Databaser

Learn how to use ArcGIS Pro with this best-selling, step-by-step workbook and desk reference.   Getting to Know ArcGIS Pro 3.6 explains the basics of how a geographic information system (GIS) works as it teaches readers how to use ArcGIS Pro, the world’s most powerful desktop GIS software.   Readers will follow simple step-by-step instructions, accompanied by more than 300 full-color images, to learn core analytic and mapmaking skills.  Topics include:  ArcGIS and ArcGIS Online basicsGeospatial data management, geoprocessing, and Python toolsMap layoutsSpatial analysis Throughout the book, case studies of real-world GIS applications show how ArcGIS Pro has been used to solve complex issues. Each chapter uses a real-world exercise dataset, and the chapters are designed to build on each other, providing practical, progressive learning. At the conclusion of every chapter, a summary reinforces the skills covered. The book also includes a glossary of technical terms. Getting to Know is the best-selling series that has been guiding readers in learning about GIS for more than 20 years. Ideal for students, self-learners, and professionals who want to learn the premier GIS desktop application, Getting to Know ArcGIS Pro 3.6 is a textbook and desk reference designed to show users how to use ArcGIS Pro successfully.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? How do you make sense of all these buzzwords?In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.Peer under the hood of the systems you already use, and learn to use them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures

This book gives a condensed introduction to information systems and their use in companies and organisations. Their role in organisations and how they can contribute to a successful enterprise is explained. The book has a non-technical focus, but introduces fundamental technical concepts and vocabulary, such as computer parts, data storage, databases and networks. The fundamentals of systems development are explained. Attention is also given to ethical aspects of information systems and their role in society. Particularly suitable for introductory courses in business and information systems, the book equips readers with the essential knowledge of information systems required in any modern organisation.The third edition is updated with extended content on emerging topics such as AI. Discussions on privacy, risk, and information sharing have been expanded, and new study questions have been added to support learning.

International bestseller with over half a million copies sold!Celebrate a decade of data storytelling with this special 10th anniversary edition of Storytelling with Data. Featuring refreshed visuals, expanded content, and new insights, this collector's edition builds on the classic's foundational lessons, empowering you to craft persuasive data stories.Don't simply show your data—tell a story with it!Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.Specifically, you'll learn how to: Understand the importance of context and audienceDetermine the appropriate type of graph for your situationRecognize and eliminate the clutter clouding your informationDirect your audience's attention to the most important parts of your dataThink like a designer and utilize concepts of design in data visualizationLeverage the power of storytelling to help your message resonate with your audienceTogether, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it.

**From BBC presenter and journalist Ros Atkins, creator of the viral 'Ros Atkins on...' explainer videos and host of the forthcoming BBC Radio 4 podcast 'Communicating with Ros Atkins'**'A great read for polishing your communication skills' FORBES 'For all those who want their audiences to listen and understand' JEREMY BOWEN 'Precision, deftness and a calming expertise' THE TIMES Do you worry about holding people's attention during presentations?Are you unsure where to start when faced with writing an essay or report?Are you preparing for an interview and wondering how to get all your points across?Explanation - identifying and communicating what we want to say - is an art. And the BBC presenter and journalist Ros Atkins, creator of the viral 'Ros Atkins on...' explainer videos, is something of a master of the form. In this book, Ros shares the secrets he has learned from years of working in high-pressure newsrooms, identifying the ten elements of a good explanation and the seven steps you need to take to express yourself with clarity and impact.Whether at work, school, university or home, we all benefit from being able to articulate ourselves clearly. Filled with practical examples, The Art of Explanation is a must-read for anyone who wants to sharpen their communication skills.

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligenceBegins with fundamental design recommendations and progresses through increasingly complex scenariosPresents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and moreDraws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and moreDesign dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.

This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python.The second edition has been completely updated for the latest versions of Python including Python 3.11 and Python 3.12. New chapters have been added such as those that consider where and how Python is used, the use of Frozensets, how data can be sorted, enumerated types in Python, structural pattern matching and how (and why) Python Virtual Environments are configured. A new chapter ‘The Python Bites back’ is introduced to present the fourteen most common / biggest gotchas for someone new to Python. Other sections have been updated with new features such as Exception Groups, string operations and dictionary operations.A Beginners Guide to Python 3 Programming second Edition provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

Databaser är en fundamental byggsten inom IT och har en central betydelse för att individer, företag, organisationer och samhällen ska kunna verka i modern tid. Denna bok lär ut databaser och SQL från grunden. Bokens primära fokus är på relationsdatabaser där kodexempel demonstreras i databashanterarna MySQL och Microsoft SQL Server (MSSQL). Boken har även ett kapitel som täcker icke-relationella databaser. Eftersom boken lär ut databaser och SQL från grunden innebär det att inga förkunskaper inom dessa områden förutsätts. Boken kan användas i kurser av olika slag inom exempelvis yrkeshögskolan, företag eller andra organisationer. Boken lämpar sig också för självstudier. Även de som har viss erfarenhet av databaser och SQL kan med fördel läsa boken för att få en gedigen grund. Smakprov för boken finns på dess hemsida: https://github.com/AntonioPrgomet/laer_dig_databaser_och_sql_1uppl

Denna bok ger en introduktion till relationsdatabaser och en pedagogiskt upplagd genomgång av SQL-språket. Syftet är att förmedla kunskaper som behövs för att någorlunda kunna förstå en databas uppbyggnad och för att kunna ställa frågor mot databasen. Boken kan användas som kurslitteratur på databaskurser eller som en självstudiebok. Förftattarna är lärare vid högskolan i Luleå och har mångårig erfarenhet av undervisning i relationsdatabaser och SQL-språket.

Your complete guide to Excel 365, written for newbies all the way to seasoned professionals Neatly organised and written using accessible language, Microsoft Excel 365 Bible contains everything that readers need to know to get up and running quickly with Excel. Covering the numerous updates to Excel 365 since the previous edition was published in 2022, this Second Edition contains many useful examples and tips and tricks that cover all essential aspects of Excel—from the basics, such as navigating the user interface, to more advanced topics, such as creating visualisations and crafting custom functions. Written by an accomplished team of authors with decades of Excel and business intelligence experience, this book explores topics including: Entering and editing worksheet data, with information on data types, formulas, dates, times and other cell contentsBuilding formulas with Excel table objects, correcting common formula errors and using formula variablesWorking with data series, changing basic chart elements and making use of chart customizationLoading data from other sources, performing common transformations and applying conditional logicMicrosoft Excel 365 Bible earns a well-deserved spot on the bookshelves of all professionals and individuals seeking to get the most out of Excel 365, from beginners with limited knowledge of the software all the way to advanced users with years of experience under their belts.

Winner of the 2019 International Cartographic Conference – Educational Products awardA lavishly illustrated reference guide, Cartography. by Kenneth Field is an inspiring and creative companion along the nonlinear journey toward making a great map. This sage compendium for contemporary mapmakers distills the essence of cartography into useful topics, organized for convenience in finding the specific idea or method you need. Unlike books targeted to deep scholarly discourse of cartographic theory, this book provides sound, visually compelling information that translates into practical and useful tools for modern mapmaking. At the intersection of science and art, this book serves as a guidepost for designing an accurate and effective map.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

Databasteknik används nästan överallt i dag där data behöver lagras och bearbetas. Allt från webbplatser till mobilappar lagrar sina data i databaser. Databaser har därför blivit ett av de områden inom datatekniken som man har störst nytta av att kunna, vare sig man är användare, datatekniker eller programmerare.Boken Databasteknik börjar med grunderna om databaser, som scheman, datamodellering och användningsområden för databaser. Vi går vidare bland annat med frågespråk, transaktionshantering, säkerhet, prestanda och hur databashanteraren arbetar internt.Den vanligaste och populäraste typen av databaser är relations­databaser, och tyngdpunkten ligger därför på dem, bland annat med frågespråket SQL, och vi beskriver system som MySQL, PostgreSQL och Microsoft SQL Server. Men vi vänder oss till alla som arbetar med databaser, även till exempel objektorienterade databaser och NoSQL-databaser.

Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether you're using Power BI, Excel, or other Microsoft products, Power Query's capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, you'll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, you'll possess the expertise to handle any data and convert it into actionable insights.

You will learn how to:

Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits Combine data from various sources, multiple queries, and mismatched tables with ease Reshape tables to suit your analysis needs Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements Address and overcome collaboration challenges by using Power Query's powerful features Gain crucial insights from text feeds by enhancing your data analysis capabilities Profile data, diagnose queries, improve query performance, and more!

About This Book

For everyone who wants to get more done with Power Query in less time For business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data

Learn to research, plan, design, and test the UX of AI-powered products Unlock the future of design with UX for AI—your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman—a seasoned UX designer and AI strategist—delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. Inside the book: Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects.Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more.Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design.Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value.Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.

This second edition of The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across a wide range of disciplines. This fully updated edition adds several new topics, including XR (extended reality) and AI (artificial intelligence), as well as a companion website developed in parallel with the chapters and providing extended ''how-to'' examples to enable students and teachers to follow step-by-step demonstrations of tools or platforms.Written in an accessible and engaging manner, this book is focused on the principles and fundamental concepts for application and each chapter contains case study examples of projects, tools and platforms that demonstrate these principles in action. This book clearly details how to integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining, mapping, and web presentation with issues in intellectual property, sustainability, privacy, and the ethical use of information. By combining practical information and critical issues, the book demonstrates that no application of digital humanities can be separated from ethical and critical concerns.This book is structured to complement courses on digital humanities and provides a series of modules, each of which is organized around a set of concerns and topics, thought experiments and questions, as well as discussions of the ways in which tools and platforms work. Each chapter contains an introduction to the topic, examples of current (and sometimes classic) work being done in the field, a set of exercises to explore the hands-on experience, references, and recommended readings. The Digital Humanities Coursebook will therefore be an indispensable guide for anyone teaching or studying a course in the areas of digital humanities, library and information science, English, or computer science.

Your life online is their product.In the past, colonialism was a landgrab of natural resources, exploitative labour and private property from countries around the world. It promised to modernise and civilise, but actually sought to control. It stole from native populations and made them sign contracts they didn’t understand. It took resources just because they were there.Colonialism has not disappeared – it has taken on a new form.In the new world order, data is the new oil. Big Tech companies are grabbing our most basic natural resources – our data – exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. Every time we unthinkingly click ‘Accept’ on Terms and Conditions, we allow our most personal information to kept indefinitely, repackaged by big Tech companies to control and exploit us for their own profit.In this searing, cutting-edge guide, two leading global researchers – and founders of the concept of data colonialism – reveal how history can help us both to understand the emerging future and to fight back.

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.What You Will LearnUse Query Store to understand and easily change query performanceRecognize and eliminate bottlenecks leading to slow performanceTune queries whether on-premises, in containers, or on cloud platform providersImplement best practices in T-SQL to minimize performance riskDesign in the performance that you need through careful query and index designUnderstand how built-in, automatic tuning can assist your performance enhancement effortsProtect query performance during upgrades to the newer versions of SQL ServerWho This Book Is ForDevelopers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Det är väldigt lätt att luras med diagram. Medvetet eller inte. Många kör i diket. Några kanske tror att informationen ger dem sanningen när den visas i ett diagram, men när de tittar närmare inser de att de har blivit lurade. I den här boken lär du dig både hur du luras med diagram och hur du kan göra rätt. Nej, författaren tycker inte att du ska luras – på något sätt. Snarare vill han visa dig knepen så att du känner igen dem nästa gång du ser reklam för en produkt eller en sammanställning i en tidning. Den här boken handlar inte om hur du gör diagram i Excel. Den handlar faktiskt inte om hur du gör diagram i något program (för du kan lika gärna rita dem på en servett). Istället vill David Stavegård visa dig hur du kan bli bättre på att tänka kring diagram. Hur du kan göra smartare diagram genom att först fundera på vad du vill säga och hur du hjälper mottagaren att se vad du ser i siffrorna. Så om du är nyfiken på hur du kan tänka smartare och på så sätt enklare få fram ditt budskap, då är den här boken för dig. Innehållsförteckning Smartare, tydligare och roligare Visa ingenting – berätta istället Skillnaden mellan diagram, graf och dataset Några fundamentala principer Viktiga punkter att tänka på Från data till ett färdigt diagram Hantverket att skapa diagram När passar vilket diagram? När du jämför stort och smått Ljug med diagram 5 knep för snyggare grafer Presentationen styr poängen Det blev inget David Tower Komplicerade grafer kan vara rätt Dashboards Ett diagram, många berättelser Slutord Om författaren David Stavegård är kanske den enda personen i Sverige som håller inspirationsföreläsningar i Excel. Han jobbar med att föreläsa, utbilda och hjälpa företag att förstå hur de kan skapa både snyggare och roligare Exceldokument. Varje torsdag lägger han ut ett videotips på Linkedin. Hittills har det blivit hundratals filmer som har setts flera miljoner gånger. David har för tre år i rad tilldelats motsvarande hedersdoktor-titeln Most Valuable Professional (MVP) av Microsoft. Recensioner "En suverän guide som borde delas ut till journalister, politiker och andra som arbetar med samhällsinformation." - Fredrik Landberg, vd "David är expert på att lösa människors vardagsproblem med hjälp av Excel." - Patrik von Knorring, svensk mästare i Excel -- Det här är en bok för dig som vill lära dig mer om hur du kan tänka smartare kring diagram, oavsett vad du använder dem till. Boken ingår i förlagets serie Kunskap på nolltid.

A fast, up-to-date, and convenient desk reference for Excel users of any skill level Drawn from the most important tasks in the latest bestselling Excel Bible , Excel Quick and Easy is your ticket to data mastery. Excel veterans Michael Alexander and Dick Kusleika distil the most essential and useful tasks you need to understand about the world's most popular spreadsheet program, from functions to charts, graphs, formulas and more. Prepare for a whirlwind tour of Excel, packed with simple and step-by-step guides to common and lesser-known Excel features. This book shows you how to: Create new spreadsheets and workbooks by entering and editing worksheet dataSimplify working with large amounts of data by naming and moving rangesMake calculations and draw conclusions from your data by using formulasVisualize and present your data by creating functional chartsThe secret weapon in your productivity arsenal Being great at Excel is quickly becoming a standard expectation for a ton of employers and organizations, in all sorts of industries. Sharpening your skills can boost your workplace performance and make it easier to land promotions or find new roles. Excel Quick and Easy makes it a breeze to develop the proficiencies that help you stand out from your peers. Unique features of this book Step-by-step guides to the most commonly used and productive Excel tasks, from basic worksheet operations to formatting spreadsheets for hardcopy printingIntuitive explanations for making your data tell a compelling story with visualizations, including charts, graphs, and tablesAdvanced number-crunching techniques, including formulas and functions, that help you unlock fresh insights and new conclusions from your dataExcel Quick and Easy is the perfect reference for brand-new Excel users trying to get up-to-speed quickly and confidently. It's also a must-read for anyone migrating from another spreadsheet program, like Google Sheets, or more experienced Excel users who need to solidify and improve their skills. If you're tired of stumbling through your spreadsheets and just “surviving” in Excel, grab a copy of Excel Quick and Easy and supercharge your productivity. You'll refine your understanding of the basics, learn brand-new skills and features, and become the Excel expert that every office desperately needs.

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, andfuture impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.What You Will LearnStudy the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is ForReaders without a technical background, such as managers, looking to understand AI to evaluate solutions.

Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and mapsLearn key data visualization concepts to help you choose the right toolsConvert and transform tabular and spatial data to tell your data storyEdit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today.The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way.The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo.