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| azure business rules engine: AI and Business Rule Engines for Excel Power Users Paul Browne, Alex Porcelli, 2023-03-31 A power-packed manual to enhance your decision-making with the application of Business Rules using KIE, Drools, Kogito, MS Excel, Power Automate, Office Script, and MS Forms Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesExplore the business rule tools by implementing real-world examples to write sophisticated rulesDiscover how decision services solve current business challenges using AICombine rules with workflows and scripting to deploy a cloud-based production environmentBook Description Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel. This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft's business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You'll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing. By the end of the book, you'll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You'll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools. What you will learnUse KIE and Drools decision services to write AI-based business rulesLink Business Rules to Excel using Power Query, Script Lab, Office Script, and VBABuild an end-to-end workflow with Microsoft Power Automate and Forms while integrating it with Excel and KogitoCollaborate on and deploy your decision models using OpenShift, Azure, and GitHubDiscover advanced editing using the graphical Decision Model Notation (DMN) and testing toolsUse Kogito to combine AI solutions with ExcelWho this book is for This book is for Excel power users, business users, and business analysts looking for a tool to capture their knowledge and deploy it as part of enterprise-grade systems. Working proficiency with MS Excel is required. Basic knowledge of web technologies and scripting would be an added advantage. |
| azure business rules engine: SOA with .NET and Windows Azure Thomas Erl, David Chou, John deVadoss, Nitin Gandhi, Hanu Kommalapati, Brian Loesgen, Christoph Schittko, Herbjorn Wilhelmsen, M Williams, Scott Golightly, Darryl Hogan, Jeff King, Scott Seely, 2010-05-27 The Authoritative Guide to Building Service-Oriented Solutions with Microsoft .NET Technologies and the Windows Azure Cloud Computing Platform In SOA with .NET and Windows Azure, top Microsoft technology experts team up with Thomas Erl to explore service-oriented computing with Microsoft’s latest .NET service technologies and Windows Azure innovations. The authors provide comprehensive documentation of on-premise and cloud-based modern service technology advancements within the Microsoft platform and further show how these technologies have increased the potential for applying and realizing service-orientation practices and goals. Specifically, the book delves into Microsoft enterprise technologies, such as: Windows Communication Foundation (WCF) Windows Azure Windows Workflow Foundation (WF) Windows Azure AppFabric BizTalk Server Windows Presentation Foundation (WPF) ...as well as industry service mediums, including WS-* and REST, and many related service industry standards and technologies. The book steps through common SOA design patterns and service-orientation principles, along with numerous code-level examples that further detail various technology architectures and implementations. Topic Areas This book covers the following primary topics: Microsoft Service Technologies Microsoft Enterprise Technologies On-Premise & Cloud-Based Service Topics Industry Service Technologies & Mediums Service-Oriented Technology Architectural Models Service-Orientation Design Paradigm Service-Orientation Design Principles SOA Design Patterns About the Web Sites This book series is further supported by a series of resources sites, including: www.soabooks.com www.soaspecs.com www.soamag.com www.serviceorientation.com www.soapatterns.org www.soaprinciples.com www.whatissoa.com |
| azure business rules engine: Robust Cloud Integration with Azure Mahindra Morar, Abhishek Kumar, Martin Abbott, Gyanendra Kumar Gautam, James Corbould, Ashish Bhambhani, 2017-03-22 Unleash the power of serverless integration with Azure About This Book Build and support highly available and scalable API Apps by learning powerful Azure-based cloud integration Deploy and deliver applications that integrate seamlessly in the cloud and quickly adapt as per your integration needs Deploy hybrid applications that work and integrate on the cloud (using Logic Apps and BizTalk Server) Who This Book Is For This book is for Microsoft Enterprise developers, DevOps, and IT professionals who would like to use Azure App Service and Microsoft Cloud Integration technologies to create cloud-based web and mobile apps. What You Will Learn Explore new models of robust cloud integration in Microsoft Azure Create your own connector and learn how to publish and manage it Build reliable, scalable, and secure business workflows using Azure Logic Apps Simplify SaaS connectivity with Azure using Logic Apps Connect your on-premises system to Azure securely Get to know more about Logic Apps and how to connect to on-premises “line-of-business” applications using Microsoft BizTalk Server In Detail Microsoft is focusing heavily on Enterprise connectivity so that developers can build scalable web and mobile apps and services in the cloud. In short, Enterprise connectivity from anywhere and to any device. These integration services are being offered through powerful Azure-based services. This book will teach you how to design and implement cloud integration using Microsoft Azure. It starts by showing you how to build, deploy, and secure the API app. Next, it introduces you to Logic Apps and helps you quickly start building your integration applications. We'll then go through the different connectors available for Logic Apps to build your automated business process workflow. Further on, you will see how to create a complex workflow in Logic Apps using Azure Function. You will then add a SaaS application to your existing cloud applications and create Queues and Topics in Service Bus on Azure using Azure Portal. Towards the end, we'll explore event hubs and IoT hubs, and you'll get to know more about how to tool and monitor the business workflow in Logic Apps. Using this book, you will be able to support your apps that connect to data anywhere—be it in the cloud or on-premises. Style and approach This practical hands-on tutorial shows you the full capability of App Service and other Azure-based integration services to build scalable and highly available web and mobile apps. It helps you successfully build and support your applications in the cloud or on-premises successfully. We'll debunk the popular myth that switching to cloud is risky—it's not! |
| azure business rules engine: How to Build a Business Rules Engine Malcolm Chisholm, 2004 Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling, metadata and more. A sample application is used throughout the book to illustrate concepts. The text includes conceptual overview chapters suitable for management-level readers, including a general introduction, business justification, development and implementation considerations and more. Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling and metadata. It includes conceptual overview chapters suitable for management-level readers, a general introduction, business justification, development and implementation considerations. |
| azure business rules engine: SOA Patterns with BizTalk Server 2013 and Microsoft Azure Richard Seroter, Mark Brimble, Johann Cooper, Colin Dijkgraaf, Mahindra Morar, 2015-06-30 A service-oriented architecture (SOA) is a vendor, product, or technology independent pattern that enables application components in a network to obtain services from other components. You can take advantage of the Microsoft Integration Stack to implement your SOA strategy smoothly and cost effectively. SOA Patterns with BizTalk Server 2013 and Microsoft Azure, Second Edition provides an overview of Microsoft Integration technologies, including BizTalk Server, and demonstrates how you can leverage these technologies to implement a successful SOA. Starting with an introduction to BizTalk Server and WCF, you will learn about RESTful services, JSON, and Azure Service Bus, and how to apply SOA principles to creating BizTalk solutions. Moving on, you will learn how to implement versioning in endpoints, orchestrations, and schemas. Finally, you will discover the usage of the ESB Toolkit and extend the connectivity of BizTalk Server applications to Microsoft Azure. |
| azure business rules engine: Windows Azure Platform Tejaswi Redkar, Tony Guidici, 2012-01-29 The Windows Azure Platform has rapidly established itself as one of the most sophisticated cloud computing platforms available. With Microsoft working to continually update their product and keep it at the cutting edge, the future looks bright—if you have the skills to harness it. In particular, new features such as remote desktop access, dynamic content caching and secure content delivery using SSL make the latest version of Azure a more powerful solution than ever before. It’s widely agreed that cloud computing has produced a paradigm shift in traditional architectural concepts by providing new ways to both store and process data. The basic concepts of the cloud are now well understood throughout the industry. What is much less well understood, and the primary focus of this book, is how the the Windows Azure technology can be applied in real-world scenarios and made to work for you. This book answers those questions, demonstrating how all the features of Windows Azure—both old and new—can be put to work. By the time you’re done reading, you will be comfortable building high-quality end-to-end Windows Azure services of your own. The book, like the Azure platform itself, is divided into three key parts—Windows Azure, SQL Azure, and Windows Azure AppFabric. Each of these plays a unique role in the functioning of your cloud service. It is the goal of this book to show you how to use these components, both separately and together, to build flawless cloud applications as well as hybrid architectures that fit in alongside your business' existing systems. Pro Windows Azure Platform, Second Edition is a down-to-earth, code-centric book that shows precisely how the all the components of Windows Azure are employed, and demonstrates the techniques and best practices you'll need to put them to work. |
| azure business rules engine: BizTalk Suren Machiraju, Suraj Gaurav, 2018 Why do businesses continue to use Microsoft's BizTalk Server as the backbone to integrate line-of-business applications with their trading partners and how do recent changes make it even more effective? With the advent of Azure, we have a unique opportunity to enhance BizTalk functionality including reducing the cost of operations and maintenance. This book offers three solutions for the reader on ways to leverage BizTalk to get more from existing deployments or find ways to modernize the deployment via Azure. Microsoft partners are playing a significant role in enhancing the capabilities of BizTalk and this book includes sections that provide an in-depth review of BizTalk 360 (c) and the WPC HIPAA DB Toolkit (c). Over the recent past, Web 3.0 has also introduced many new concepts and open source technologies and this book covers ways to leverage these to enhance your BizTalk deployment. The authors start with a survey of the existing BizTalk Server - its history, patterns, and state of affairs -and go on to provide an in-depth elaboration of three messaging patterns that customers use for BizTalk; the advantages of updating to SQL Server 2016; a review of partner solutions that enhance BizTalk; and BizTalk with Web 3.0 for custom solutions. The book concludes with a comparison of the three viable BizTalk Azure application solutions that will enable you to make the best choice for your business. |
| azure business rules engine: Applied Architecture Patterns on the Microsoft Platform Second Edition Andre Dovgal, Gregor Noriskin, Dmitri Olechko, 2014-07-25 Presented in a scenario-driven tutorial way, we lead you through fictitious example problems and present you with the best solutions. This book is intended for architects, developers, and managers who need to improve their knowledge of the Microsoft application platform. This book will appeal to anyone, especially consultants, who want to get up to speed on selecting the most appropriate platform for a particular problem. A good understanding of the general Windows platform and development technologies would be helpful. |
| azure business rules engine: Upgrading and Migrating to BizTalk Server 2016 Mark Beckner, Dylan Jones, 2017-06-12 Upgrading and Migrating to BizTalk Server 2016 outlines the various approaches to upgrading existing BizTalk solutions. The text works through specific examples of new maps and revised business processes, teaching readers to migrate a solution to a BizTalk Server Azure machine, as well as the time and costs associated with the move to BizTalk 2016. Also covered: core hardware and software requirements needed for the upgrade-- |
| azure business rules engine: Microsoft Azure Essentials - Fundamentals of Azure Michael Collier, Robin Shahan, 2015-01-29 Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series. |
| azure business rules engine: Microsoft Azure Essentials Azure Machine Learning Jeff Barnes, 2015-04-25 Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series. |
| azure business rules engine: Developing Cloud Native Applications in Azure using .NET Core Rekha Kodali, Dr. Gopala Krishna Behara, Sankara Narayanan Govindarajulu, 2020-02-01 Guide to designing and developing cloud native applications in Azure Ê DESCRIPTION The mainstreaming of Cloud Native Architecture as an enterprise discipline is well underway. According to the Forbes report in January 2018, 83% of the enterprise workloads will be in the cloud by 2020 and 41% of the enterprise workloads will run on public cloud platforms, while another 22% will be running on hybrid cloud platforms. Customers are embarking on the enterprise digital transformation journeys. Adopting cloud and cloud native architectures and microservices is an important aspect of the journey. This book starts with a brief introduction on the basics of cloud native applications, cloud native application patterns. Then it covers the cloud native options available in Azure. The objective of the book is to provide practical guidelines to an architect/designer/consultant/developer, who is a part of the Cloud application definition Team. The book articulates a methodology that the implementation team needs to follow in a step-by-step manner and adopt them to fulfil the requirements for enablement of the Cloud Native application. It emphasizes on the interpersonal skills and techniques for organizing and directing the Cloud Native definition, leadership buy-in, leading the transition from planning to implementation. It also highlights the steps to be followed for performing the cloud native applications, cloud native patterns in the development of Cloud native applications, Cloud native options available in Azure, Developing BOT, Microservices based on Azure. It also covers how to develop simple IoT applications, Machine learning based applications, server less architecture, using Azure with a practical and pragmatic approach. This book embraces a structured approach organized around the following key themes, which represent the typical phases that an enterprise traverses during its Cloud Native application journey: _Ê Basics of Cloud Native Applications: It covers basics of cloud native applications using .NET core. _Ê Cloud Native Application Patterns: The reader will understand the patterns for developing Cloud Native Applications. _Ê Cloud Native Options available in Azure: The reader will understand the different options available in Azure. _Ê Developing a Simple BOT using .NET Core: The reader will understand the Azure BOT framework basics and will learn how to develop a simple BOT. _Ê Developing cloud native applications leveraging Microservices: The reader will understand the concepts of developing micro services using the Azure API Gateway Manager. _Ê Developing Integration capabilities using serverless architecture: The reader will understand the integration capabilities and various options available in Azure _Ê Developing a simple IoT application: The reader will understand the basics of developing IoT applications. _Ê Developing a simple ML based application: The reader will understand Machine Learning basics and how to develop a simple ML application _Ê Different enterprise use cases, which enable digital transformation using the Cloud Native Applications: The reader will learn about different use cases that can be built using cloud native applications Ê KEY FEATURES (Add 5-7 key features only) _ÊBasics of Cloud Native Applications _ÊDesigning Microservices _ÊDifferent cloud native options for developing Cloud Native Applications in Azure _ÊBOTs, Web Apps, Mobile Apps, Logic Apps, Service Bus, Azure Functions _ÊAzure IOT Applications _ÊAzure Machine Learning Basics _ÊEnterprise Digital Journeys WHAT WILL YOU LEARN This book aims to: _Ê Demonstrate the importance of a Cloud Native application in elevating the effectiveness of organizational transformation programs and digital enterprise journeys, using MS AzureÊ _Ê Disseminate current advancements and thought leadership in the area of Cloud Native architecture, in the context of digital enterprises _Ê Provide initiatives with evidence-based, credible, field tested and practical guidance in crafting their respective architectures; and _Ê Showcase examples and experiences of the innovative use of Cloud Native Applications in enhancing transformation initiatives. Ê WHO THIS BOOK IS FOR The book is intended for anyone looking for a career in Cloud technology, all aspiring Cloud Architects who want to learn Cloud Native Architectures, Microservices, IoT, BoT and Microsoft Azure platform and working professionals who want to switch their career in Cloud Technology. While no prior knowledge of Azure or related technologies is assumed, it will be helpful to have some .Net programming experience. In addition, the target audience of this book are, Ê _Ê Business Leaders, Chief Architects, Analysts and Designers seeking better, quicker and easier approaches to respond to needs of their internal and external customers; _Ê CIOs/CTOs of business software companies interested in incorporating Cloud Native architecture to differentiate their products and services offerings and increasing the value proposition to their customers; _Ê Consultants and practitioners desirous of new solutions and technologies to improve productivity of their clients; _Ê Academic and consulting researchers looking to uncover and characterize new research problems and programmes _Ê Practitioners and professionals involved with organizational technology strategic planning, technology procurement, management of technology projects, consulting and advising on technology issues and management of total cost of ownership. Ê Table of Contents 1. Basics of Cloud Native Applications 2. Cloud Native Application Patterns 3. Cloud Native Options available in Azure Ð BOTs, Logic Apps, Service Bus, Azure Microservices, ML services 4. Developing a Simple BOT using .NET Core 5. Developing Cloud Native applications leveraging MicroservicesÊ and Azure API Gateway 6. Developing Integration capabilities using serverless architecture 7. Developing a simple IoT application 8. Developing a simple ML based application 9. Different enterprise use cases which enable digital transformation using Cloud Native Applications |
| azure business rules engine: MC Microsoft Certified Azure Data Fundamentals Study Guide Jake Switzer, 2022-04-14 The most authoritative and complete study guide for people beginning to work with data in the Azure cloud In MC Azure Data Fundamentals Study Guide: Exam DP-900, expert Cloud Solution Architect Jake Switzer delivers a hands-on blueprint to acing the DP-900 Azure data certification. The book prepares you for the test – and for a new career in Azure data analytics, architecture, science, and more – with a laser-focus on the job roles and responsibilities of Azure data professionals. You’ll receive a foundational knowledge of core data concepts, like relational and non-relational data and transactional and analytical data workloads, while diving deep into every competency covered on the DP-900 exam. You’ll also get: Access to complimentary online study tools, including hundreds of practice exam questions, electronic flashcards, and a searchable glossary Additional prep assistance with access to Sybex’s superior interactive online learning environment and test bank Walkthroughs of skills and knowledge that are absolutely necessary for current and aspiring Azure data pros in introductory roles Perfect for anyone just beginning to work with data in the cloud, MC Azure Data Fundamentals Study Guide: Exam DP-900 is a can’t-miss resource for anyone prepping for the DP-900 exam or considering a new career working with Azure data. |
| azure business rules engine: AWS for Solutions Architects Alberto Artasanchez, 2021-02-19 Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions Key Features Apply AWS Well-Architected Framework concepts to common real-world use cases Understand how to select AWS patterns and architectures that are best suited to your needs Ensure the security and stability of a solution without impacting cost or performance Book DescriptionOne of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.What you will learn Rationalize the selection of AWS as the right cloud provider for your organization Choose the most appropriate service from AWS for a particular use case or project Implement change and operations management Find out the right resource type and size to balance performance and efficiency Discover how to mitigate risk and enforce security, authentication, and authorization Identify common business scenarios and select the right reference architectures for them Who this book is for This book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization. |
| azure business rules engine: (MCTS) Microsoft BizTalk Server (70-595) Certification and Assessment Guide: Second Edition Johan Hedberg, Morten la Cour, Kent Weare, 2014-03-10 A hands-on certification guide with practical examples and sample questions and answers to help BizTalk developers pass the Microsoft BizTalk Server 2010 (70-595) exam. If you are an intermediate level BizTalk developer who wants to pass the Microsoft BizTalk Server 2010 (70-595) exam, then this book is for you. A working knowledge of fundamental BizTalk concepts around the core messaging engine and building business processes using orchestrations is assumed but not required. In addition, core knowledge of Windows Communication Foundation (WCF) and a basic understanding of Electronic Data Interchange (EDI) is recommended. |
| azure business rules engine: Getting Started with BizTalk Services Karthik Bharathy, Jon Fancey, 2014-03-26 A practical book that acts as a clear and concise introduction to BizTalk Services. Full of real-world scenarios, each area of BizTalk Services is explained in detail, essentially enabling you to smoothly design your own integration solutions with minimal effort. This book is intended for those who want to understand BizTalk Services, what it can do, and how to build integration solutions using it in their organizations. If you are a developer, architect, or project manager, this book will quickly get you acquainted with this powerful cloud integration technology. It would be helpful to have some experience with BizTalk Server; however, this is neither required nor assumed. It is recommended to have a subscription with Windows Azure to try out the examples in the book. |
| azure business rules engine: Azure Modern Data Architecture Anouar BEN ZAHRA, Key Features Discover the key drivers of successful Azure architecture Practical guidance Focus on scalability and performance Expert authorship Book Description This book presents a guide to design and implement scalable, secure, and efficient data solutions in the Azure cloud environment. It provides Data Architects, developers, and IT professionals who are responsible for designing and implementing data solutions in the Azure cloud environment with the knowledge and tools needed to design and implement data solutions using the latest Azure data services. It covers a wide range of topics, including data storage, data processing, data analysis, and data integration. In this book, you will learn how to select the appropriate Azure data services, design a data processing pipeline, implement real-time data processing, and implement advanced analytics using Azure Databricks and Azure Synapse Analytics. You will also learn how to implement data security and compliance, including data encryption, access control, and auditing. Whether you are building a new data architecture from scratch or migrating an existing on premises solution to Azure, the Azure Data Architecture Guidelines are an essential resource for any organization looking to harness the power of data in the cloud. With these guidelines, you will gain a deep understanding of the principles and best practices of Azure data architecture and be equipped to build data solutions that are highly scalable, secure, and cost effective. What You Need to Use this Book? To use this book, it is recommended that readers have a basic understanding of data architecture concepts and data management principles. Some familiarity with cloud computing and Azure services is also helpful. The book is designed for data architects, data engineers, data analysts, and anyone involved in designing, implementing, and managing data solutions on the Azure cloud platform. It is also suitable for students and professionals who want to learn about Azure data architecture and its best practices. |
| azure business rules engine: Recent Developments in Data Science and Intelligent Analysis of Information Oleg Chertov, Tymofiy Mylovanov, Yuriy Kondratenko, Janusz Kacprzyk, Vladik Kreinovich, Vadim Stefanuk, 2018-08-04 This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science. |
| azure business rules engine: Microsoft BizTalk Server 2010 Unleashed Brian Loesgen, 2012 Use orchestration to automate even highly-complex processes -- |
| azure business rules engine: Mastering Azure Machine Learning Christoph Körner, Kaijisse Waaijer, 2020-04-30 Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory. |
| azure business rules engine: Mastering Azure Machine Learning Christoph Korner, Marcel Alsdorf, 2022-05-10 Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended. |
| azure business rules engine: Cognitive Internet of Things Pethuru Raj, Anupama C. Raman, Harihara Subramanian, 2022-03-29 The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: Demystifying the cognitive computing paradigm Delineating the key capabilities of cognitive cloud environments Deep learning algorithms for cognitive IoT solutions Natural language processing (NLP) methods for cognitive IoT systems Designing a secure infrastructure for cognitive IoT platforms and applications |
| azure business rules engine: Mastering Cloud Security Posture Management (CSPM) Qamar Nomani, 2024-01-31 Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environment Key Features Choose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirements Optimize your security posture with expert techniques for in-depth cloud security insights Improve your security compliance score by adopting a secure-by-design approach and implementing security automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learn Find out how to deploy and onboard cloud accounts using CSPM tools Understand security posture aspects such as the dashboard, asset inventory, and risks Explore the Kusto Query Language (KQL) and write threat hunting queries Explore security recommendations and operational best practices Get to grips with vulnerability, patch, and compliance management, and governance Familiarize yourself with security alerts, monitoring, and workload protection best practices Manage IaC scan policies and learn how to handle exceptions Who this book is for If you’re a cloud security administrator, security engineer, or DevSecOps engineer, you’ll find this book useful every step of the way—from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book. |
| azure business rules engine: New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes Luis Norberto López de Lacalle, Jorge Posada, 2020-03-18 Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0. |
| azure business rules engine: Azure Security Bojan Magusic, 2024-01-09 Azure Security is a practical guide to the native security services of Microsoft Azure written for software and security engineers building and securing Azure applications. Readers will learn how to use Azure tools to improve your systems security and get an insider's perspective on establishing a DevSecOps program using the capabilities of Microsoft Defender for Cloud. |
| azure business rules engine: Computational Intelligence Assisted Design Yi Chen, Yun Li, 2018-06-19 Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes |
| azure business rules engine: Enterprise Architecture with .NET Jean-Philippe Gouigoux, 2024-05-31 Write applications in C#/.NET that will stand the test of time, evolving with the information systems they belong to and the services they interoperate with by using standards and solid business-related architecture rules Key Features Learn the principles of business-aligned software architecture Relate theory to several well-known architecture frameworks Apply the knowledge you gain to create a .NET application with a standard-based API Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe software development domain continues to grow exponentially, and information systems have become the backbone of most industries, including non-digital-native ones. However, technical debt, coupling, and a high level of maintenance - sometimes bringing IT systems to a complete halt – continue to present a problem. The software industry has to still apply standards-based, modular, and repeatable approaches that exist in other industries. This book demonstrates such methods in action, particularly business/IT alignment principles. As you progress, you’ll cover advanced concepts and theories currently researched in academia. Then, you’ll be guided toward a practical framework to transfer these approaches to actual software architecture. Finally, a dedicated section will help you apply the knowledge you gain to a sample application in .NET where API design, dependency management, and code writing will be explained in detail to relate to the business-alignment principles explained at the beginning. Throughout the book, you’ll get equipped with the skills to create modular, long-living applications that serve your users better. By the end of this .NET book, you’ll not only have learned new concepts but also gained the ability to apply them immediately to your upcoming software endeavors. What you will learn Comprehend the main problems in real-world software development Understand what business alignment means Create a four-layer map of an information system Become proficient in SOLID, C4, and domain-driven design (DDD) architecture Get up to speed with semantics, APIs, and standards for better interoperability Include BPM, MDM, and BRMS in information systems Design an application with strict responsibility separation Who this book is for This book is for software architects who want to have an in-depth understanding of how their applications will be used and how they can fight technical debt as well as design software to keep it working even when business requirements evolve. If your previous software designs experienced progressive loss of performance and the capacity to evolve, this book is for you. |
| azure business rules engine: SOA Patterns with BizTalk Server 2009 Richard Seroter, 2009-04-24 Implement SOA strategies for Microsoft BizTalk Server solutions with this book and eBook |
| azure business rules engine: The Internet of Things Pethuru Raj, Anupama C. Raman, 2017-02-24 As more and more devices become interconnected through the Internet of Things (IoT), there is an even greater need for this book,which explains the technology, the internetworking, and applications that are making IoT an everyday reality. The book begins with a discussion of IoT ecosystems and the technology that enables them, which includes: Wireless Infrastructure and Service Discovery Protocols Integration Technologies and Tools Application and Analytics Enablement Platforms A chapter on next-generation cloud infrastructure explains hosting IoT platforms and applications. A chapter on data analytics throws light on IoT data collection, storage, translation, real-time processing, mining, and analysis, all of which can yield actionable insights from the data collected by IoT applications. There is also a chapter on edge/fog computing. The second half of the book presents various IoT ecosystem use cases. One chapter discusses smart airports and highlights the role of IoT integration. It explains how mobile devices, mobile technology, wearables, RFID sensors, and beacons work together as the core technologies of a smart airport. Integrating these components into the airport ecosystem is examined in detail, and use cases and real-life examples illustrate this IoT ecosystem in operation. Another in-depth look is on envisioning smart healthcare systems in a connected world. This chapter focuses on the requirements, promising applications, and roles of cloud computing and data analytics. The book also examines smart homes, smart cities, and smart governments. The book concludes with a chapter on IoT security and privacy. This chapter examines the emerging security and privacy requirements of IoT environments. The security issues and an assortment of surmounting techniques and best practices are also discussed in this chapter. |
| azure business rules engine: Family Business Cases Khaula Alkaabi, Veland Ramadani, 2024-01-06 This book provides insights into family businesses in the United Arab Emirates (UAE) using a unique collection of case studies that help gain a comprehensive understanding of UAE family firms' profiles and the ways they respond to everyday challenges and future disruptions. Cases treat different issues from the perspective of family businesses, such as succession, innovation, decision-making, strategic orientation, corporate governance, spatial distribution, SDG alignment, etc. Each case contains learning objectives, discussion questions, and suggested readings in order to help readers understand the topic discussed in the respective cases. This book also showcases the five business ecosystem stakeholders that have supported family businesses in the UAE, such as the UAE Government, free zone authorities, university and research institutions, support agencies, and venture capital companies. Professionals as well as MBA students and researchers involved in the study of family businesses will particularly benefit from this book. |
| azure business rules engine: Secure Communication in Internet of Things T. Kavitha, M.K. Sandhya, V.J. Subashini, Prasidh Srikanth, 2024-05-23 The book Secure Communication in Internet of Things: Emerging Technologies, Challenges, and Mitigation will be of value to the readers in understanding the key theories, standards, various protocols, and techniques for the security of Internet of Things hardware, software, and data, and explains how to design a secure Internet of Things system. It presents the regulations, global standards, and standardization activities with an emphasis on ethics, legal, and social considerations about Internet of Things security. Features: ● Explores the new Internet of Things security challenges, threats, and future regulations to end-users. ● Presents authentication, authorization, and anonymization techniques in the Internet of Things. ● Illustrates security management through emerging technologies such as blockchain and artificial intelligence. ● Highlights the theoretical and architectural aspects, foundations of security, and privacy of the Internet of Things framework. ● Discusses artificial-intelligence-based security techniques, and cloud security for the Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in fields such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. |
| azure business rules engine: Exam Ref SC-300 Microsoft Identity and Access Administrator Razi Rais, Ilya Lushnikov, Jeevan Bisht, Padma Chilakapati, Vinayak Shenoy, 2022-12-30 Prepare for Microsoft Exam SC-300 and demonstrate your real-world ability to design, implement, and operate identity and access management systems with Microsoft Azure Active Directory (AD). Designed for professionals involved in secure authentication, access, or identity management, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Identity and Access Administrator Associate level. Focus on the expertise measured by these objectives: Implement identities in Azure AD Implement authentication and access management Implement access management for applications Plan and implement identity governance in Azure AD This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes that you are an administrator, security engineer, or other IT professional who provides, or plans to provide, secure identity and access services for an enterprise About the Exam Exam SC-300 focuses on the knowledge needed to configure and manage Azure AD tenants; create, configure, and manage Azure AD identities; implement and manage external identities and hybrid identity; plan, implement, and manage Azure Multifactor Authentication (MFA), self-service password reset, Azure AD user authentication, and Azure AD conditional access; manage Azure AD Identity Protection; implement access management for Azure resources; manage and monitor app access with Microsoft Defender for Cloud Apps; plan, implement, and monitor enterprise app integration; enable app registration; plan and implement entitlement management and privileged access; plan, implement, and manage access reviews; and monitor Azure AD. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Identity and Access Administrator Associate certification, demonstrating your abilities to design, implement, and operate identity and access management systems with Azure AD; configure and manage identity authentication and authorization for users, devices, resources, and applications; provide seamless experiences and self-service; verify identities for Zero Trust; automate Azure AD management; troubleshoot and monitor identity and access environments; and collaborate to drive strategic identity projects, modernize identity solutions, and implement hybrid identity and/or identity governance. See full details at: microsoft.com/learn |
| azure business rules engine: Microsoft SQL Server 2014 Business Intelligence Development Beginner’s Guide Reza Rad, 2014-05-26 Written in an easy-to-follow, example-driven format, there are plenty of stepbystep instructions to help get you started! The book has a friendly approach, with the opportunity to learn by experimenting. If you are a BI and Data Warehouse developer new to Microsoft Business Intelligence, and looking to get a good understanding of the different components of Microsoft SQL Server for Business Intelligence, this book is for you. It’s assumed that you will have some experience in databases systems and T-SQL. This book is will give you a good upshot view of each component and scenarios featuring the use of that component in Data Warehousing and Business Intelligence systems. |
| azure business rules engine: IoT Platforms, Use Cases, Privacy, and Business Models Carna Zivkovic, Yajuan Guan, Christoph Grimm, 2020-07-21 This book provides a comprehensive and consistent introduction to the Internet of Things. Hot topics, including the European privacy legislation GDPR, and homomorphic encryption are explained. For each topic, the reader gets a theoretical introduction and an overview, backed by programming examples. For demonstration, the authors use the IoT platform VICINITY, which is open-source, free, and offers leading standards for privacy. Presents readers with a coherent single-source introduction into the IoT; Introduces selected, hot-topics of IoT, including GDPR (European legislation on data protection), and homomorphic encryption; Provides coding examples for most topics that allow the reader to kick-start his own IoT applications, smart services, etc. |
| azure business rules engine: A 360-Degree View of IoT Technologies John Soldatos, 2020-12-31 This exciting book explores the past, present and future of IoT, presenting the most prominent technologies that comprise IoT applications, including cloud computing, edge computing, embedded computing, Big Data, Artificial Intelligence (AI), blockchain and cybersecurity. A comprehensive description of the full range of the building blocks that comprise emerging IoT systems and applications is provided, while illustrating the evolution of IoT systems from the legacy small scale sensor systems and wireless sensor networks, to today’s large scale IoT deployments that comprise millions of connected devices in the cloud and smart objects with (semi)autonomous behavior. It also provides an outlook for the future evolution of IoT systems, based on their blending with AI and the use of emerging technologies like blockchain for massively decentralized applications. The full spectrum of technologies that are closely associated with the term IoT since its introduction are explored. The book also highlights the main challenges that are associated with the development and deployment of IoT applications at scale, including network connectivity, security, and interoperability challenges. First tech sensors, wireless sensor networks and radio-frequency identification (RFID) tags are covered. Machine learning, big data and security issues are also explored. |
| azure business rules engine: Pro SharePoint 2013 Administration Robert Garrett, 2013-05-20 A guide to SharePoint 2013 provides information on its features and capabilities for administrators, covering such topics as social computing, metadata management, backup administration, and business intelligence. |
| azure business rules engine: MSDN Magazine , 2009 |
| azure business rules engine: Banking 4.0 Mohan Bhatia, 2022-05-21 This book shows banking professionals how to leverage the best practices in the industry to build a structured and coordinated approach towards the digitization of banking processes. It provides a roadmap and templates in order to industrialize the financial services firm over iterative cycles. To achieve the planned business and revenue results at the optimal costs, the digital transformation has to be calibrated and coordinated across both the front and back office, scaled and timed against external innovation benchmarks and Fintechs. To this end, data collection and evaluation must be ingrained, banking-specific artificial intelligence methods must be included, and all digitization approaches must be harmonized on an iterative basis with the experience gained. Spread over several chapters, this book provides a calibration and coordination framework for the delivery of the digital bank 4.0. |
| azure business rules engine: Designing Embedded Systems and the Internet of Things (IoT) with the ARM mbed Perry Xiao, 2018-07-23 A comprehensive and accessible introduction to the development of embedded systems and Internet of Things devices using ARM mbed Designing Embedded Systems and the Internet of Things (IoT) with the ARM mbed offers an accessible guide to the development of ARM mbed and includes a range of topics on the subject from the basic to the advanced. ARM mbed is a platform and operating system based on 32-bit ARM Cortex-M microcontrollers. This important resource puts the focus on ARM mbed NXP LPC1768 and FRDM-K64F evaluation boards. NXP LPC1768 has powerful features such as a fast microcontroller, various digital and analog I/Os, various serial communication interfaces and a very easy to use Web based compiler. It is one of the most popular kits that are used to study and create projects. FRDM-K64F is relatively new and largely compatible with NXP LPC1768 but with even more powerful features. This approachable text is an ideal guide that is divided into four sections; Getting Started with the ARM mbed, Covering the Basics, Advanced Topics and Case Studies. This getting started guide: Offers a clear introduction to the topic Contains a wealth of original and illustrative case studies Includes a practical guide to the development of projects with the ARM mbed platform Presents timely coverage of how to develop IoT applications Designing Embedded Systems and the Internet of Things (IoT) with the ARM mbed offers students and R&D engineers a resource for understanding the ARM mbed NXP LPC1768 evaluation board. |
| azure business rules engine: BizTalk Server 2010 Cookbook Steef-Jan Wiggers, 2012-01-01 This book will explain step-by-step in each recipe how to, for example, implement a certain orchestration pattern, test a BizTalk artifact, monitor BizTalk with a third party tool, or secure a message. The recipes in this book are easy to understand and follow as the author discusses real-world scenarios. The range of topics covered in this book will bring out the forward-thinking BizTalk developer in you. The examples are supported by relevant background information for ease of understanding. This book is for professional BizTalk Developers and administrators to take their skills to the next level and explore the numerous capabilities BizTalk has. This book assumes that you have a basic understanding of BizTalk and SOA and BPM concepts. |
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