Dustin Dorsey – författare
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2 produkter
2 produkter
Häftad, Engelska, 2022
592 kr
Skickas inom 3-6 vardagar
Migrate your existing, on-premises applications into the Microsoft Azure cloud platform. This book covers the best practices to plan, implement, and operationalize the migration of a database application from your organization’s data center to Microsoft’s Azure cloud platform.Data modernization and migration is a technologically complex endeavor that can also be taxing from a leadership and operational standpoint. This book covers not only the technology, but also the most important aspects of organization culture, communication, and politics that so frequently derail such projects. You will learn the most important steps to ensuring a successful migration and see battle-tested wisdom from industry veterans. From executive sponsorship, to executing the migration, to the important steps following migration, you will learn how to effectively conduct future migrations and ensure that your team and your database application delivers on the expected business value of the project. This book is unlike any other currently in the market. It takes you through the most critical business and technical considerations and workflows for moving your data and databases into the cloud, with special attention paid to those who are deploying to the Microsoft Data Platform in Azure, especially SQL Server. Although this book focuses on migrating on-premises SQL Server enterprises to hybrid or fully cloud-based Azure SQL Database and Azure SQL Managed Instances, it also cover topics involving migrating non-SQL Server database platforms such as Oracle, MySQL, and PostgreSQL applications to Microsoft Azure.What You Will LearnPlan a database migration that ensures smooth project progress, optimal performance, low operating cost, and minimal downtimeProperly analyze and manage non-technical considerations, such as legal compliance, privacy, and team executionPerform athorough architectural analysis to select the best Azure services, performance tiers, and cost-containment featuresAvoid pitfalls and common reasons for failure relating to corporate culture, intra-office politics, and poor communicationsSecure the proper executive champions who can execute the business planning needed for successApply proven criteria to determine your future-state architecture and your migration methodExecute your migration using a process proven by the authors over years of successful projectsWho This Book Is ForIT leadership, strategic IT decision makers, project owners and managers, and enterprise and application architects. For anyone looking toward cloud migration projects as the next stage of growth in their careers. Also useful for enterprise DBAs and consultants who might be involved in such projects. Readers should have experience and be competent in designing, coding, implementing, and supporting database applications in an on-premises environment.
Häftad, Engelska, 2025
465 kr
Skickas inom 3-6 vardagar
Master the art of data transformation with the second edition of this trusted guide to dbt.Building on the foundation of the first edition, this updated volume offers a deeper, more comprehensive exploration of dbt’s capabilities—whether you're new to the tool or looking to sharpen your skills. It dives into the latest features and techniques, equipping you with the tools to create scalable, maintainable, and production-ready data transformation pipelines.Unlocking dbt, Second Edition introduces key advancements, including the semantic layer, which allows you to define and manage metrics at scale, and dbt Mesh, empowering organizations to orchestrate decentralized data workflows with confidence. You’ll also explore more advanced testing capabilities, expanded CI/CD and deployment strategies, and enhancements in documentation—such as the newly introduced dbt Catalog.As in the first edition, you’ll learn how to harness dbt’s power to transform raw data into actionable insights, while incorporating software engineering best practices like code reusability, version control, and automated testing. From configuring projects with the dbt Platform or open source dbt to mastering advanced transformations using SQL and Jinja, this book provides everything you need to tackle real-world challenges effectively.What You Will LearnUnderstand dbt and its role in the modern data stackSet up projects using both the cloud-hosted dbt Platform and open source projectConnect dbt projects to cloud data warehousesBuild scalable models in SQL and PythonConfigure development, testing, and production environmentsCapture reusable logic with Jinja macrosIncorporate version control with your data transformation codeSeamlessly connect your projects using dbt MeshBuild and manage a semantic layer using dbtDeploy dbt using CI/CD best practicesWhat You Will LearnUnderstand what dbt is and how it is used in the modern data stackSet up a project using both dbt Cloud and dbt CoreConnect a dbt project to a cloud data warehouseBuild SQL and Python models that are scalable and maintainableConfigure development, testing, and production environmentsCapture reusable logic in the form of Jinja macrosIncorporate version control with your data transformation codeSeamlessly connect your projects using dbt MeshBuild and manage a semantic layer using dbt CloudDeploy dbt using CI/CD best practicesWho This Book Is ForCurrent and aspiring data professionals, including architects, developers, analysts, engineers, data scientists, and consultants who are beginning the journey of using dbt as part of their data pipeline’s transformation layer. Readers should have a foundational knowledge of writing basic SQL statements, development best practices, and working with data in an analytical context such as a data warehouse.