Publisher: Packt Publishing
Ernesto Pellegrino, Manuel André Bottiglieri, Gavin Crump,...
Business intelligence software has rapidly spread its roots in the AEC industry during the last few years. This has happened due to the presence of rich digital data in BIM models whose datasets can be gathered, organized, and visualized through software such as Autodesk Dynamo BIM and Power BI.Managing and Visualizing Your BIM Data helps you understand and implement computer science fundamentals to better absorb the process of creating Dynamo scripts and visualizing the collected data on powerful dashboards. This book provides a hands-on approach and associated methodologies that will have you productive and up and running in no time. After understanding the theoretical aspects of computer science and related topics, you will focus on Autodesk Dynamo to develop scripts to manage data. Later, the book demonstrates four case studies from AEC experts across the world. In this section, you’ll learn how to get started with Autodesk Dynamo to gather data from a Revit model and create a simple C# plugin for Revit to stream data on Power BI directly. As you progress, you’ll explore how to create dynamic Power BI dashboards using Revit floor plans and make a Power BI dashboard to track model issues.By the end of this book, you’ll have learned how to develop a script to gather a model’s data and visualize datasets in Power BI easily.
Managing Data as a Product. Design and build data-product-centered socio-technical architectures
Andrea Gioia, Giulio Scotti
Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. With two decades of hands-on experience implementing data solutions and his pioneering work in the Open Data Mesh Initiative, Andrea Gioia brings practical insights and proven strategies for transforming how organizations manage their data assets.Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products. In this book, you’ll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book guides you through designing and implementing an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. It also covers data modeling in distributed environments and its role in enabling modern generative AI.By the end of this book, you’ll understand product-centric data architecture and how to adopt it.*Email sign-up and proof of purchase required
Jane Sarah Lat
Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations.The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases.After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.
Kirill Dubovikov
Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.
Martin Bauer, eZ Systems as
open-source CMS (content management system) and development framework with functionality for web publishing, intranets, e-commerce, extranets, and web portals.In this book, Martin Bauer of designit.com.au an eZ publish Silver partner, teaches you how to successfully manage and implement an eZ publish web content management project. He shows you how to produce quality results in a repeatable manner with the minimum of effort, and end up with eZ publish solutions that will delight your clients.The book presents strategies, best practices, and techniques for all steps of your eZ publish project, starting from client requirements, through planning, information architecture and content modeling, design considerations, and right up to deployment, client training, maintenance, support, and upgrades.
Ved Antani
Cloud computing has transformed the way that we write and deploy enterprise software. Oracle Enterprise Manager Cloud Control 12c has been designed to work with the cloud platform and reduce downtime, while improving performance and productivity. You can quickly set up, manage, and support enterprise clouds.This practical, example-oriented guide untangles many of the complexities involved in setting up a complete cloud computing platform. This book explores several methods of setting up IaaS and DBaaS using Oracle's Enterprise Manager. Step-by-step, this guide will quickly familiarize you with the most important aspects of setting up a cloud platform.This book delves deep into the complexities surrounding cloud computing and comprehensively explores the approach that you need to take to build an effective infrastructure. You will start with a step-by-step approach to building an Infrastructure as a Service (IaaS), and take an in-depth view of building a Database as a Service (DBaaS) model of cloud computing. Following on from this, you will learn how the chargeback mechanism works and how it can be configured for your needs. Next, you will also learn how to use a programmable interface to manage your cloud via APIs and web services.This guide will walk you through the various components of Oracle Enterprise Manager and will teach you how to use them efficiently. This book will also explain how you can use cloud APIs to program your cloud.
Andrew Block, Austin Dewey, Rimantas Mocevicius "rimusz"
Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer’s skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm.Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you’ll delve into the primitives of Helm charts and their architecture and use cases. From there, you’ll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security.By the end of this book, you’ll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes.
