Angular for Enterprise-Ready Web Applications, 2nd Edition
This 2nd edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You'll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you'll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you'll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn abo ...
This 2nd edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You'll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you'll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you'll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn abo ...
The Robotic Process Automation Handbook
While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you'll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you'll also see that the technology significantly increases compliance - leading to fewer issues with regulations - and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to ex ...
While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you'll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you'll also see that the technology significantly increases compliance - leading to fewer issues with regulations - and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to ex ...
Building Progressive Web Applications with Vue.js
Obtain all the necessary tools for developing a progressive web application (PWA) with Vue.js, a modern JavaScript framework. You'll see how PWAs behave like a regular responsive website and have a similar structure to that of a web application, but feel like a native mobile app. Along the way you'll take advantage of Vue.js features to build fast, high-performing progressive web apps that work offline. Building Progressive Web Applications with Vue.js starts by explaining the basic concepts and structure of PWAs, and moves on to designing the app shell and other features that distinguish a PWA from simple web pages. In the following chapters, the book talks about the improved web technologies, such as service workers, caching strategies, background sync, and push notifications, that make PWAs powerful. ...
Obtain all the necessary tools for developing a progressive web application (PWA) with Vue.js, a modern JavaScript framework. You'll see how PWAs behave like a regular responsive website and have a similar structure to that of a web application, but feel like a native mobile app. Along the way you'll take advantage of Vue.js features to build fast, high-performing progressive web apps that work offline. Building Progressive Web Applications with Vue.js starts by explaining the basic concepts and structure of PWAs, and moves on to designing the app shell and other features that distinguish a PWA from simple web pages. In the following chapters, the book talks about the improved web technologies, such as service workers, caching strategies, background sync, and push notifications, that make PWAs powerful. ...
The Self-Service Data Roadmap
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. ...
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. ...
Tableau Prep: Up & Running
For self-service data preparation, Tableau Prep is relatively easy to use - as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin's popular blog, Preppin' Data, this practical guide takes you step-by-step through Tableau Prep's fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. ...
For self-service data preparation, Tableau Prep is relatively easy to use - as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin's popular blog, Preppin' Data, this practical guide takes you step-by-step through Tableau Prep's fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. ...
NGINX Unit Cookbook
Alongside its popular web server, NGINX provides a dynamic application server that supports a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. This updated cookbook shows developers, DevOps personnel, network admins, and cloud infrastructure pros how to quickly get started with NGINX Unit. Hands-on recipes demonstrate Unit's new approach and show you how to deploy and configure this server for different applications. You'll learn how to run applications written in different languages on the same server, how to use NGINX Unit as the foundation for your web application development environment, and how Unit's RESTful API simplifies configuration. ...
Alongside its popular web server, NGINX provides a dynamic application server that supports a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. This updated cookbook shows developers, DevOps personnel, network admins, and cloud infrastructure pros how to quickly get started with NGINX Unit. Hands-on recipes demonstrate Unit's new approach and show you how to deploy and configure this server for different applications. You'll learn how to run applications written in different languages on the same server, how to use NGINX Unit as the foundation for your web application development environment, and how Unit's RESTful API simplifies configuration. ...
Semantic Modeling for Data
What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold - but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft to increase the usability and value of your data and applications. You'll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. ...
What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold - but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft to increase the usability and value of your data and applications. You'll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. ...
Implementing Service Level Objectives
Although service-level objectives (SLOs) continue to grow in importance, there's a distinct lack of information about how to implement them. Practical advice that does exist usually assumes that your team already has the infrastructure, tooling, and culture in place. In this book, recognized SLO expert Alex Hidalgo explains how to build an SLO culture from the ground up. Ideal as a primer and daily reference for anyone creating both the culture and tooling necessary for SLO-based approaches to reliability, this guide provides detailed analysis of advanced SLO and service-level indicator (SLI) techniques. Armed with mathematical models and statistical knowledge to help you get the most out of an SLO-based approach, you'll learn how to build systems capable of measuring meaningful SLIs with buy-in across all departments of your organization. ...
Although service-level objectives (SLOs) continue to grow in importance, there's a distinct lack of information about how to implement them. Practical advice that does exist usually assumes that your team already has the infrastructure, tooling, and culture in place. In this book, recognized SLO expert Alex Hidalgo explains how to build an SLO culture from the ground up. Ideal as a primer and daily reference for anyone creating both the culture and tooling necessary for SLO-based approaches to reliability, this guide provides detailed analysis of advanced SLO and service-level indicator (SLI) techniques. Armed with mathematical models and statistical knowledge to help you get the most out of an SLO-based approach, you'll learn how to build systems capable of measuring meaningful SLIs with buy-in across all departments of your organization. ...
Data Management at Scale
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. ...
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. ...
Libelf by Example
This tutorial introduces libelf, a library for reading and writing object code in the Extensible Linking Format (ELF) file format. - Getting started with libelf: obtaining a handle to an ELF object, establishing a working ELF version, and handling errors reported by libelf. - How ELF data structures are laid out in-memory and on disk, the notions of "file representation" and "memory representation", how to write applications that can handle non-native binaries. - ELF Segments and the ELF Program Header Table, retrieving the program header table from an ELF executable and the meaning of the fields of a program header table entry. - How data is stored inside ELF sections, the ELF Section Header Table, and how to traverse the sections in an ELF object. - How to create new ELF objects: the rules for ordering individual API calls, the default object layout implemented by libelf, and how to specify custom layouts. - ar archives: their structure, and how to read the contents of these ar ...
This tutorial introduces libelf, a library for reading and writing object code in the Extensible Linking Format (ELF) file format. - Getting started with libelf: obtaining a handle to an ELF object, establishing a working ELF version, and handling errors reported by libelf. - How ELF data structures are laid out in-memory and on disk, the notions of "file representation" and "memory representation", how to write applications that can handle non-native binaries. - ELF Segments and the ELF Program Header Table, retrieving the program header table from an ELF executable and the meaning of the fields of a program header table entry. - How data is stored inside ELF sections, the ELF Section Header Table, and how to traverse the sections in an ELF object. - How to create new ELF objects: the rules for ordering individual API calls, the default object layout implemented by libelf, and how to specify custom layouts. - ar archives: their structure, and how to read the contents of these ar ...