Bøger udgivet af O'Reilly Media

Many UX designers are surprised to learn that much of the job isn't about drawing things. It's about knowing what to draw and how to convince people to build it. Whether you're a one-person design team making products from scratch or a C-level product leader managing many products and strategies, UX for Business is your missing guide to real-world business design. You'll not only learn how to think about design as a professional but also discover how design can move the needle for your entire company. Author Joel Marsh helps you understand stakeholders, business models, the process of designing valuable solutions, dangerous choices that can ruin a product, and how to gain the attention your work deserves. You'll also explore the principles of designing common types of digital products and services, from portfolio sites to social networks to ecosystems. With this book, you'll learn: How to design the right things by understanding value, diagnostics, and probability How to conduct UX research and analysis without the luxury of time or money The most important aspects of common digital business models Methods for getting things done under less-than-ideal circumstances How to avoid common pitfalls caused by inexperience

Despite the increase of high-profile hacks, record-breaking data leaks, and ransomware attacks, many organizations dont have the budget to establish or outsource an information security (InfoSec) program, forcing them to learn on the job. For companies obliged to improvise, this pragmatic guide provides a security-101 handbook with steps, tools, processes, and ideas to help you drive maximum-security improvement at little or no cost.Each chapter in this book provides step-by-step instructions for dealing with a specific issue, including breaches and disasters, compliance, network infrastructure and password management, vulnerability scanning, and penetration testing, among others. Network engineers, system administrators, and security professionals will learn tools and techniques to help improve security in sensible, manageable chunks.Learn fundamentals of starting or redesigning an InfoSec programCreate a base set of policies, standards, and proceduresPlan and design incident response, disaster recovery, compliance, and physical securityBolster Microsoft and Unix systems, network infrastructure, and password managementUse segmentation practices and designs to compartmentalize your networkExplore automated process and tools for vulnerability managementSecurely develop code to reduce exploitable errorsUnderstand basic penetration testing concepts through purple teamingDelve into IDS, IPS, SOC, logging, and monitoring

"Traditional secret-based credentials can't scale to meet the complexity and size of cloud and on-premises infrastructure. Today's applications are spread across a diverse range of clouds and colocation facilities, as well as on-prem data centers. Each layer of this modern stack has its own attack vectors and protocols to consider."--

The Maker movement has been an excellent opportunity for people to become producers rather than just consumers, and schools are recognizing the value of offering students the tools, materials, and skills necessary to design sophisticated and meaningful projects. But teaching technical skills should not be the end goal: At its best, a Maker education teaches students to think and act in creative ways that can be applied to difficult challenges in all areas of life. Three Modes of Making provides a framework for Maker courses in upper grades that teach students creative-process skills through three key Maker modes: Imitation, Modification, and Innovation. Educators will learn the differences between the three Maker modes, their associated skill sets, and gain concrete methods to teach, document, and assess these skills. Through this approach, teachers will enable students to apply them to different creative needs. By focusing on how to teach skill development rather than merely how to build specific objects, Three Modes of Making enables students to improve and enhance their creative skills, and learn ways to apply them to a wide variety of challenges. This book is a road map to developing the creative problem solvers that the world needs for the future.

Baseball is not the only sport to use "moneyball." American football teams, fantasy football players, fans, and gamblers are increasingly using data to gain an edge on the competition. Professional and college teams use data to help identify team needs and select players to fill those needs. Fantasy football players and fans use data to try to defeat their friends, while sports bettors use data in an attempt to defeat the sportsbooks. In this concise book, Eric Eager and Richard Erickson provide a clear introduction to using statistical models to analyze football data using both Python and R. Whether your goal is to qualify for an entry-level football analyst position, dominate your fantasy football league, or simply learn R and Python with fun example cases, this book is your starting place. Through case studies in both Python and R, you'll learn to: Obtain NFL data from Python and R packages and web scraping Visualize and explore data Apply regression models to play-by-play data Extend regression models to classification problems in football Apply data science to sports betting with individual player props Understand player athletic attributes using multivariate statistics

With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up.Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotsonan IBM senior technical staff membershows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.

Hacker culture can be esoteric, but this entertaining reference is here to help. Written by longtime cybersecurity researcher and writer Kim Crawley, this fun reference introduces you to key people and companies, fundamental ideas, and milestone films, games, and magazines in the annals of hacking. From airgapping to phreaking to zombie malware, grasping the terminology is crucial to understanding hacker culture and history. If you're just getting started on your hacker journey, you'll find plenty here to guide your learning and help you understand the references and cultural allusions you come across. More experienced hackers will find historical depth, wry humor, and surprising facts about familiar cultural touchstones. Understand the relationship between hacker culture and cybersecurity Get to know the ideas behind the hacker ethos, like "knowledge should be free" Explore topics and publications central to hacker culture, including 2600 Magazine Appreciate the history of cybersecurity Learn about key figures in the history of hacker culture Understand the difference between hackers and cybercriminals

OpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system. Authors Austin Parker, head of developer relations at Lightstep and OpenTelemetry Community Maintainer, and Ted Young, cofounder of the OpenTelemetry project, cover every OpenTelemetry component, as well as observability best practices for many popular cloud, platform, and data services such as Kubernetes and AWS Lambda. You'll learn how OpenTelemetry enables OSS libraries and services to provide their own native instrumentation--a first in the industry. Ideal for application developers, OSS maintainers, operators and infrastructure teams, and managers and team leaders, this book guides you through: The principles of modern observability All OpenTelemetry components--and how they fit together A practical approach to instrumenting platforms and applications Methods for installing, operating, and troubleshooting an OpenTelemetry-based observability solution Ways to roll out and maintain end-to-end observability across a large organization How to write and maintain consistent, high-quality instrumentation without a lot of work.

The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside. Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production. With this book, you will: Learn how to install and configure Presto Use Presto with business intelligence tools Understand how to connect Presto to a variety of data sources Extend Presto for real-time business insight Learn how to apply best practices and tuning Get troubleshooting tips for logs, error messages, and more Explore Presto's architectural concepts and usage patterns Understand Presto security and administration

Embedded controller electronics are at the heart of virtually all modern electronic devices today with a market of more than $86 billion per year and growing. To serve the needs of designers creating products for this huge market, this practical book covers topics crucial for modern electronics design. Author Jerry Twomey examines the methods necessary to help you create a trouble-free integrated system for your product, with an emphasis on hardware design. You'll explore topics from the perspective of real-world applications, including discussions about non-ideal components, noise, and methods for avoiding problematic scenarios. Topics include: Ideal versus actual connections, components, digital, signals Architecting an embedded system Digital interface selection by application, speed, distance Multivoltage power supplies High frequency power integrity Battery and charging systems EMI reduction and ESD protection Driving and sensing peripherals Digital feedback control Optimization of power consumption and cost Specialty systems: medical, industrial, aerospace PCB design including manufacturability, yield, and low noise This book guides you through all of the techniques listed, which are required for a reliable integrated system. Through extensive illustrations and minimal equations, anyone with an interest in electronics will quickly grasp the ideas discussed.

With the rapid growth of big data and AI, organizations are quickly building data products and solutions in an ad-hoc manner. But as these data organizations mature, it's apparent that their analysis and machine learning models are only as reliable as the data they're built upon. The solution? Delta Lake, an open-source format that enables building a lakehouse architecture on top of existing storage systems such as S3, ADLS, and GCS. In this practical book, author Bennie Haelen shows data engineers, data scientists, and data analysts how to get Delta Lake and its unique features up and running. The ultimate goal of building data pipelines and applications is to query processed data and gain insights from it. You'll learn how the choice of storage solution determines the robustness and performance of the data pipeline, from raw data to insights. With this book, you will: Use modern data management and data engineering techniques Understand how ACID transactions bring reliability to data lakes at scale Run streaming and batch jobs against your data lake concurrently Execute update, delete, and merge commands against your data lake Use time travel to roll back and examine previous versions of your data Build a streaming data quality pipeline following the medallion architecture

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. > Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Learn the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine learning process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow

Once renowned as a customer relationship management tool, Salesforce has evolved into a cloud-first application and capability ecosystem. With dedicated components for tasks such as middleware, big data, reporting, ETL, data loading, and API orchestration, Salesforce has become more prevalent in modern architectures. This concise yet comprehensive guide provides an overview of Salesforce architecture for enterprise architects and Salesforce ecosystem architects. Author Paul McCollum, Salesforce Technical Architect at Accenture, provides a roadmap for integrating major elements of the Salesforce ecosystem with planned or existing enterprise architecture. You'll learn how to use these components to address the diverse needs of different organizations. Many companies today are adding or building multicloud capabilities and incorporating various elements from the Salesforce ecosystem. With this book, you'll learn: Strengths, weaknesses, and growth areas of Salesforce's enterprise architecture domain features How Salesforce compares to other cloud providers Methods for using the Salesforce ecosystem effectively to address your organization's needs How to integrate Salesforce with planned or existing enterprise architectures Ways to manage and forecast performance, complexity, and ease of operation across the Salesforce platform

How do you deal with the problems you face when using Azure? This practical guide provides over 75 recipes to help you to work with common Azure issues in everyday scenarios. That includes key tasks like setting up permissions for a storage account, working with Cosmos DB APIs, managing Azure role-based access control, governing your Azure subscriptions using Azure Policy, and much more. Author Reza Salehi has assembled real-world recipes that enable you to grasp key Azure services and concepts quickly. Each recipe includes CLI scripts that you can execute in your own Azure account. Recipes also explain the approach and provide meaningful context. The solutions in this cookbook will take you beyond theory and help you understand Azure services in practice. You'll find recipes that let you: Store data in an Azure storage account or in a data lake Work with relational and nonrelational databases in Azure Manage role-based access control (RBAC) for Azure resources Safeguard secrets in Azure Key Vault Govern your Azure subscription using Azure Policy Use CLI code to construct your application or fix a particular problem

Processing information efficiently is critical to the successful operation of modern organizations. One particularly helpful tool is Microsoft Power Automate, a low-code/no-code development platform designed to help tech-savvy users create and implement workflows. This practical book explains how small-business and enterprise users can replace manual work that takes days with an automated process you can set up in a few hours using Power Automate. Paul Papanek Stork, principal architect at Don't Pa..Panic Consulting, provides a concise yet comprehensive overview of the foundational skills required to understand and work with Power Automate. You'll learn how to use these workflows, or flows, to automate repetitive tasks or complete business processes without manual intervention. Whether you're transferring form responses to a list, managing document approvals, sending automatic reminders for overdue tasks, or archiving emails and attachments, these skills will help you: Design and build flows with templates or from scratch Select triggers and actions to automate a process Add actions to a flow to retrieve and process information Use functions to transform information Control the logic of a process using conditional actions, loops, or parallel branches Implement error checking to avoid potential problems

"TypeScript is one of the most important tools for JavaScript developers. Still, even experienced developers wonder why the TypeScript compiler is throwing squiggly red lines at them. Enter TypeScript Cookbook. With this practical guide, author Stefan Baumgartner provides senior engineers with solutions for everyday TypeScript problems. If you're conversant with TypeScript as well as JavaScript basics, this book provides actionable recipes to help you tackle a wide array of issues. From setting up complex project structures to developing advanced helper types, each self-contained recipe guides you through the problem and discusses why and how a solution works." --

Vulnerabilities in software and IT infrastructure pose a major threat to organizations. In response, the Cloud Native Computing Foundation (CNCF) developed the Certified Kubernetes Security Specialist (CKS) certification to verify an administrator's proficiency to protect Kubernetes clusters and the cloud native software they contain. This practical book helps you fully prepare for the certification exam by walking you through all of the topics covered. Different from typical multiple-choice formats used by other certifications, this performance-based exam requires deep knowledge of the tasks it covers under intense time pressure. If you want to pass the CKS exam on the first go, author Benjamin Muschko shares his personal experience to help you learn the objectives, abilities, and tips and tricks you need to pass on the first attempt. Identify, mitigate, and/or minimize threats to cloud native applications and Kubernetes clusters Learn the ins and outs of Kubernetes's security features, and external tools for security detection and mitigation purposes Demonstrate competency to perform the responsibilities of a Kubernetes administrator or application developer with a security viewpoint Solve real-world Kubernetes problems in a hands-on, command-line environment Effectively navigate and solve questions during the CKS exam

FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. The book also gets you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI.

Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications. Recipes include: Creating a module; Calling code from another module; Returning and handling an error; Converting strings to numbers (or converting numbers to strings); Modifying multiple characters in a string; Creating substrings from a string; Capturing string input; And so much more.--Back cover.

With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks.

Java is on a fast-paced development schedule that brings with it improved design capabilities and enhancements for application security. Learn about the changes to Java, from version 9 to 19, and apply new features to build enterprise applications faster and with fewer errors. Get up to speed on how to make your code concise, expressive, and less error prone, and create better OO programs with the newest features. Modularize and create asynchronous applications with ease and proper error handling. This book contains twelve chapters that dive deep into the features, using plenty of examples for you to practice along with. Java is changing quickly - don't be left behind. This book will keep you up to date on the amazing capabilities of the Java language introduced between versions 9 and 19. Whether you are using Java 8 or one of the newer versions of Java, this book will serve as your practical guide to explore and apply the features in these versions of Java. Learn to properly use type inference and avoid its pitfalls. Use text blocks to write elegant multiline strings and embed XML and JSON documents in code. Design better OO code with records and sealed classes, and along the way, learn proper ways to apply these new ideas. Reduce verbosity and hidden errors in code using switch expressions and pattern matching syntax. Take your upgrade journey further by modularizing your Java code, to make it more secure and manage dependencies clearly. Leverage those capabilities to more easily and dynamically discover services. Learn to create highly performant and resilient asynchronous applications, using the brand new virtual threads (fibers) and structured concurrency. Don't tolerate clumsy old Java code; instead, benefit from the significant changes to the language in versions 9 through 19. What You Need: To make use of all the features in this book, you'll need at least Java 19.

If youre new to Javaor new to programmingthis best-selling book will guide you through the language features and APIs of Java 11. With fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Daniel Leuck introduce you to Java fundamentalsincluding its class libraries, programming techniques, and idiomswith an eye toward building real applications.Youll learn powerful new ways to manage resources and exceptions in your applicationsalong with core language features included in recent Java versions.Develop with Java, using the compiler, interpreter, and other toolsExplore Javas built-in thread facilities and concurrency packageLearn text processing and the powerful regular expressions APIWrite advanced networked or web-based applications and services

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish between structured and unstructured data and the challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different ML model types and architectures, from no code to low code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance.

Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service. You will: Learn common architectures for real-time analytics Discover how event processing differs from real-time analytics Ingest event data from Apache Kafka into Apache Pinot Combine event streams with OLTP data using Debezium and Kafka Streams Write real-time queries against event data stored in Apache Pinot Build a real-time dashboard and order tracking app Learn how Uber, Stripe, and Just Eat use real-time analytics

In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples.This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. Youll learn exactly what you need to know to build your best app with Kubernetes the first time.Set up and develop applications in KubernetesLearn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacksUnderstand Kubernetes networking policies and where service mesh fits inIntegrate services and legacy applications and develop higher-level platforms on top of KubernetesRun machine learning workloads in Kubernetes

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If youre comfortable with Python and its libraries, including pandas and scikit-learn, youll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.Youll find recipes for:Vectors, matrices, and arraysHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), nave Bayes, clustering, and neural networksSaving and loading trained models

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Build production applications with LLMs and Generative AI, while reducing risks, increasing the efficiency, and fine tuning models Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy

"Effective, repeatable, and insightful analytics are key to ROI in customer relationship management systems. Many organizations, however, lack the automated reporting tools they need to run their businesses and instead choose to massage the data in Excel. But there's a better way. Salesforce's standard reporting tools provide a rich set of features that, when combined, support a wide variety of analytics needs."--Provided by publisher.

Microsoft Teams is used in hundreds of thousands of organizations to help keep remote and hybrid workplaces with dispersed workforces running smoothly. But while Microsoft Teams can seem easy for the user, Teams administrators must stay on top of a wide range of topics, including device administration techniques, quality benchmarks, and security and compliance measures. With this handy cookbook, author Fabrizio Volpe provides a clear, concise overview of administrative tasks in Teams -- along with step-by-step recipes to help you solve many of the common problems that system administrators, project managers, solution architects, and IT consultants may face when configuring, implementing, and managing Microsoft Teams. Think of this book as a detailed, immensely practical cheat sheet for Microsoft Teams administrators. Recipes in the book will show you how to: Apply Teams best practices, compliance, and security; Automate administrative tasks; Successfully deploy Teams; Implement Teams collaboration; Deploy and manage Microsoft Teams Rooms; Leverage the monitoring, productivity, and accessibility features; Foresee roadblocks in migrations to Teams and Teams Voice; Optimize Teams on virtual machines.--Back cover.

"Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer; Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality; Construct accurate, performant, reliable, and well-documented workflows that automate business processes; Learn intermediate techniques using spatial analytics, reporting, and in-database tools, and even learn about building macros and apps; Get introduced to both Alteryx Server as well as the new Alteryx Analytic Cloud Platform."--