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Podcasts
Hamida Rebai Trabelsi, Marc-Andre Laniel
Companies face several challenges during cloud adoption, with developers and architects needing to migrate legacy applications and build cloud-oriented applications using Azure-based technologies in different environments. A Developer’s Guide to Cloud Apps Using Microsoft Azure helps you learn how to migrate old apps to Azure using the Cloud Adoption Framework and presents use cases, as well as build market-ready secure and reliable applications.The book begins by introducing you to the benefits of moving legacy apps to the cloud and modernizing existing ones using a set of new technologies and approaches. You’ll then learn how to use technologies and patterns to build cloud-oriented applications. This app development book takes you on a journey through three major services in Azure, namely Azure Container Registry, Azure Container Instances, and Azure Kubernetes Service, which will help you build and deploy an application based on microservices. Finally, you’ll be able to implement continuous integration and deployment in Azure to fully automate the software delivery process, including the build and release processes.By the end of this book, you’ll be able to perform application migration assessment and planning, select the right Azure services, and create and implement a new cloud-oriented application using Azure containers and orchestrators.
Build cutting-edge web applications using ASP.NET Core 9 with this comprehensive guide from Microsoft MVP Albert Tanure, a seasoned .NET expert with over 20 years of experience as a cloud solutions architect. Albert brings unparalleled expertise in building modern web applications to ASP.NET Core 9.0 Essentials to help you kickstart your journey on the right foot.Starting with the platform’s fundamental concepts, you’ll work through practical exercises to develop web applications with powerful UI frameworks, deliver flexible and scalable solutions through an API approach, and explore advanced topics such as customizing request flows and implementing robust security measures. You’ll get to grips with cloud-native practices to prepare your applications for cloud environments. Whether you’re a beginner or an experienced developer, this book is your guide to building modern, secure, and adaptable web applications with ASP.NET Core.By the end of this book, you’ll be proficient in leveraging the advanced features of ASP.NET Core 9 to create cloud-ready web applications for diverse market segments.
Cybersecurity architecture is the discipline of systematically ensuring that an organization is resilient against cybersecurity threats. Cybersecurity architects work in tandem with stakeholders to create a vision for security in the organization and create designs that are implementable, goal-based, and aligned with the organization’s governance strategy.Within this book, you'll learn the fundamentals of cybersecurity architecture as a practical discipline. These fundamentals are evergreen approaches that, once mastered, can be applied and adapted to new and emerging technologies like artificial intelligence and machine learning. You’ll learn how to address and mitigate risks, design secure solutions in a purposeful and repeatable way, communicate with others about security designs, and bring designs to fruition. This new edition outlines strategies to help you work with execution teams to make your vision a reality, along with ways of keeping designs relevant over time. As you progress, you'll also learn about well-known frameworks for building robust designs and strategies that you can adopt to create your own designs.By the end of this book, you’ll have the foundational skills required to build infrastructure, cloud, AI, and application solutions for today and well into the future with robust security components for your organization.
As an administrator you need a secure, scalable, resilient application infrastructure to support the developers building and managing J2EE applications and Service Oriented Architecture services. WebSphere application server, a product from IBM, is optimized to ease administration and improve runtime performance. It helps you run applications and services in a reliable, secure, and high-performance environment to ensure business opportunities are not lost due to application downtime.It's easy to get started and tame this powerful application server when you've got this book to hand. This administration guide will help you provide an innovative, performance-based foundation to build, run, and manage J2EE applications and SOA services, offering the highest level of reliability, security, and scalability.This book will take you through the different methods for installing WebSphere application server and demonstrate how to configure and prepare WebSphere resources for your application deployments. During configuration you will be shown how to administer your WebSphere server standalone or using the new administrative agent, which provides the ability to administer multiple installations of WebSphere application server using one single administration console. WebSphere security is covered in detail showing the various methods of implanting federated user and group repositories. The facets of data-aware and message-aware applications are explained and demonstrated giving the reader real-world examples of manual and automated deployments. Key administration features and tools are introduced, which will help a WebSphere administrator manage and tune their WebSphere implementation and application for success.
Business Intelligence Semantic Models (BISM) is a technology that is designed to deliver analytical information to users through a variety of mechanisms that include model structure, definition, and design. This book demonstrates how to create BISM models so that information can be presented to users in an intuitive and easy-to-use format. Once the model is defined, we also show you how it can be managed and maintained so that the data in it remains current and secure.Microsoft Tabular Modeling Cookbook is an all-encompassing guide to developing, managing, creating, and using analytical models using the Business Intelligence Semantic Model (BISM). This title covers a range of modeling situations and common data analysis related problems to show you the techniques required to turn data into information using tabular modeling.Microsoft Tabular Modeling Cookbook examines three areas of tabular modeling: model development, model management and maintenance, and reporting. This book is a practical guide on how to develop semantic models and turn business data into information. It covers all phases of the model lifecycle from creation to administration and finally reporting. It also shows you how to create models which are designed to analyze data.All sections of BISM modeling from development to management and finally reporting are covered. The sections on development examine a wide range of techniques and tricks required to build models, including moving data into the model, structuring the model to manipulate the data, and finally the formulas required to answer common business questions; all of these are discussed in this book in detail.Finally, the book examines methods of reporting on the data within the model, including the creation of data-driven workbooks and reports for a powerful end user experience.
Luiz Felipe Martins, Gavin Hackeling, Magnus Vilhelm Persson
Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.