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While plenty of educational material exists for beginning and advanced JavaScript developers, resources for intermediate-level engineers are scarce. Yet this is the career step where many developers often get stuck. With this practical book, you'll learn how to apply JavaScript theory in real projects, manage every stage of the software development lifecycle, and move your career forward. Author Milecia McGregor takes frontend, backend, and full stack engineers through all of the steps and considerations of senior JavaScript engineers, including making decisions based on product and user feedback. By the time you finish this book, you'll know how to create a production-level app for any size system you face. Understand how JavaScript works under the hood, including how a real software development lifecycle works Learn how to make decisions when building a long-term maintainable JavaScript project Explore the software development lifecycle from project ideation to production deployment with JavaScript code Gain a better understanding of complex JavaScript issues such as closures, generators, and the event loop Learn when you should take specific approaches to keep a project moving on the technical side

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides: Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

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¿¿¿¿¿¿¿ - ¿¿¿¿¿xi¿o yú ér hé xi¿o ni¿o ér - péng you de yù yán ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿t¿ men rú hé chéng péng yoü yú néng f¿i huò ni¿o néng yoü zhè shì qiú tóng cún yì de péng yoüHow can they be friends? Can a fish fly and a bird swim? This is the story of finding ways around differences and being friends.

Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with blockchain so that an MLOps system requires blockchain to function, which in turn tethers AI. This guide shows you how. --

Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters.This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring.Know where and how much to apply instrumentation to your application codeIdentify metrics with labels using unique key-value pairsGet an introduction to Grafana, a popular tool for building dashboardsLearn how to use the Node Exporter to monitor your infrastructureUse service discovery to provide different views of your machines and servicesUse Prometheus with Kubernetes and examine exporters you can use with containersConvert data from other monitoring systems into the Prometheus format

With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.

"Why is it difficult for so many companies to get digital identity right? If you're still wrestling with even simple identity problems like modern website authentication, this practical book has the answers you need. Author Phil Windley provides conceptual frameworks to help you make sense of the protocols, standards, and solutions available, with suggestions for where and when you can apply them. By linking current social login solutions to emerging self-sovereign identity issues, this book explains how digital identity works, gives you a firm grasp of what's coming, and shows how you can use it to solve your most pressing identity problems. Developers, product managers, directors, and VPs will learn how to effectively leverage identity inside applications and across their businesses"--

Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless youre actively engaged in the process. Whether youre new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization.Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, youll learn how to enable an efficient and effective FinOps machine.Learn how the cloud works when it comes to financial managementSet up a FinOps team and build a framework for making spend efficiency a priorityExamine the anatomy of a cloud bill and learn how to manage itGet operational recipes for maximizing cloud efficiencyUnderstand how to motivate engineering teams to take cost-saving actionsExplore the FinOps lifecycle: Inform, Optimize, and OperateLearn the DNA of a highly functional cloud FinOps culture

This practical guide bridges the gap between general cloud computing architecture in Microsoft Azure and scientific computing for bioinformatics and genomics. You'll get a solid understanding of the architecture patterns and services that are offered in Azure and how they might be used in your bioinformatics practice. You'll get code examples that you can reuse for your specific needs. And you'll get plenty of concrete examples to illustrate how a given service is used in a bioinformatics context.You'll also get valuable advice on how to:Use enterprise platform services to easily scale your bioinformatics workloadsOrganize, query, and analyze genomic data at scaleBuild a genomics data lake and accompanying data warehouseUse Azure Machine Learning to scale your model training, track model performance, and deploy winning modelsOrchestrate and automate processing pipelines using Azure Data Factory and DatabricksCloudify your organization's existing bioinformatics pipelines by moving your workflows to Azure high-performance compute servicesAnd more

When it comes to building user interfaces on the web, React enables web developers to unlock a new world of possibilities. This practical book helps you take a deep dive into fundamental concepts of this JavaScript library, including JSX syntax and advanced patterns, the virtual DOM, React reconciliation, and advanced optimization techniques. By becoming fluent in React, you'll quickly learn how to build better web applications. Author Tejas Kumar helps you explore the depths of React in plain English, without the typical software engineering jargon, so you can more easily understand how this JavaScript library works. You'll learn how to write intuitive React code that fully understands the nuances and layers of React, unlocking a whole new level of fluency. You will: Understand how React works at a deeper level Write React apps while optimizing them along the way Build resilient React applications that work well at arbitrary scale Create React applications for other platforms adjacent to the web and mobile devices Know when to reach for different mechanisms exposed by React, such as reducers versus state versus refs

"This book teaches Git in a simple, visual, and tangible manner so that you can build a solid mental model of how Git version control works. Through the use of color, storytelling, and hands-on exercises, you will learn to use this tool with confidence ... Learning Git is ideal for anyone who needs to use Git for personal or professional projects: coding bootcamp students, junior developers, data professionals, and technical writers"--

"With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you'll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data"--

"Cybersecurity is broken. Year after year, attackers remain unchallenged and undeterred, while engineering teams feel pressure to design, build, and operate 'secure' systems. Failure can't be prevented, mental models of systems are incomplete, and our digital world constantly evolves. How can we verify that our systems behave the way we expect? What can we do to improve our systems' resilience? In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals"--Back cover.

"Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better ... [Also] examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch"--

"The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public."--

This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Improve the user experience for your Rails app with rich, engaging client-side interactions. Learn to use the Rails 7 tools and simplify the complex JavaScript ecosystem. It's easier than ever to build user interactions with Hotwire, Turbo, and Stimulus. You can add great front-end flair without much extra complication. Use React to build a more complex set of client-side features. Structure your code for different levels of client-side needs with these powerful options. Add to your toolkit today! It's hard to have a Rails application without integrating some client-side logic. But client-side coding tools, and the Rails tools for integrating with them, all change continuously. Rails 7 simplifies client-side integration with the Hotwire gem. It's a great way to build client interaction with server-side HTML and a small amount of JavaScript. In the latest edition of this book, learn how to use Rails 7 and its front-end bundling tools to build rich front-end logic into your Rails applications. The job is even easier with Stimulus, a library that brings Rails conventions to JavaScript tools. And you can also add in React, a larger framework that automatically updates the browser when your data changes. Learn the basics of Turbo, Stimulus, and TypeScript, and add pizazz to your application. Structure your web application to best manage your state. Learn how to interact with data on the server while still keeping the user experience interactive. Use the type system in TypeScript to expand on JavaScript and help prevent error conditions. Debug and test your front-end application with tools specific to each framework. There are a lot of ways to do client-side coding, and Rails is here to help. What You Need: This book requires Ruby on Rails 7.0 or later, React 17.0.0 or later. Other dependencies will be added by Rails.

Data has become the most powerful tool in business today, and telling its story effectively is critical. Yet one of the best communicatorscoloris the most neglected tool in data visualization. With this book, DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics.Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical resource explores color tips and tricks, including the theories behind them and why they work the way they do. ColorWise covers the psychology, history, and culture of many different colors. This book is also a useful teaching tool for learning about proper use of color for data storytelling techniques and dashboarding.You'll explore:The role that color theory plays in data visualization and storytellingVarious color techniques you can use to improve data visualizationsHow colors affect your audience's understanding of data visualizationsHow to use color intentionally to help guide your audienceTips for using colors that people with color vision deficiency can interpretHow to apply the book's guidelines for use in your own projects

With millions of new users and several new models, the Raspberry Pi ecosystem continues to expandalong with a lot of new questions about the Pis capabilities. The second edition of this popular cookbook provides more than 240 hands-on recipes for running this tiny low-cost computer with Linux, programming it with Python, and hooking up sensors, motors, and other hardwareincluding Arduino and the Internet of Things.Prolific hacker and author Simon Monk also teaches basic principles to help you use new technologies with Raspberry Pi as its ecosystem continues to develop. This cookbook is ideal for programmers and hobbyists familiar with the Pi through resources, including Getting Started with Raspberry Pi (OReilly). Python and other code examples from the book are available on GitHub.Set up your Raspberry Pi and connect to a networkWork with its Linux-based operating systemProgram Raspberry Pi with PythonGive your Pi "e;eyes"e; with computer visionControl hardware through the GPIO connectorUse Raspberry Pi to run different types of motorsWork with switches, keypads, and other digital inputsUse sensors to measure temperature, light, and distanceConnect to IoT devices in various waysCreate dynamic projects with Arduino

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino.Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization.Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query dataGo deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and morePut Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. Youll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.With this book, you will:Learn how to use basic Kubernetes resources to compose data infrastructureAutomate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operatorsEvaluate and select data infrastructure technologies for use in your applicationsIntegrate data infrastructure technologies into your overall stackExplore emerging technologies that will enhance your Kubernetes-based applications in the future

The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant cycle of redesign. How do you deliver scalable, highly available products while keeping costs in check? With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage. You'll also pick up best practices for code development, testing, and monitoring. By focusing on the entire design process, you'll be able to deliver cost-effective, high-quality products. This book helps you: Reduce cloud spend with lower cost cloud service offerings and smart design strategies Minimize waste without sacrificing performance by rightsizing compute resources Drive pipeline evolution, head off performance issues, and quickly debug with effective monitoring Set up development and test environments that minimize cloud service dependencies Create data pipeline code bases that are testable and extensible, fostering rapid development and evolution Improve data quality and pipeline operation through validation and testing

"Learn the core concepts of Vue.js, the modern JavaScript framework for building frontend applications and interfaces from scratch. With concise, practical, and clear examples, this book takes web developers step-by-step through the tools and libraries in the Vue.js ecosystem and shows them how to create complete applications for real-world web projects. You'll learn how to handle data communication between components with Pinia architecture, develop a manageable routing system for a frontend project to control the application flow, and produce basic animation effects to create a better user experience"--

After decades of relative obscurity, functional programming is finally coming into its own. With concise, easy-to-read code that supports asynchronous, concurrent processing, aspects of functional programming have begun to appear in several traditionally object-oriented languages such as C# and Java. This practical book shows C# programmers how to use functional programming features without having to navigate an entirely new language. Because of the shared runtime environment common to C# and F# languages, it's possible to use most of F#'s functional features in C# as well. Author Simon J. Painter explains how you can write functional code in C# right away, without having to install dependencies or features newer than .NET 3. You'll learn why functional programming concepts can bring immediate benefit to your work. Learn what functional programming is and how it originated Discover features of the functional paradigm using a more familiar language Start coding functionally in C# right away, without relying on third-party libraries Write code that's more robust, less error prone, and easier to test Examine less conventional ways to look at structures available in C# Explore the practicalities of using functional C# in a business environment.

Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other traditional statistical disclosure limitation techniques. This practical book explains how differential privacy (DP) can help. Authors Ethan Cowan, Michael Shoemate, and Mayana Pereira explain how these techniques enable data scientists, researchers, and programmers to run statistical analyses that hide the contribution of any single individual. You'll dive into basic DP concepts and understand how to use open source tools to create differentially private statistics, explore how to assess the utility/privacy trade-offs, and learn how to integrate differential privacy into workflows. With this book, you'll learn: How DP guarantees privacy when other data anonymization methods don't What preserving individual privacy in a dataset entails How to apply DP in several real-world scenarios and datasets Potential privacy attack methods, including what it means to perform a reidentification attack How to use the OpenDP library in privacy-preserving data releases How to interpret guarantees provided by specific DP data releases