity, code quality and database independence.
Pluggable patterns
This document discusses making Django applications more "pluggable" by designing them to be focused, self-contained, and easily adaptable. It describes several types of pluggable applications including data apps, utility apps, and decorator apps. It then addresses 10 common situations where pluggability could be improved, such as making templates, URLs, options and views configurable. The goal is to create reusable apps that can be flexibly adapted to different projects and uses.
Introduction to NoSQL
Introduction Presentation about NoSQL
Agenda:
- Why NoSQL
- What is NoSQL
- Distribution Models
- The CAP Theorem
- NoSQL Types
- NoSQL or Relational or Both
- Demo!
Similar to Software Paradigms (20)
Object Relational Mapping In Real World Applications
Object Relational Mapping In Real World Applications
Introduction to Software - Coder Forge - John Mulhall
Introduction to Software - Coder Forge - John Mulhall
Spark and scala course content | Spark and scala course online training
Spark and scala course content | Spark and scala course online training
What Impact Will Entity Framework Have On Architecture
What Impact Will Entity Framework Have On Architecture
Recently uploaded
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Recently uploaded (20)
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Software Paradigms
- 3. Object Oriented Objects and Classes Encapsulation Polymorphism Composition, Inheritance Delegation DATA ORIENTED
- 4. Other Paradigms Functional Programming gaining in acceptance JavaScript / node.js
- 5. Your Paradigm Affects The Design Procedural / Functional Breakdown OO: Domain Model / Use Cases / Mapping Each Paradigm Has Its Own Design Patterns WE WILL ASSUME OO FOR NOW
- 6. Model View Controller OO Architectural Pattern Split between Model View Controller Usual Approach: Adopt a Framework
- 7. Design Patterns Design Patterns: Elements of Reusable Object- Oriented Software “Gang Of Four” Buy the Book!
- 8. Object Relational Mapping Object Oriented Data Store from Relational Database OO Databases Exist But RDBMS is still “King Of The Hill”
- 9. ORM Types Data Mapper Vs Active Record Choose the one that suits your need but beware of carrying heavy objects around in APIs.
- 10. ORM Augmentation Beware of Fat Controllers Beware of Fat Models Data Repository Service Bus Classes Define Your Own Layers
- 11. Points Of Study Software Paradigms even the ones you don’t use MVC ORM Active Record and Data Mapper Design Patterns