How to Design and Implement Powder-to-Tablet Continuous Manufacturing Systems provides a comprehensive overview on the considerations necessary for the design of continuous pharmaceutical manufacturing processes. The book covers both the theory and design of continuous processing of associated unit operations, along with their characterization and control. In addition, it discusses practical insights and strategies that the editor and chapter authors have learned. Chapters cover Process Analytical Technology (PAT) tools and the application of PAT data to enable distributed process control.
With numerous case studies throughout, this valuable guide is ideal for those engaged in, or learning about, continuous processing in pharmaceutical manufacturing.
Discusses the development of strategy blueprints in the design of continuous processes
Shows how to create process flowsheet models from individual unit operation models
Includes a chapter on characterization methods for materials, the use of statistical methods to analyze material property data, and the use of material databases
Covers the evolving regulatory expectations for continuous manufacturing
Provides readers with ways to more effectively navigate these expectations
Описание: This book is designed to give school districts and/or principals the tools to implement a successful coaching model to support principals. It offers hands on, practical practices to overcome the challenge of principal isolation to help principals succeed in the position and in turn get the most out of their students and teachers, and themselves.
Описание: This book is designed to give school districts and/or principals the tools to implement a successful coaching model to support principals. It offers hands on, practical practices to overcome the challenge of principal isolation to help principals succeed in the position and in turn get the most out of their students and teachers, and themselves.
Learn how to set up, configure, and use Microsoft Sentinel to provide security incident and event management services for your multi-cloud environment
Key Features:
Collect, normalize, and analyze security information from multiple data sources
Integrate AI, machine learning, built-in and custom threat analyses, and automation to build optimal security solutions
Detect and investigate possible security breaches to tackle complex and advanced cyber threats
Book Description:
Microsoft Sentinel is a security information and event management (SIEM) tool developed by Microsoft that helps you to integrate cloud security and artificial intelligence (AI). This book will enable you to implement Microsoft Sentinel and understand how it can help detect security incidents in your environment with integrated AI, threat analysis, and built-in and community-driven logic.
The book begins by introducing you to Microsoft Sentinel and Log Analytics. You'll then get to grips with data collection and management, before learning how to create effective Microsoft Sentinel queries to detect anomalous behaviors and activity patterns. Moving ahead, you'll learn about useful features such as entity behavior analytics and Microsoft Sentinel playbooks along with exploring the new bi-directional connector for ServiceNow. As you progress, you'll find out how to develop solutions that automate responses needed to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community.
By the end of this Microsoft Sentinel book, you'll have learned how to implement Microsoft Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues.
What You Will Learn:
Implement Log Analytics and enable Microsoft Sentinel and data ingestion from multiple sources
Get to grips with coding using the Kusto Query Language (KQL)
Discover how to carry out threat hunting activities in Microsoft Sentinel
Connect Microsoft Sentinel to ServiceNow for automated ticketing
Find out how to detect threats and create automated responses for immediate resolution
Use triggers and actions with Microsoft Sentinel playbooks to perform automations
Who this book is for:
If you are an IT professional with prior experience in other Microsoft security products and Azure and are now looking to expand your knowledge to incorporate Microsoft Sentinel, then this book is for you. Security experts using an alternative SIEM tool who want to adopt Microsoft Sentinel as an additional service or as a replacement will also find this book useful.
Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide
Key Features:
Design a cost-effective, performant, and scalable database in Azure
Choose and implement the most suitable design for a database
Discover how your database can scale with growing data volumes, concurrent users, and query complexity
Book Description:
Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation.
Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory.
By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution.
What You Will Learn:
Model relational database using normalization, dimensional, or Data Vault modeling
Provision and implement Azure SQL DB and Azure Synapse SQL Pools
Discover how to model a Data Lake and implement it using Azure Storage
Model a NoSQL database and provision and implement an Azure Cosmos DB
Use Azure Data Factory to implement ETL/ELT processes
Create a star schema model using dimensional modeling
Who this book is for:
This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.
Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big.
Key Features
Learn how to create solid server-side applications by leveraging the full power of Node.js 14
Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem
Avoid common mistakes and use proven patterns to create production grade Node.js applications
Book Description
In this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease.
We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications.
Throughout the book, you'll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions.
What you will learn
Become comfortable with writing asynchronous code by leveraging callbacks, promises, and the async/await syntax
Leverage Node.js streams to create data-driven asynchronous processing pipelines
Implement well-known software design patterns to create production grade applications
Share code between Node.js and the browser and take advantage of full-stack JavaScript
Build and scale microservices and distributed systems powered by Node.js
Use Node.js in conjunction with other powerful technologies such as Redis, RabbitMQ, ZeroMQ, and LevelDB
Who this book is for
This book is for developers and software architects who have some prior basic knowledge of JavaScript and Node.js and now want to get the most out of these technologies in terms of productivity, design quality, and scalability. Software professionals with intermediate experience in Node.js and JavaScript will also find valuable the more advanced patterns and techniques presented in this book.
This book assumes that you have an intermediate understanding of web application development, databases, and software design principles.
Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications
Key Features
Explore the potential of computer vision with Raspberry Pi and Python programming
Perform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi
Discover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications
Book Description
Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects.
At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision.
By the end of this book, you'll be able to confidently build and deploy computer vision apps.
What you will learn
Set up a Raspberry Pi for computer vision applications
Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV
Demonstrate arithmetical, logical, and other operations on images
Work with a USB webcam and the Raspberry Pi Camera Module
Implement low-pass and high-pass filters and understand their applications in image processing
Cover advanced techniques such as histogram equalization and morphological transformations
Create GUI apps with Python 3 and OpenCV
Perform machine learning with K-means clustering and image quantization
Who this book is for
This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed.
Become a skilled C++ programmer by embracing object-oriented programming and exploring language complexities, design patterns, and smart programming techniques with this detailed hands-on guide covering examples compliant with C++20
Key Features:
Apply object-oriented design concepts in C++ using language features and sound programming techniques
Unlock sophisticated programming solutions with nuances to become an efficient programmer
Explore design patterns as proven solutions for writing scalable and maintainable software in C++
Book Description:
While object-oriented software design helps you write more easily maintainable code, companies choose C++ as an OO language for its speed. Object-oriented programming (OOP) in C++ is not automatic - understanding OO concepts and how they map to C++ language features as well as OOP techniques is crucial. You must also know how to distinguish your code by utilizing well-tested, creative solutions, which can be found in popular design patterns. This book will help you to harness OOP in C++ for writing better code.
Starting with the essential C++ features that serve as building blocks for the main chapters, this book explains fundamental object-oriented concepts and shows you how to implement them in C++. With the help of practical code examples and diagrams, you'll find out how and why things work. The book's coverage furthers your C++ repertoire by including templates, exceptions, operator overloading, STL, and OO component testing. You'll also discover popular design patterns with in-depth examples and how to use them as effective programming solutions to recurring OOP problems.
By the end of this book, you'll be able to employ essential and advanced OOP concepts confidently to create enduring and robust software.
What You Will Learn:
Quickly learn the building blocks needed to develop a base for essential OOP features in C++
Implement OO designs using both C++ language features and proven programming techniques
Understand how well-designed, encapsulated code helps make more easily maintainable software
Write robust C++ code that can handle programming exceptions
Design extensible and generic code using templates
Apply operator overloading, utilize STL, and perform OO component testing
Examine popular design patterns to provide creative solutions for typical OO problems
Who this book is for:
Whether you are a professional programmer or an adept college student looking to use C++ as an OOP language, this book will help you create robust and easily maintainable code. Programmers who want to master the implementation of OO designs through both C++ language features and refined implementation techniques will find the book useful. This OOP book assumes prior programming experience; however, if you have no prior C++ or basic C++ experience, the early chapters will help you learn the core building blocks that set the foundation for the many OOP sections, advanced features, and design patterns.
Описание: Growing cloud technologies, and a shift from networking in traditional on-premise settings to the cloud, make it important for networking professionals to learn cloud networking skills. This book will teach you networking in Google Cloud and help you pass the Professional Cloud Network Engineer exam.
Автор: Beyer Betsy, Murphy Niall Richard, Rensin David K. Название: The Site Reliability Workbook: Practical Ways to Implement SRE ISBN: 1492029505 ISBN-13(EAN): 9781492029502 Издательство: Wiley Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Google`s Site Reliability Engineering book ignited an industry discussion on what it means to run production services today. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
