101 Ready-to-Use Step-by-Step Commands for Dragon Professional
"101 Ready-to-Use Step-by-Step Commands for Dragon Professional"Automate Your PC and Boost Productivity with Dragon Voice CommandsUnlock the power of Dragon Professional Individual and Dragon NaturallySpeaking with this practical guide to Step-by-Step commands-a powerful feature for automating multi-step tasks and boosting productivity.Tired of repetitive tasks? Dragon's Step-by-Step commands let you automate complex workflows with a single voice command-saving you hours of manual work. Whether you use Word, Excel, PowerPoint, MindManager, or other applications, this book delivers 101 pre-built, customizable commands to help you save time, reduce repetitive keyboard and mouse actions, and supercharge your productivity.What Are Dragon Step-by-Step Commands?Step-by-Step commands allow you to run a series of actions with a single voice command, making them ideal for repetitive or multi-step tasks. This book not only gives you pre-built commands for real-world scenarios, but also teaches you how to create your own so you can tailor Dragon to your specific needs.What's Inside?101 pre-built Step-by-Step commands for common tasks in Word, Excel, PowerPoint, MindManager, and more.Clear explanations for each command - NO CODING EXPERIENCE NEEDED!Beginner-friendly instructions for importing, modifying, and using commands right away.In-depth tutorials on building your own Step-by-Step commands to automate personalised workflows.Practical examples that address real-world challenges, helping you work smarter and faster.Who Is This Book For?Professionals (Doctors, Lawyers, Writers, Programmers)Dragon Newbies & Power UsersAnyone who wants to work faster with voice controlWhether you're new to Dragon or a seasoned user, this book serves as both a practical guide and a quick-reference resource you'll return to again and again. Use it as a step-by-step tutorial or a handy reference to find solutions tailored to your workflow. With 101 Ready-to-Use Step-by-Step Commands for Dragon Professional, you'll discover how to maximise Dragon's automation features to reduce manual work, boost efficiency, and accomplish more-faster.* Includes access to downloadable versions of all the commands featured in the book at the companion site: www.dragonspeechtips.com *Compatible with: Dragon Professional Individual 16 and earlierDragon Professional GroupDragon LegalDragon MedicalDragon Medical OneDragon NaturallySpeaking Professional (v11 and above).Take control of your workflow-start automating with Dragon today.
Optimizing Real-Time Analytics
Optimizing Real-Time Analytics is a comprehensive and insightful guide that explores the transformative power of real-time data analysis in today's fast-evolving digital landscape. Written by Ibrahim Olushola, the book bridges the gap between theoretical concepts and practical applications, offering readers a deep understanding of how real-time analytics can drive innovation, efficiency, and competitive advantage across industries.The book begins by establishing the foundational principles of real-time analytics, emphasizing its critical role in modern decision-making. It highlights how organizations can move beyond traditional, retrospective data analysis to harness live insights that enable immediate action. Through clear explanations and real-world examples, the author illustrates how industries such as finance, healthcare, retail, and transportation are leveraging real-time analytics to solve complex challenges, enhance customer experiences, and optimize operations.Beyond technical implementation, Optimizing Real-Time Analytics delves into strategic considerations, ethical implications, and scalability challenges. It examines the integration of emerging technologies like artificial intelligence, machine learning, and edge computing, providing a forward-looking perspective on the future of data-driven intelligence. The book also addresses common pitfalls and missed opportunities, offering actionable strategies to overcome barriers and maximize the potential of real-time insights.Designed for a diverse audience-from data scientists and business leaders to technology enthusiasts-the book balances depth with accessibility. It serves as both a roadmap for professionals seeking to implement real-time analytics and a source of inspiration for those looking to understand its broader impact. With a focus on practical applications, ethical responsibility, and innovative thinking, Optimizing Real-Time Analytics empowers readers to transform data into a dynamic tool for growth, adaptability, and meaningful change in an increasingly interconnected world.
PostgreSQL Mistakes and How to Avoid Them
Recognize and avoid these common PostgreSQL mistakes! The best mistakes to learn from are ones made by other people! In PostgreSQL Mistakes and How To Avoid Them you'll explore dozens of common PostgreSQL errors so you can easily avoid them in your own projects, learning proactively why certain approaches fail and others succeed. In PostgreSQL Mistakes and How To Avoid Them you'll learn how to: - Avoid configuration and operation issues - Maximize PostgreSQL utility and performance - Fix bad SQL practices - Solve common security and administration issues - Ensure smooth migration and upgrades - Diagnose and fix a bad database As PostgreSQL continues its rise as a leading open source database, mastering its intricacies is crucial. PostgreSQL Mistakes and How To Avoid Them is full of tested best practices to ensure top performance, and future-proof your database systems for seamless change and growth. Each of the mistakes is carefully described and accompanied by a demo, along with an explanation that expands your knowledge of PostgreSQL internals and helps you to build a stronger mental model of how the database engine works. Foreword by Gianni Ciollil. About the technology Fixing mistakes in PostgreSQL databases can be time-consuming and risky--especially when you're making live changes to an in-use system. Fortunately, you can learn from the mistakes other Postgres pros have already made! This incredibly practical book lays out how to find and avoid the most common, dangerous, and sneaky errors you'll encounter using PostgreSQL. About the book PostgreSQL Mistakes and How To Avoid Them identifies Postgres problems in key areas like data types, features, security, and high availability. For each mistake you'll find a real-world narrative that illustrates the pattern and provides concrete recommendations for improvement. You'll especially appreciate the illustrative code snippets, schema samples, mind maps, and tables that show the pros and cons of different approaches. What's inside - Diagnose configuration and operation issues - Fix bad SQL code - Address security and administration issues - Ensure smooth migration and upgrades About the reader For PostgreSQL database administrators and application developers. About the author Jimmy Angelakos is a systems and database architect and PostgreSQL Contributor. He works as a Senior Principal Engineer at Deriv. Table of Contents 1 Why PostgreSQL matters--and why talking about mistakes does too 2 Bad SQL usage 3 Improper data type usage 4 Table and index mistakes 5 Improper feature usage 6 Performance bad practices 7 Administration bad practices 8 Security bad practices 9 High availability bad practices 10 Upgrade/migration bad practices 11 PostgreSQL, best practices, and you: Final insights A Frogge Emporium database B Cheat sheet Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Build Financial Software with Generative AI (from Scratch)
Build working and regulation-compliant financial software--from scratch! The software used by banks, trading firms, and other financial services has special requirements at every level, from securing the UI to making sure backend services comply with a host of regulations. Build Financial Software with Generative AI (From Scratch) shows you how to deliver full stack financial services software--and how generative AI can make you even more productive. In Build Financial Software with Generative AI (From Scratch) you will: - Explore the core concepts of FinTech - Speed development with generative AI tools - Develop and deploy containerized services - Create and document APIs - Effectively visualize your data In Build Financial Software with Generative AI (From Scratch) you'll build working software for processing Automated Clearing House (ACH) files, a cornerstone technology of banking that moves trillions of dollars every year. You'll work with generative AI technology throughout the full stack application, including researching the tech for your application, spinning up a bare bone starting project, answering domain questions, clarifying functionality, and troubleshooting. Along the way, you'll learn what sets FinTech projects apart from normal web apps. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology The financial industry is awash with regulatory and compliance challenges, complex technical requirements, and stringent security demands. There's a huge demand for developers who can create financial services software and this book will get you started. You'll build your own FinTech app from the ground up--with a big productivity boost from Generative AI! About the book Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application, layer-by-layer. You'll start with a quick review of FinTech basics and an introduction to GenAI tools. Then, you'll develop a data visualization dashboard with React, containerize components with Docker, create and refine APIs, implement backend processing, and even design a custom database. Throughout, you'll see how AI tools aid with coding, testing, research, security, documentation, and even Agile practices. What's inside - Learn the core concepts of FinTech development - Create and document APIs using Generative AI - Build an awesome data visualization dashboard About the reader Examples are in Python. No experience with generative AI or financial services required. About the author Christopher Kardell and Mark Brouwer have both spent more than 20 years working in the Fintech industry. Table of Contents Part 1 1 Exploring FinTech and generative AI 2 Parsing payments Part 2 3 Getting started with Docker 4 APIs: The piping between our components 5 Storing our ACH files 6 Taking the next step with Next.js 7 Our minimum viable product Part 3 8 Exceptions 9 Searching and auditing 10 Company information 11 International ACH transactions and OFAC scanning 12 Where to go from here
Microservices with Go - Second Edition
This second edition walks you through the full lifecycle of Go microservice development, from scaffolding and system design to cloud-native rollout. Learn to secure, observe, and fine-tune services that stay responsive under load.Key Features: - Design and deploy scalable microservices using gRPC, Protocol Buffers and Kubernetes- Discover industry best practices and gain insights into Go microservice development tools, patterns, and solutions- Work with hands-on Golang microservice examples in each chapter- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Microservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them.The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services.By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.What You Will Learn: - Leverage event-driven architecture and messaging patterns for efficient microservice communication- Automate testing, CI/CD pipelines, and deployment strategies for Go microservices- Establish secure communication between microservices- Optimize microservice performance by monitoring, profiling, and debugging techniques- Get hands-on experience in cloud-native observability and deployment tools- Explore solutions to advanced distributed system scenarios, such as leader electionWho this book is for: This book is for all types of developers, from individuals interested in learning how to write microservices in Go to seasoned professionals who want to master the art of writing scalable and reliable microservice-based systems. A basic understanding of Go will come in handy.Table of Contents- Introduction to Microservices- Scaffolding Go Microservices- Service Discovery- Serialization- Synchronous Communication- Asynchronous communication- Persistence and Databases- Setting Up Service Deployments- Unit and Integration Testing- Security and Compliance- Reliability Overview- Setting up Service Alerting- Collecting Service Telemetry Data- Solving Distributed System Challenges- Performance Monitoring- Other Topics
Applied Computational Intelligence, Informatics and Big Data
This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 26-28, 2024. The 3 full papers and 15 shot papers were carefully reviewed and selected from 56 submissions. This Proceedings cover topics on Internet of Things, Information Communication Technology, Edge Computing, Mobile Computing, Neural Network, Intelligent Control System, Real-Time Information System, Intelligent Perception and many other cutting-edge fields and disciplines.
Data Mining and Business Intelligence
DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding.Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices.WHAT YOU WILL LEARN● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively.● Master data mining, BI principles, regression, classification, association rules, and clustering.● Design BI architectures, ETL processes, data warehouses, and effective data visualizations.● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations.WHO THIS BOOK IS FORThis textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence.
Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Intelligent Iot Analytics
This complete guide explores the potential of big data and the Internet of Things (IoT) as it examines smart city development. Part I defines IoT and its role in creating a more efficient and livable urban environment. The fundamentals of Big Data are discussed along with "4 V's" (volume, velocity, variety, and veracity). Part II tackles the design and architecture of IoT Big Data platforms and covers choosing the right technology stack, whether open source or proprietary solutions, ensuring the best fit for a city's needs. Part III considers the technical aspects of core IoT principles, exploring sensors, communication networks, and how these devices function in real-world applications. It provides the knowledge to manage data pipelines, ensuring reliable data transfer, and design. Finally, Part IV includes the real-world applications of these technologies examining the potential of IoT in smart public services, smart wastewater, and energy management, and exploring efficiency and innovation in building management. This book arms readers with the knowledge and tools to navigate the world of smart city development. By employing the power of IoT and Big Data, cities will be more sustainable, effective, and livable in the future.
Computational Intelligence Methods for Bioinformatics and Biostatistics
This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, Italy, during September 4-6, 2024. The 24 full papers and 3 short papers were carefully reviewed and selected from 28 submissions. They were organized in the following topical sections: Bioinformatics; Medical Informatics; Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics; Modeling and Simulation Methods for Computational Biology and Systems Medicine; Machine Learning for Structured Data in Clinical Informatics and Medical Biology; Computational Intelligence in Personalized Medicine; and Computational Structural Bioinformatics.
Tableau Certified Data Analyst Study Guide
In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization platforms. This study guide offers practical and comprehensive preparation for the certification exam, with walk-throughs, best practices, vocabulary, and example questions to help you build both confidence and competence in Tableau. Written by Christopher Gardner, business intelligence analyst and lead Tableau developer at the University of Michigan, this guide supports first-time test-takers and seasoned users alike. You'll begin with foundational skills in Tableau Prep Builder and Tableau Desktop--connecting, combining, and preparing data--before progressing to building effective visualizations, performing calculations, and applying advanced tools like level-of-detail expressions, parameters, forecasts, and predictive analytics. Read, manipulate, and prepare data for analysis Navigate Tableau's tools to build impactful visualizations Write calculations and functions to enhance your dashboards Share your work responsibly with secure publishing options
Modelling and Development of Intelligent Systems
This book CCIS 2486 constitutes the refereed proceedings of the 9th International Conference on Modelling and Development of Intelligent Systems, MDIS 2024, held in Sibiu, Romania, during October 17-19, 2024. The 16 full papers were carefully reviewed and selected from 42 submissions. The MDIS 2024 focuses on Machine Learning, Intelligent Systems for Decision supports, Modelling and optimization of Dynamic Systems, Evolutionary Computing and Metaheuristics, Security and Cryptography in Dynamic Systems.
Big Data Management and Analytics
As more companies go digital and conduct their business online, this book provides practical examples of how they can better manage their data and use it to generate maximum value. It offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.Big Data Management and Analytics: Concepts, Tools, and Applications illustrates effective strategies for managing, governing, and analyzing big data to gain a competitive edge for companies utilizing big data and analytics. It offers a comprehensive guide on methods, tools, and concepts to efficiently manage and analyze big data in order to make informed decisions. Additionally, this book explores the significance of artificial intelligence and machine learning in leveraging big data and how they can be optimized in a well-structured environment. This book also emphasizes treating big data as a valuable asset and outlines strategies for preserving and safeguarding it like any other corporate asset. The inclusion of case studies ensures that the methodologies and concepts presented can be easily implemented in day-to-day operations.Given the current significance of big data in the business world, this book equips readers with the necessary skills to effectively manage this valuable asset. It is tailored for practitioners, students, and professionals working in data mining, big data, and machine learning across various industries, including manufacturing.
Computational Intelligence Methods for Bioinformatics and Biostatistics
The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 6-8, 2023. The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine.
Navigating the Data Minefields
Volumes have been written on the need for high-quality data to support organizational decision-making. Navigating the Data Minefields: Management's Guide to Better Decision-Making provides executives and SMEs with a 'reasonable' set of (useful) tools they can adapt to their specific organization and operating environment.
Deep Learning Recommender Systems
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.
An Agile Data Guide to Information Product Canvas
Are you tired of spending valuable time documenting data requirements, only to hear "that's not what I wanted"?Do you feel like a "data order taker" instead of a trusted partner driving meaningful outcomes?Is your team struggling because stakeholders speak a "very different language" when it comes to data?Are traditional requirements gathering methods leaving you with ambiguous needs, leading to wasted effort and projects that underdeliver?If you answered yes to any of these, then An Agile Data Guide To Information Product Canvas is for you. This isn't just another tech or methodology heavy book, it's the beginning of your journey into a set of proven patterns and pattern templates designed to change how you gather data requirements and deliver organisational value.Created by Shane Gibson, Agile Data Coach and author of the Agile Data Guides, this book introduces the Information Product Canvas, a clear, concise pattern template to capture data and information needs in a repeatable way.Imagine capturing requirements in just 30 minutes using a shared language that everyone understands, no matter their role or technical skill. This guide shows you how to visually collaborate with stakeholders, validate requirements as you go, and clearly define scope boundaries from the start.By linking what stakeholders want with why they need it, you'll connect every piece of data work to tangible business outcomes.Avoid building dashboards, reports, datasets, or APIs no one uses. Deliver Information Products that reduce churn, grow revenue, or drive efficiency-because they're tied to real goals.This guide is built for Business Analysts, Product Managers, Data Analysts, Data Engineers, Data Leaders, Agile Coaches, and Stakeholders alike. Inside, you'll learn how to: Capture stakeholder needs clearly and get immediate feedbackEmpower data teams with exactly what they need, without the fluffHelp stakeholders prioritise what matters mostMinimise rework and reduce frustrating back-and-forthAccelerate delivery of valuable Information ProductsTranslate business problems into data workBuild trust by consistently delivering what's importantWith over 35 years of experience in the data world. and a decade coaching teams. Shane shares practical tools to help your team deliver value earlier and enjoy the process.An Agile Data Guide to Information Product Canvas is just the start. Keep learning with the companion website, virtual in-person course, or get instant help from the AgileData.Coach AI Chatbot.Ready to begin your journey?
Microsoft Power Bi for Dummies
Make smarter business decisions with Microsoft PowerBI Microsoft PowerBI For Dummies gives you the foundation you need to use this powerful software platform to manage your data and gather insight for making better decisions. With PowerBI, you can visualize, model, and interpret large datasets, quickly revealing insights that once took weeks to dig out. This book takes you through the basics of getting your data ready, preparing your analysis, and creating reports. Then, you'll dig into more advanced features using DAX--the PowerBI programming language--even if you have no prior programming experience. This edition covers the latest updates to the software, including AI integration, enhanced customization, and improved real-time collaboration tools. Transform raw data into meaningful information and make data-driven decisions Import datasets and create dashboards, visualizations, and reports Use the Copilot AI assistant to speed up workflows and simplify tasks Integrate PowerBI with other Microsoft services like Excel and Azure Businesses of all sizes can use PowerBI to manage their data. With Microsoft PowerBI For Dummies, you can quickly and easily set up PowerBI, learn the fundamentals, and handle complex reporting.
Stakeholder Whispering
Learn to uncover what your managers, clients, customers and other stakeholders need before doing what they ask People don't know what they need. The wants we communicate to others are shaped by our subconscious and the familiar, and limited by what we think is possible. But they don't always reflect our actual needs. In Stakeholder Whispering: Uncover What People Need Before Doing What They Ask, author Bill Shander demonstrates how to get from your stakeholders' "order"--what they're asking for--to what they really need. You'll learn how to uncover the needs and desires of your clients, colleagues, bosses, customers, and other stakeholders based on what they ask for and how they ask for it, and how to deliver products and services that meet those needs. Inside the book: Help your stakeholders accomplish their goals and make the best decisions possible by helping them see what they really need Shift from executing on tactics driven by others' commands, to strategic action driven by underlying needs Transform your organization from one filled with "order-takers" into one where people work collaboratively to meet goal-oriented requirements Perfect for managers, executives, and other business leaders, Stakeholder Whispering will also earn a place on the bookshelves of entrepreneurs, founders, designers, product and project managers, UX experts, data and business analysts, and anyone else hoping to better meet the expectations of their coworkers, managers, clients, and customers.
Azure Cloud Projects
Learn Microsoft Azure from the ground up-master the fundamentals, build simple cloud applications, and gain real-world experience with each projectKey Features: - Understand the core concepts of Azure, including its architecture and primary services- Learn to build full-fledged Azure projects-from web apps to containerized solutions- Start with Azure basics and move to advanced topics like DevOps, security, and cost optimization- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Want to get hands-on with Azure and boost your cloud solution skills by working on real-world projects? Azure Cloud Projects is your go-to resource. Written by a seasoned Microsoft Cloud Technologies Architect renowned for his expertise in crafting innovative solutions, this hands-on guide will empower you to build real-world applications using Microsoft Azure.Through hands-on projects, you'll explore core cloud concepts and gain the experience needed to confidently launch your cloud career. The chapters help you build a strong foundation in cloud computing and Azure services, including how to set up your Azure account and navigate the portal. You'll learn how to develop increasingly complex solutions as you progress-from configuring networks and deploying web apps to managing databases and containers. Advancing through the chapters, you'll learn how to implement identity and access controls with Entra ID, automate workflows using Azure Functions, build a CI/CD pipeline with Azure DevOps, and optimize cloud costs for scalable growth.By the end of this book, you'll have a solid grasp of Azure's capabilities and a portfolio of practical projects that showcase your job-ready skills and set you up for success in entry-level cloud roles.What You Will Learn: - Set up Azure and explore cloud fundamentals- Implement Entra ID and hybrid identity solutions- Build and secure storage with Azure Blob Storage- Design virtual networks and configure VPN gateways- Deploy your first web app using Azure App Service- Automate workflows with Azure Functions- Create CI/CD pipelines with Azure DevOpsWho this book is for: If you're new to cloud computing and want to build a solid foundation in Microsoft Azure, this book is for you. Ideal for aspiring cloud engineers, junior developers, IT support staff, and tech enthusiasts, it offers simple, step-by-step guidance to help you learn by doing. No prior Azure experience is needed-just a basic understanding of cloud concepts and familiarity with programming.Table of Contents- Introduction to Azure and Cloud Computing- Implementing Entra ID and Hybrid Connectivity- Implementing Azure Storage Solutions- Understanding the Azure Network Topology, Design Principles, and Best Practices- Implementing a Serverless Solution- Principles and Practices of Scalable Data Management- Building a Continuous Integration and Continuous Delivery Pipeline- Designing and Building a Containerized Solution on Azure- Enhancing Security and Compliance in an Azure Project- Developing a Cloud Cost Optimization Strategy
Data Science Foundations
While data science is powering most modern organisations its technical intricacies often remain confined to a select few. This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman's terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies. Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.
Tableau at Work
Tableau at Work is the perfect book for anyone who wants a comprehensive guide and reference to Tableau, from beginners and novices all the way to advanced and professional users.
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Периодическое многопрофильное научно-техническое печатное издание
Data Migration Framework
Are you prepared for the inevitable?Every enterprise system in use today will eventually become a legacy system. When that moment arrives, the difference between a smooth transition and a catastrophic failure is having a well-defined data migration strategy.This book is not about just moving data from Point A to Point B. It's about understanding why legacy system decommissioning is a high-stakes business transformation, not just an IT project. Based on a decade of hands-on experience, real-world case studies, and industry best practices, this book provides a proven 10-component framework to help executives, project managers, and technical teams confidently navigate the complexities of data migration.Inside, you'll learn: How to define the right migration scope-and avoid unnecessary costs and risksThe role of data quality, governance, and compliance in a successful migrationCommon pitfalls that derail data migration projects-and how to avoid themWhy post-migration monitoring is critical-with real-world lessons from failed projectsHow to align people, process, and technology for seamless execution Written in a clear, practical, and experience-driven style, this book delivers actionable insights drawn from real-world data migration projects. Whether you're an executive making strategic decisions or a technical leader responsible for execution, this guide will help you navigate your next data migration project with clarity, control, and confidence. Don't let your legacy system dictate your future. Be prepared. Migrate smart.
ICT Innovations 2024. Techconvergence: Ai, Business, and Startup Synergy
This CCIS post conference volume constitutes the proceedings of the 16th International Conference on ICT Innovations, ICT Innovations 2024, held in Ohrid, North Macedonia, in September 2024. The 21 full papers included in this book were carefully reviewed and selected from 61 submissions. The papers covered a wide range of topics, including machine learning, network science, digital transformation, natural language processing.
Natural Language Processing
This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI. Additionally, it includes seven step-by-step NLP workshops, totaling 14 hours, that offer hands-on practice with essential Python tools, including NLTK, spaCy, TensorFlow, Keras, Transformers, and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.
The Connectives in Logic and Language
Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 4th Tsinghua Interdisciplinary Workshop on Logic, Language, and Meaning, TLLM 2024, held in Beijing, China during in March 29-31, 2024.The 8 full papers were carefully reviewed and selected from 49 submissions. This workshop also focused on the apparently simpler connectives expressing (various versions of) conjunction, disjunction, and negation.
Demystifying Big Data Analytics for Industries and Smart Societies
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. It has an in-depth coverage of big data analytics, machine learning algorithms, spatial data analytics, and IoT-based smart systems.
Mobility Data Science
This textbook covers the key topics in mobility data analysis, including all steps of the data science pipeline illustrated with real-world examples. The book is composed of three parts. Part I "Fundamental Concepts" provides the background for this book by introducing spatial and temporal databases and motivating the need for mobility databases. Further chapters in this part are devoted to a formal model for representing mobility data, an introduction to mobility data visualization, and the topic of querying mobility databases. Part II "Advanced Topics" covers topics such as query processing and indexing, illustrated with PostgreSQL, introduces mobility data warehouses using synthetic data, and concludes with distributed mobility databases. Part III "Mobility Analytics" covers important topics like mobility data cleaning, including the identification of erroneous data, and mobility analysis using foundational algorithms for spatial and mobility data. It also includes an urban mobility use case that illustrates the concepts presented throughout the book in a real application setting. This textbook is written for undergraduate and graduate computer science courses on mobility data science. As such, it follows a pedagogical style to make the work of the instructor easier and to help students to understand the concepts being delivered, complementing the presentation with exercises and a companion GitHub repository. SQL is used as a high-level language for analytics, allowing students to write complex data science code, while abstracting away implementation details. Researchers and practitioners who are interested in an introduction to the area of mobility data science will also find the book a useful reference.
From Numbers to Narratives that Transform Businesses
This book is a blend of practical knowledge, inspiring narratives, and interactive elements. It strikes a balance between providing a solid foundation in data storytelling principles and offering actionable steps for readers to implement in their own work.
Data Analytics in Finance
The book covers the methods and application of data analytics in all major areas of finance. It introduces statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis.
Chatbots and Human-Centered AI
This book constitutes the refereed proceedings of the 8th International Workshop on Chatbots and Human-Centered AI, CONVERSATIONS 2024, held in Thessaloniki, Greece, during December 4-5, 2024. The 12 full papers and 3 short papers were carefully reviewed and selected from 35 submissions. They were organized in topical sections as follows: Understanding and Designing for Human-AI Interactions; Human-Centred AI in Education and Social Support; Conversational AI for Citizens and Customers.
Process Mining Workshops
This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024. The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions. The papers presented in this volume stem from the following workshops: - 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) - 3rd International Workshop on Education Meets Process Mining (EduPM) - 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS) - 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) - 5th International Workshop on Event Data and Behavioral Analytics (EdbA) - 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) - 1st International Workshop on Empirical Research in Process Mining (ERPM) - 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM) - 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM) - 1st International Workshop on Process Mining for Sustainability (PM4S).
Corpus-Based Studies in Specialized Discourses
This book illustrates the complex ways language operates within specific professional and academic contexts. Through a series of meticulously conducted corpus-based studies, the volume explores the unique linguistic features and rhetorical strategies that characterize specialized discourses across various fields, including medicine, engineering, and the humanities. It examines key aspects such as metadiscourse markers, rhetorical structures of research articles, and the customization of vocabulary tools to enhance language learning and professional communication. By revealing patterns and trends that traditional methods might overlook, this collection offers valuable insights for scholars, educators, and practitioners, making it an essential resource for understanding and improving communication withinspecialized domains.
Database Engineered Applications
This LNCS conference volume constitutes the proceedings of 28th International Symposium on Database Engineered Applications, IDEAS 2024, in Bayonne, France, in August 2024. The 21 full papers together with 5 short papers included in this volume were carefully reviewed and selected from 34 submissions. The symposium presents papers in the broader field of data management and were organized in seven sessions: (1) Theoretical Issues; (2) Classification; (3) Text and Languages; (4) Big Data; (5) Query Processing and Applications; (6) Machine Learning and Rules; (7) Recommendation, and (8) Indexing and Event Detection
Fundamentals of Software Architecture
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics. Mark Richards and Neal Ford--hands-on practitioners who have taught software architecture classes professionally for years--focus on architecture principles that apply across all technology stacks. You'll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture styles and patterns: Microservices, modular monoliths, microkernels, layered architectures, and many more Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, collaboration, business engagement models, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years, including cloud considerations and generative AI Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
