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PDO is lighter, faster, and more powerful than existing PHP data abstraction interfaces. PDO is a common interface to different databases that must be used with a database-specific PDO driver to access a particular database server: the PDO extension does not provide a database abstraction by itself; it doesn't rewrite SQL, emulate missing database features, or perform any database functions using by itself. It performs the same role as other classic database abstraction layers such as ODBC and JDBC: it's a query abstraction layer that abstracts the mechanism for accessing a database and manipulating the returned records; each database driver that implements the PDO interface can also expose database-specific features as regular extension functions. ¬ PDO ships with PHP 5.1, and is available as an extension for PHP 5.0; it requires the new object-oriented features of PHP 5, and cannot run with earlier versions of PHP.This book will teach you how to use the PDO, including its advanced features. Readers need to be aware of the basics of data abstraction and should be familiar with PHP.
Dr. Bruce Powel Douglass, Dr. Christian von Holst
Agile MBSE can help organizations manage change while ensuring system correctness and meeting customers’ needs. But deployment challenges have changed since our first edition.The Agile Model-Based Systems Engineering Cookbook’s second edition focuses on workflows – or recipes – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. In this 2nd edition, the Cameo MagicDraw Systems Modeler tool – the most popular tool for MBSE – is used in examples (models are downloadable by readers).Written by a world-renowned expert in MBSE, this book will take you through systems engineering workflows in the Cameo Systems Modeler SysML modeling tool and show you how they can be used with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering. Next, each recipe will take you through initiating a project, outlining stakeholder needs, defining and analyzing system requirements, specifying system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering.By the end of this MBSE book, you’ll learn how to implement systems engineering workflows and create systems engineering models.
Mark Dunkerley, Matt Tumbarello
Are you looking for the most current and effective ways to protect Windows-based systems from being compromised by intruders? This updated second edition is a detailed guide that helps you gain the expertise to implement efficient security measures and create robust defense solutions using modern technologies.The first part of the book covers security fundamentals with details around building and implementing baseline controls. As you advance, you’ll learn how to effectively secure and harden your Windows-based systems through hardware, virtualization, networking, and identity and access management (IAM). The second section will cover administering security controls for Windows clients and servers with remote policy management using Intune, Configuration Manager, Group Policy, Defender for Endpoint, and other Microsoft 365 and Azure cloud security technologies. In the last section, you’ll discover how to protect, detect, and respond with security monitoring, reporting, operations, testing, and auditing.By the end of this book, you’ll have developed an understanding of the processes and tools involved in enforcing security controls and implementing zero-trust security principles to protect Windows systems.
Serving patterns enable data science and ML teams to bring their models to production. Most ML models are not deployed for consumers, so ML engineers need to know the critical steps for how to serve an ML model.This book will cover the whole process, from the basic concepts like stateful and stateless serving to the advantages and challenges of each. Batch, real-time, and continuous model serving techniques will also be covered in detail. Later chapters will give detailed examples of keyed prediction techniques and ensemble patterns. Valuable associated technologies like TensorFlow severing, BentoML, and RayServe will also be discussed, making sure that you have a good understanding of the most important methods and techniques in model serving. Later, you’ll cover topics such as monitoring and performance optimization, as well as strategies for managing model drift and handling updates and versioning. The book will provide practical guidance and best practices for ensuring that your model serving pipeline is robust, scalable, and reliable. Additionally, this book will explore the use of cloud-based platforms and services for model serving using AWS SageMaker with the help of detailed examples.By the end of this book, you'll be able to save and serve your model using state-of-the-art techniques.
NetSuite For Consultants takes a hands-on approach to help ERP and CRM consultants implement NetSuite quickly and efficiently, as well deepen their understanding of its implementation methodology.During the course of this book, you’ll get a clear picture of what NetSuite is, how it works, and how accounts, support, and updates work within its ecosystem.Understanding what a business needs is a critical first step toward completing any software product implementation, so you'll learn how to write business requirements by learning about the various departments, roles, and processes in the client's organization. Once you've developed a solid understanding of NetSuite and your client, you’ll be able to apply your knowledge to configure accounts and test everything with the users. You’ll also learn how to manage both functional and technical issues that arise post-implementation and handle them like a professional.By the end of this book, you'll have gained the necessary skills and knowledge to implement NetSuite for businesses and get things up and running in the shortest possible time.