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Podcasty
PostgreSQL Administration Cookbook. Effective database management for administrators - Third Edition
Gabriele Bartolini, Hannu Krosing, Gianni Ciolli, Simon Riggs
PostgreSQL is a powerful opensource database management system; now recognized as the expert's choice for a wide range of applications, it has an enviable reputation for performance and stability. PostgreSQL provides an integrated feature set comprising relational database features, object-relational, text search, Geographical Info Systems, analytical tools for big data and JSON/XML document management.Starting with short and simple recipes, you will soon dive into core features, such as configuration, server control, tables, and data. You will tackle a variety of problems a database administrator usually encounters, from creating tables to managing views, from improving performance to securing your database, and from using monitoring tools to using storage engines. Recipes based on important topics such as high availability, concurrency, replication, backup and recovery, as well as diagnostics and troubleshooting are also given special importance.By the end of this book, you will have all the knowledge you need to run, manage, and maintain PostgreSQL efficiently.
SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019’s new features and improvements, especially when it comes to SSAS.First, you’ll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You’ll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you’ll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you’ll discover practices and tools for securing and maintaining your models once they are deployed.By the end of this MS SQL Server book, you’ll be able to choose the right model and build and deploy it to support the analytical needs of your business.
Pablo David Garaguso, Olaf Zander
If you’re familiar with the progressive Vue framework for creating responsive user interfaces, you’ll be impressed with its latest iteration, Vue 3, which introduces new concepts and approaches design patterns that are uncommon in other libraries or frameworks. By building on your foundational knowledge of Vue 3 and software engineering principles, this book will enable you to evaluate the trade-offs of different approaches to building robust applications.This book covers Vue 3 from the basics, including components and directives, and progressively moves on to more advanced topics such as routing, state management, web workers, and offline storage. Starting with a simple page, you’ll gradually build a fully functional multithreaded, offline, and installable progressive web application.By the time you finish reading this Vue book, not only will you have learned how to build applications, but you’ll also understand how to solve common problems efficiently by applying existing design patterns. With this knowledge, you’ll avoid reinventing the wheel for every project, saving time and creating software that’s adaptable to future changes.
Amita Kapoor, Sharmistha Chatterjee
AI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it’s necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you’ll be able to make existing black box models transparent.You’ll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You’ll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you’ll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You’ll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics.By the end of this book, you’ll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You’ll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions.
Refactoring in Java. Improving code design and maintainability for Java developers
Refactoring in Java serves as an indispensable guide to enhancing your codebase’s quality and maintainability.The book begins by helping you get to grips with refactoring fundamentals, including cultivating good coding habits and identifying red flags. You’ll explore testing methodologies, essential refactoring techniques, and metaprogramming, as well as designing a good architecture. The chapters clearly explain how to refactor and improve your code using real-world examples and proven techniques. Part two equips you with the ability to recognize code smells, prioritize tasks, and employ automated refactoring tools, testing frameworks, and code analysis tools. You’ll discover best practices to ensure efficient code improvement so that you can navigate complexities with ease. In part three, the book focuses on continuous learning, daily practices enhancing coding proficiency, and a holistic view of the architecture. You’ll get practical tips to mitigate risks during refactoring, along with guidance on measuring impact to ensure that you become an efficient software craftsperson.By the end of this book, you’ll be able to avoid unproductive programming or architecturing, detect red flags, and propose changes to improve the maintainability of your codebase.
Shinesa Cambric, Michael Ratemo
As more and more companies are moving to cloud and multi-cloud environments, being able to assess the compliance of these environments properly is becoming more important. But in this fast-moving domain, getting the most up-to-date information is a challenge—so where do you turn?Cloud Auditing Best Practices has all the information you’ll need. With an explanation of the fundamental concepts and hands-on walk-throughs of the three big cloud players, this audiobook will get you up to speed with cloud auditing before you know it.After a quick introduction to cloud architecture and an understanding of the importance of performing cloud control assessments, you’ll quickly get to grips with navigating AWS, Azure, and GCP cloud environments. As you explore the vital role an IT auditor plays in any company’s network, you'll learn how to successfully build cloud IT auditing programs, including using standard tools such as Terraform, Azure Automation, AWS Policy Sentry, and many more.You’ll also get plenty of tips and tricks for preparing an effective and advanced audit and understanding how to monitor and assess cloud environments using standard tools.By the end of this audiobook, you will be able to confidently apply and assess security controls for AWS, Azure, and GCP, allowing you to independently and effectively confirm compliance in the cloud.
The history of graphical application development is long and complicated, with various development challenges that persist to this day. The mix of technologies involved and the need to use different programming languages led to a very steep learning curve for developers looking to build applications across multiple platforms.In Building Cross-Platform GUI Applications with Fyne, you'll understand how the Go language, when paired with a modern graphical toolkit such as Fyne, can overcome these issues and make application development much easier. To provide an easy-to-use framework for cross-platform app development, the Fyne project offers many graphical concepts and design principles that are outlined throughout this book.By working through five example projects, you'll learn how to build apps effectively, focusing on each of the main areas, including the canvas, layouts, file handling, widgets, data binding, and themes. The book will also show you how the completed applications can then be run on your desktop computer, laptop, and smartphone. After completing these projects, you will discover how to prepare applications for release and distribute them to platform marketplaces and app stores.By the end of this book, you'll be able to create cross-platform graphical applications with visually appealing user interfaces and concise code.
Aaron Guilmette, Steve Miles, Peter De Tender
The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud.This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You’ll explore Microsoft’s responsible AI principles like safety and accountability. Then, you’ll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you’ll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you’ll find chapter review questions with answers, provided as an online resource.By the end of this exam guide, you’ll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.
Mobile App Reverse Engineering is a practical guide focused on helping cybersecurity professionals scale up their mobile security skills. With the IT world’s evolution in mobile operating systems, cybercriminals are increasingly focusing their efforts on mobile devices. This book enables you to keep up by discovering security issues through reverse engineering of mobile apps.This book starts with the basics of reverse engineering and teaches you how to set up an isolated virtual machine environment to perform reverse engineering. You’ll then learn about modern tools such as Ghidra and Radare2 to perform reverse engineering on mobile apps as well as understand how Android and iOS apps are developed. Next, you’ll explore different ways to reverse engineer some sample mobile apps developed for this book. As you advance, you’ll learn how reverse engineering can help in penetration testing of Android and iOS apps with the help of case studies. The concluding chapters will show you how to automate the process of reverse engineering and analyzing binaries to find low-hanging security issues.By the end of this reverse engineering book, you’ll have developed the skills you need to be able to reverse engineer Android and iOS apps and streamline the reverse engineering process with confidence.
Cecil 'Gary' Rupp, Manjit Singh
Scaled Scrum and Lean-Agile practices provide essential strategies to address large and complex product development challenges not addressed in traditional Scrum. This Scrum/ Lean-Agile handbook provides a comprehensive review and analysis of industry-proven scaling strategies that enable business agility on an enterprise scale. Free of marketing hype or vendor bias, this book helps you decide which practices best fit your situation.You'll start with an introduction to Scrum as a lightweight software development framework and then explore common approaches to scaling it for more complex development scenarios. The book will then guide you through systems theory, lean development, and the application of holistic thinking to more complex software and system development activities. Throughout, you'll learn how to support multiple teams working in collaboration to develop large and complex products and explore how to manage cross-team integration, dependency, and synchronization issues. Later, you'll learn how to improve enterprise operational efficiency across value creation and value delivery activities, before discovering how to align product portfolio investments with corporate strategies.By the end of this Scrum book, you and your product teams will be able to get the most value out of Agile at scale, even in complex cyber-physical system development environments.
Ted Kulp (USD), Samuel Goldstein
CMS Made Simple has great capabilities “out of the box,” but one of its great strengths is the ease of extending those capabilities. You can add a surprising amount of functionality just by customizing the core modules, but once you learn to write your own tags and modules, your ability to add features is virtually limitless.CMS Made Simple Development Cookbook will show you how to use custom PHP code to extend the power and features of CMS Made Simple, and make it do exactly what you want. This easy to use guide contains clear recipes that introduce the key concepts behind each approach to extending the CMS, while also providing examples of solutions to real-world problems.You will learn the differences between the various kinds of tags and modules in the CMS Made Simple environment, and to which purposes each is best fit. Each technology is then explored in detail with a series of practical recipes and examples.You will not only learn the basics of creating tags and modules, but you will explore the underlying APIs that you will use to solve real-world website problems. You will become proficient with the database and form APIs, so that the code you write is portable and maintainable. You'll learn to localize your code and use templates to add its flexibility. You'll master the safe handling of parameters and the creation of secure code. You’ll be familiar with the CMS Made Simple Developer's Forge, and how you can use it in conjunction with revision control as a community-focused code management system, complete with web-based bug tracking and feature requests. You will learn to code complex interactions between modules, both directly and via the creation and handling of events. You will gain exposure to an array of advanced tips and tricks, along with commentary from the distilled experience of someone who has written dozens of modules. The CMS Made Simple Developer's Cookbook offers an amazing wealth of knowledge in approachable, bite-sized recipes. Whether you're new to the CMS or an old hand, you're sure to find valuable tips and information that will have you creating a richer CMS.
Lior Gazit, Meysam Ghaffari, Asha Saxena
Do you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples.By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.
Bret Williams, Jonathan Bownds
The long-awaited release of the world's most popular online solution, Magento 2, is now out with an all new interface and several enhancements. This book offers you advanced guidance on managing, optimizing, and extending your store while taking advantage of the new features of Magento 2.This is a comprehensive guide to using the all new features and interface of Magento 2 to build, extend, and design online stores. From planning your Magento installation through to advanced techniques designed to make your store as successful as possible, this book is your roadmap to managing your Magento store. Focusing on Magento's Community version, the book covers everything from creating and managing multiple stores to fine-tuning Magento for speed and performance. You’ll learn how to manage categories, products, design themes, extensions, and more.
Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi, ...
Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift.By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.