Azor. Opowiadania o psach

Andrzej Juliusz Sarwa

Azor. Opowiadania o psach - Andrzej J. Sarwa Pies - wierny przyjaciel, niezastąpiony towarzysz, członek rodziny. Andrzej J. Sarwa, psiarz z zamiłowania, w zbiorze opowiadań "Azor. Opowiadania o psach" przedstawia wzruszające historie, które poruszają serca i skłaniają do refleksji nad wyjątkową więzią między człowiekiem a czworonogiem. Każda z ośmiu opowieści ukazuje różne aspekty tej relacji - od bezwarunkowej miłości i przyjaźni, po trudne historie o cierpieniu i nadziei. Autor w piękny sposób opisuje życie swoich psich przyjaciół, takich jak Rudzia i Maluszek, jednocześnie przypominając, jak ważna jest troska o los wszystkich zwierząt. To lektura, która buduje wrażliwość młodych czytelników, inspirując ich do empatycznego podejścia do naszych kudłatych towarzyszy. "Azor. Opowiadania o psach" zachwyci zarówno tych, którzy od lat żyją w psim świecie, jak i tych, którzy dopiero marzą o własnym czworonożnym przyjacielu. Polecana dla każdego, kto chce odkryć niezwykłość psiego świata - pełnego miłości, lojalności i emocji, które zostają w sercu na długo.

Azory. Travelbook. Wydanie 2

Maciej Hermann

Azory - to dziewięć portugalskich wysp na Oceanie Atlantyckim, które stanowią najdalej na zachód wysuniętą część Europy. Sielankowe krajobrazy tworzą idealną scenerię wakacji zdala od utartych szlaków. Do tego przemili ludzie, fantastyczna kuchnia, bogactwo lokalnych tradycji - wszystko to sprawia, że można się tu poczuć jak w mitycznej krainie szczęścia. Nie bez powodu niektórzy twierdzą, że właśnie tu znajdowała się zaginiona Atlantyda. Kaldery wulkanów Pola herbaciane Widokowe trekkingi Kąpiele w gorących źródłach Obserwacje wielorybów i delfinów

Azure Active Directory for Secure Application Development. Use modern authentication techniques to secure applications in Azure

Sjoukje Zaal

Azure Active Directory for Secure Application Development is your one-stop shop for learning how to develop secure applications using modern authentication techniques with Microsoft Azure AD. Whether you’re working with single-tenant, multi-tenant, or line-of-business applications, this book contains everything you need to secure them.The book wastes no time in diving into the practicalities of Azure AD. Right from the start, you’ll be setting up tenants, adding users, and registering your first application in Azure AD. The balance between grasping and applying theory is maintained as you move from the intermediate to the advanced: from the basics of OAuth to getting your hands dirty with building applications and registering them in Azure AD. Want to pin down the Microsoft Graph, Azure AD B2C, or authentication protocol best practices? We’ve got you covered. The full range of Azure AD functionality from a developer perspective is here for you to explore with confidence.By the end of this secure app development book, you’ll have developed the skill set that so many organizations are clamoring for. Security is mission-critical, and after reading this book, you will be too.

Azure Architecture Explained. A comprehensive guide to building effective cloud solutions

David Rendón, Brett Hargreaves, Sarah Kong

Azure is a sophisticated technology that requires a detailed understanding to reap its full potential and employ its advanced features. This book provides you with a clear path to designing optimal cloud-based solutions in Azure, by delving into the platform's intricacies. You’ll begin by understanding the effective and efficient security management and operation techniques in Azure to implement the appropriate configurations in Microsoft Entra ID. Next, you’ll explore how to modernize your applications for the cloud, examining the different computation and storage options, as well as using Azure data solutions to help migrate and monitor workloads. You’ll also find out how to build your solutions, including containers, networking components, security principles, governance, and advanced observability. With practical examples and step-by-step instructions, you’ll be empowered to work on infrastructure-as-code to effectively deploy and manage resources in your environment. By the end of this book, you’ll be well-equipped to navigate the world of cloud computing confidently.

Azure Cloud Adoption Framework Handbook. A comprehensive guide to adopting and governing the cloud for your digital transformation

Sasa Kovacevic, Darren Dempsey

You've heard about the benefits of the cloud and you want to get on board, but you’re not sure where to start, what services to use, or how to make sure your data is safe. Making the decision to move to the cloud can be daunting and it's easy to get overwhelmed, but if you're not careful, you can easily make mistakes that cost you time and money.Azure Cloud Adoption Framework Handbook is here to help. This guide will take you step-by-step through the process of making the switch to the Microsoft Azure cloud. You’ll learn everything from foundational cloud concepts and planning workload migration through to upskilling and organization transformation. As you advance, you’ll find out how to identify and align your business goals with the most suitable cloud technology options available. The chapters are designed in a way to enable you to plan for a smooth transition, while minimizing disruption to your day-to-day operations. You’ll also discover how the cloud can help drive innovation in your business or enable modern software development practices such as microservices and CI/CD. Throughout the chapters, you’ll see how decision makers can interact with other internal stakeholders to achieve success through the power of collaboration. By the end of this book, you’ll be more informed and less overwhelmed about moving your business to the cloud.

Azure Cloud Projects. Learn Microsoft Azure through hands-on, real-world projects

Hamid Sadeghpour Saleh, Jonah C. Andersson, Sherry List, Kim Berg

Want to get hands-on with Azure and boost your cloud solution skills by working on real-world projects? Azure Cloud Projects is your go-to resource. Written by a seasoned Microsoft Cloud Technologies Architect renowned for his expertise in crafting innovative solutions, this hands-on guide will empower you to build real-world applications using Microsoft Azure.Through hands-on projects, you’ll explore core cloud concepts and gain the experience needed to confidently launch your cloud career. The chapters help you build a strong foundation in cloud computing and Azure services, including how to set up your Azure account and navigate the portal. You’ll learn how to develop increasingly complex solutions as you progress—from configuring networks and deploying web apps to managing databases and containers. Advancing through the chapters, you’ll learn how to implement identity and access controls with Entra ID, automate workflows using Azure Functions, build a CI/CD pipeline with Azure DevOps, and optimize cloud costs for scalable growth.By the end of this book, you’ll have a solid grasp of Azure’s capabilities and a portfolio of practical projects that showcase your job-ready skills and set you up for success in entry-level cloud roles.

Azure Containers Explained. Leverage Azure container technologies for effective application migration and deployment

Wesley Haakman, Richard Hooper

Whether you’re working with a start-up or an enterprise, making decisions related to using different container technologies on Azure has a notable impact your app migration and modernization strategies. This is where companies face challenges, while choosing the right solutions and deciding when to move on to the next technology. Azure Containers Explained helps you make the right architectural choices for your solutions and get well-versed with the migration path to other platforms using practical examples.You’ll begin with a recap of containers as technology and where you can store them within Azure. Next, you’ll explore the different Microsoft Azure container technologies and understand how each platform, namely Azure Container Apps, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Functions, and Azure App Services, work – you’ll learn to implement them by grasping their respective characteristics and use cases. Finally, you’ll build upon your own container solution on Azure using best practices from real-world examples and successfully transform your business from a start-up to a full-fledged enterprise.By the end of this book, you’ll be able to effectively cater to your business and application needs by selecting and modernizing your apps using various Microsoft Azure container services.

Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

Olivier Mertens, Breght Van Baelen

With data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution.You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions.By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.

Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

Newton Alex

Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.

Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition

Giacinto Palmieri, Surendra Mettapalli, Newton Alex

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try.The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience.By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services

Ahmad Osama

Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer.By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.

Azure Data Engineering Cookbook. Get well versed in various data engineering techniques in Azure using this recipe-based guide - Second Edition

Nagaraj Venkatesan, Ahmad Osama

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure.You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview.By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.

Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.

Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition

Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each.You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.

Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam

Andreas Botsikas, Michael Hlobil

The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.

Azure Databricks Cookbook. Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Phani Raj, Vinod Jaiswal

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse.The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD).By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.