Kubernetes is becoming the de-facto standard for container orchestration and distributed applications management across a microservices framework. With this practical cookbook, youll learn hands-on recipes for automating the deployment, scaling, and operations of application containers across clusters of hosts.The book's easy-lookup problem-solution-discussion format helps you find the detailed answers you needquickly. Kubernetes lets you deploy your applications quickly and predictably, so you can efficiently respond to customer demand. This cookbook, ideal for developers and system administers alike, provides the essential knowledge you need to get there.Youll find recipes for:Kubernetes installationKubernetes API, API groupsApplication primitivesMonitoringTroubleshooting
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, Weights & Biases, and Kafka. You'll learn: The data essential for building a RecSys How to frame your data and business as a RecSys problem Ways to evaluate models appropriate for your system Methods to implement, train, test, and deploy the model you choose Metrics you need to track to ensure your system is working as planned How to improve your system as you learn more about your users, products, and business case
All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach
What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of todays most popular web frameworks.Matt Stauffera leading teacher and developer in the Laravel communitydelivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
"Cyber risk management is one of the most urgent issues facing enterprises today. This book presents a detailed framework for designing, developing, and implementing a cyber risk management program that addresses your company's specific needs. Ideal for corporate directors, senior executives, security risk practitioners, and auditors at many levels, this guide offers both the strategic insight and tactical guidance you're looking for."--Publisher's description.
"Join the technological revolution that's taking the financial world by storm. Mastering Bitcoin is your guide through the seemingly complex world of Bitcoin, providing the knowledge you need to participate in the internet of money. Whether you're building the next killer app, investing in a startup, or simply curious about the technology, this revised and expanded third edition provides essential detail to get you started. Bitcoin, the first successful decentralized digital currency, has already spawned a multibillion-dollar global economy open to anyone with the knowledge and passion to participate. Mastering Bitcoin provides the knowledge. You supply the passion" --
"This practical book shows you how to ensure that the data your organization relies on is trustworthy ... [and] explain[s] how you can use automated data quality monitoring to cover all your tables efficiently, proactively alert on issues, and resolve problems immediately"--
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. This guide shows you how to: Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positions Assess your interests and skills before deciding which ML role(s) to pursue Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process Acquire the skill set necessary for each machine learning role Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions Prepare for interviews in statistics and machine learning theory by studying common interview questions
Looking for quick answers for using C# 12? This tightly focused and practical guide tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this pocket reference is an ideal quick source of information. If you know Java, C++, or an earlier C# version, this guide will help you get rapidly up to speed. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio.
With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence. With this book, you'll learn: What dbt is and how a dbt project is structured How dbt fits into the data engineering and analytics worlds How to collaborate on building data models The main tools and architectures for building useful, functional data models How to fit dbt into data warehousing and laking architecture How to build tests for data transformations
"Software engineers and architects who work with large, complex code bases need to scale and maintain them effectively. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and assess their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real-world examples in JavaScript, PHP, Python, Java, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, security, and extensibility, as well as code smells and the corresponding recipes to address them"--Page 4 of cover.
"Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate toil, a resilient, scalable, and secure citadel for running applications, and an observatory to observe them. Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Cloud services, a cloud native programming model, and best practices. By following an example project from start to finish, developers, architects, and engineering managers working with the Google Cloud Platform will learn how to build and run cloud native applications on Google Cloud with confidence." --
To help you on the path to becoming a Snowflake pro, this concise yet comprehensive guide reviews fundamentals and best practices for Snowflake's SQL and Scripting languages. Developers and data professionals will learn how to generate, modify, and query data in the Snowflake relational database management system as well as how to apply analytic functions for reporting. Author Alan Beaulieu also shows you how to create scripts, stored functions, and stored procedures to return data sets using Snowflake Scripting. This book is ideal whether you're new to databases and need to run queries or reports against a Snowflake database, or transitioning from databases such as Oracle, SQL Server, or MySQL to cloud-based platforms. With this book, you will: Generate and modify Snowflake data using INSERT, UPDATE, DELETE Query data in Snowflake using SELECT, including joining multiple tables, using subqueries, and grouping Apply analytic functions for performing subtotals, grand totals, row comparisons, and other reporting functionality Build scripts combining SQL statements with looping, if-then-else, and exception handling Learn how to build stored procedures and functions Use stored procedures to return data sets
Having a great idea or design is not enough to make your software project succeed. If you want stakeholders to buy into your design and teams to collaborate and contribute to the vision, you also need to communicate effectively. In this practical book, author Jacqui Read shows you how to successfully present your architecture and get stakeholders to jump on board. Misunderstanding and lack of buy-in leads to increasing costs, unmet requirements, and an architecture that is not what you intended. Through constructive examples and patterns, this book shows you how to create documentation and diagrams that actually get the message across to the different audiences you'll face. This book shows you how to: Design diagrams and documentation appropriate to your expected audience, intended message, and project stage Create documentation and diagrams that are accessible to those with varying roles, needs, or disabilities Master written, verbal, and nonverbal communication to succeed in technical settings Apply the communication patterns presented in this book in real-world projects and software designs Communicate and collaborate with distributed teams to successfully design and document software and technical projects
"Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract value from your data immediately, rather than go through the heavy lifting required to run a typical data warehouse."--Amazon.com.
This comprehensive guide shows you how to master the most importantchanges to Java since it was first released. Generics and the greatlyexpanded collection libraries have tremendously increased the power ofJava 5 and Java 6. But they have also confused many developers whohaven't known how to take advantage of these new features.Java Generics and Collections covers everything from the mostbasic uses of generics to the strangest corner cases. It teaches youeverything you need to know about the collections libraries, so you'llalways know which collection is appropriate for any given task, andhow to use it.Topics covered include:Fundamentals of generics: type parameters and generic methodsOther new features: boxing and unboxing, foreach loops, varargsSubtyping and wildcardsEvolution not revolution: generic libraries with legacy clients andgeneric clients with legacy librariesGenerics and reflectionDesign patterns for genericsSets, Queues, Lists, Maps, and their implementationsConcurrent programming and thread safety with collectionsPerformance implications of different collectionsGenerics and the new collection libraries they inspired take Java to anew level. If you want to take your software development practice toa new level, this book is essential reading.Philip Wadler is Professor of Theoretical Computer Science at theUniversity of Edinburgh, where his research focuses on the design ofprogramming languages. He is a co-designer of GJ, work thatbecame the basis for generics in Sun's Java 5.0.Maurice Naftalin is Technical Director at Morningside Light Ltd., a software consultancy in the United Kingdom. He has most recently served as an architect and mentor at NSB Retail Systems plc, and as the leader of the client development team of a major UK government social service system."e;A brilliant exposition of generics. By far the best book on thetopic, it provides a crystal clear tutorial that starts with thebasics and ends leaving the reader with a deep understanding of boththe use and design of generics."e;Gilad Bracha, Java Generics Lead, Sun Microsystems
Get a concise yet comprehensive overview of Airtable, one of the most versatile platforms to emerge from the no-code movement. Whether you're planning a new project, sharing data analysis within your organization, tracking a detailed initiative among stakeholders, or dealing with any other project that requires well-structured collaboration, this practical book shows you how Airtable is an accessible tool to tackle these challenges. Author Elliott Adams guides you through the process of structuring your data in a relational database, creating automations based on changes to data in Airtable, and building user-friendly interfaces for no-code applications. This showcases how Airtable is superior to the typical options of either non-developers using spreadsheets or making large investments in time-consuming application development. With this book, you will: Learn how Airtable can reduce the need for custom-built applications Use Airtable to replace internal tools such as spreadsheets Build applications utilizing relational data--without any knowledge of software programming Evaluate whether you can build a solution on Airtable rather than purchasing software Understand the limitations of the Airtable platform when compared with writing a software application from scratch
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"Â 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. If you're a data professional, you need to be aligned with your company's business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples.
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
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