Products related to Data:
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Enterprise Data Architecture : How to navigate its landscape
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Nature-Based Design in Landscape Architecture
Nature-Based Design in Landscape Architecture showcases a range of built works designed by landscape architects from many countries of the world representing diverse environmental regions and uses.These projects demonstrate the transformative potential of a nature-based approach to landscape architecture. The nature-based design approach supports and encourages natural regeneration with a view to promoting sustainable environments, preserving natural resources, and mitigating the impacts of climate change and development.The projects selected for this book demonstrate the potential of nature-based landscape design to support healthy, natural and managed ecosystems, sequester carbon, and support the recovery of biodiversity.In addition to examples of design-led environmental interventions, Nature-Based Design in Landscape Architecture, the book, also demonstrates the potential for nature-based design to improve people’s relationship with their surroundings by encouraging them to be active participants in their communities.As such, each project featured in the book promotes a discussion around future scenarios in which landscape architects can and will be engaged, from minimizing environmental impact through sustainable design to fostering social justice through community engagement. This book will be a welcome supplement for undergraduate landscape architecture, survey or design studio courses, and may also be used at the master’s degree level either as part of a landscape architecture survey seminar or early design studio.
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Back to Nature : Architecture Blends Into Landscape
A curated collection of the finest international architectural studios and their projects.This book showcases how innovative architectural designs seamlessly integrate with and complement the natural landscape, creating harmonious and captivating environments.Discover the artistry of architects who skilfully blend their creations with nature's beauty, redefining the boundaries between man-made and natural worlds.
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Data Architecture: A Primer for the Data Scientist : A Primer for the Data Scientist
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making.Throughout all this change, the basic principles that shape the architecture of data have remained the same.There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems.This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data.Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential.Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
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How can you convert photos from portrait to landscape orientation?
To convert photos from portrait to landscape orientation, you can use photo editing software such as Adobe Photoshop or GIMP. Open the photo in the software, then use the cropping tool to adjust the dimensions to a landscape orientation. You may need to crop out some parts of the original photo to fit the new orientation. Once you are satisfied with the new dimensions, save the photo in the landscape orientation.
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What is the difference between camera settings for landscape shots and portrait photos?
The main difference between camera settings for landscape shots and portrait photos is the aperture setting. For landscape shots, a smaller aperture (higher f-stop number) is typically used to achieve a larger depth of field and ensure that both the foreground and background are in focus. On the other hand, for portrait photos, a larger aperture (lower f-stop number) is often used to create a shallow depth of field, resulting in a blurred background that helps to emphasize the subject. Additionally, the focal length and composition may also vary between the two types of photography.
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Are the data of iCloud Photos encrypted?
Yes, the data of iCloud Photos are encrypted both in transit and at rest. This means that when photos are uploaded to iCloud, they are encrypted before being sent over the internet, and they remain encrypted while stored on Apple's servers. This encryption helps to protect the privacy and security of users' photos and ensures that only authorized users can access them.
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Why should one study landscape architecture?
Studying landscape architecture provides a unique opportunity to blend creativity with environmental sustainability and social impact. It allows individuals to design outdoor spaces that not only enhance the beauty of the environment but also improve the quality of life for communities. By studying landscape architecture, one can contribute to creating sustainable and resilient landscapes that address pressing issues such as climate change, urbanization, and biodiversity loss. Additionally, the field offers a diverse range of career opportunities in areas such as urban planning, environmental conservation, and landscape design.
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Modern Data Architecture on Azure : Design Data-centric Solutions on Microsoft Azure
This book is an exhaustive guide to designing and implementing data solutions on Azure.It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure.Here, you will learn data processing for complex analysis and how to work with CSV and JSON files.Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure.From there, you’ll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more.The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. What Will You LearnUnderstand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata managementAnalyze and understand business needs to choose the right Azure services and make informed business decisionsUnderstand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelinesModernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle managementWho Is This Book For:Data solution architects, data engineers, and IT consultants who want to gain a better understanding of modern data architecture design and implementation on Azure.
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Data Mesh : Principles, patterns, architecture, and strategies for data-driven decision making
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The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture
More organizations than ever understand the importance of data lake architectures for deriving value from their data.Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake.Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organizationGet guidance and best practices for designing performant and scalable data lakesExamine architecture and design choices, and data governance principles and strategiesBuild a data strategy that scales as your organizational and business needs increaseImplement a scalable data lake in the cloudUse cloud-based advanced analytics to gain more value from your data
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Software Architecture for Big Data and the Cloud
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems.The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others.Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data.This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.
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What is the difference between landscape architecture and landscape planning?
Landscape architecture focuses on the design and planning of outdoor spaces, including parks, gardens, and urban plazas, with a focus on aesthetics, functionality, and sustainability. Landscape architects often work on specific projects, creating detailed designs and plans for outdoor spaces. On the other hand, landscape planning is a broader field that involves the strategic and holistic planning of land use, natural resources, and environmental conservation. It encompasses the assessment, analysis, and management of landscapes at a larger scale, often involving multiple stakeholders and considering long-term impacts on the environment and communities. In summary, landscape architecture is more focused on the design and aesthetics of outdoor spaces, while landscape planning involves the strategic and comprehensive planning of land use and natural resources.
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How can you mix portrait and landscape videos?
To mix portrait and landscape videos, you can use video editing software to adjust the orientation of the videos. You can rotate the portrait videos to landscape orientation or vice versa to create a cohesive look. Additionally, you can use techniques such as adding borders or background images to seamlessly blend the different orientations together. Experimenting with different layouts and transitions can help you create a visually appealing video that combines both portrait and landscape footage.
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Which field of study do you prefer: Architecture or Landscape Architecture?
I prefer Landscape Architecture because I am drawn to the natural environment and the opportunity to create sustainable and beautiful outdoor spaces. I am passionate about incorporating elements of nature into design and creating spaces that promote well-being and harmony with the environment. Additionally, I appreciate the interdisciplinary nature of Landscape Architecture, which allows for a holistic approach to design that considers ecological, social, and aesthetic factors.
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When is new data volume coming?
New data volume is expected to arrive next month, as we are currently in the process of collecting and analyzing the latest information. We anticipate that the new data will provide valuable insights and updates to our current understanding of the topic. Stay tuned for the release of the new data volume in the coming weeks.
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