Produkt zum Begriff Designing-Data-Intensive-Applications-:
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Designing Cloud Data Platforms
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it.about the technologyAccess to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization's data, and present it as useful business insights.about the bookIn Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you’ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you’ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what's insideThe tools of different public cloud for implementing data platformsBest practices for managing structured and unstructured data setsMachine learning tools that can be used on top of the cloudCost optimization techniquesabout the readerFor data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark.about the authorsDanil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.
Preis: 58.84 € | Versand*: 0 € -
Designing for Interaction: Creating Innovative Applications and Devices
Building products and services that people interact with is the big challenge of the 21st century. Dan Saffer has done an amazing job synthesizing the chaos into an understandable, ordered reference that is a bookshelf must-have for anyone thinking of creating new designs.”— Jared Spool, CEO of User Interface EngineeringInteraction design is all around us. If you’ve ever wondered why your mobile phone looks pretty but doesn’t work well, you’ve confronted bad interaction design. But if you’ve ever marveled at the joy of using an iPhone, shared your photos on Flickr, used an ATM machine, recorded a television show on TiVo, or ordered a movie off Netflix, you’ve encountered good interaction design: products that work as well as they look. Interaction design is the new field that defines how our interactive products behave. Between the technology that powers our devices and the visual and industrial design that creates the products’ aesthetics lies the practice that figures out how to make our products useful, usable, and desirable.This thought-provoking new edition of Designing for Interaction offers the perspective of one of the most respected experts in the field, Dan Saffer. This book will help youlearn to create a design strategy that differentiates your product from the competitionuse design research to uncover people’s behaviors, motivations, and goals in order to design for thememploy brainstorming best practices to create innovativenew products and solutionsunderstand the process and methods used to define product behaviorIt also offers interviews and case studies from industry leaders on prototyping, designing in an Agile environment, service design, ubicomp, robots, and more.
Preis: 25.67 € | Versand*: 0 € -
Designing the Requirements: Building Applications that the User Wants and Needs
Too many software applications don’t do what’s needed or they do it clumsily, frustrating their users and owners. The core problem: poorly conceived and poorly crafted requirements. In Designing the Requirements, Chris Britton explains why it’s not enough to simply “gather” requirements—you need to design them. Britton offers powerful techniques for understanding stakeholders’ concerns and working with stakeholders to get the requirements right. Using Britton’s context-driven approach to requirements design, you can detect inconsistencies, incompleteness, poor usability, and misalignment with business goals upstream—long before developers start coding. You can also design outward-looking applications and services that will integrate more effectively in a coherent IT architecture. First, Britton explains what requirements design really means and presents a hierarchy of designs that move step by step from requirements through implementation. Next, he demonstrates how to build on requirements processes you already use and how to overcome their serious limitations in large-scale development. Then, he walks you through designing your application’s relationship with the business, users, data, and other software to ensure superior usability, security, and maximum scalability and resilience. Whether you’re a software designer, architect, project manager, or programmer, Designing the Requirements will help you design software that works—for users, IT, and the entire business. Coverage includes Designing the entire business solution, not just its software component Using engineering-style design analysis to find flaws before implementation Designing services, and splitting large development efforts into smaller, more manageable projects Planning logical user interfaces that lead to superior user experiences Designing databases and data access to reflect the meaning of your data Building application frameworks that simplify life for programmers and project managers Setting reasonable and achievable goals for performance, availability, and security Designing for security at all levels, from strategy to code Identifying new opportunities created by context-driven design
Preis: 24.6 € | Versand*: 0 € -
Data Binding with Windows Forms 2.0: Programming Smart Client Data Applications with .NET
This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. “Brian Noyes’ writing style easily captures your attention as he elaborates on all aspects of data binding in his book. He has a refreshingly clear and crisp delivery as he starts each chapter with a simple tour of each topic, and then leads you into practical concerns for sound practices and extensibility opportunities. Most importantly, as Brian explains approaches to data-binding architecture, patterns of usage, the value of data sets, binding controls and the rest, he always describes how he reaches his recommendations on the topic. This book is perfect for newcomers to .NET 2.0, but also for those that have some experience. Anyone who cares about data in their applications (okay, that should be almost everyone) is guaranteed to learn something new and useful by reading Brian’s book.”—Michele Leroux Bustamante, IDesign chief architect, Microsoft regional director, and MVP“Brian has saved me a lot of time. I’m writing The Hitchhiker’s Guide to Visual Studio and SQL Server 2005 (7th Edition) and I’m not going to have to cover data binding nearly as deeply because Brian has done it for me. His book gets right to the meat of the subject and makes data binding look easy. I was also pleased to see that the book focuses on the misunderstood and under-applied Windows Forms architecture. It’s a must-read for anyone trying to make their application more interactive and to leverage the new Visual Studio 2005 technology. I’m planning to point my readers to this resource when they need an in-depth treatment of data binding.”—William Vaughn, president, Beta V Corporation“Data binding has finally come of age in Windows applications. Back in the Visual Studio 6.0 days, I ignored data binding completely and wrote my own repetitive code to encapsulate my business logic. With Visual Studio 2005, we finally have a robust and compelling data-binding technology. To ignore it today would make you inefficient and put you behind the curve. Brian delivers a clear and concise discussion of a core topic of development for Windows today. A combination of an easy-to-follow conversational yet technical tone, excellent examples, and solid explanations make this a must-read for any developer writing for Windows or learning to write for Windows.”—Stephen Forte, chief technical officer, Corzen Inc.“This book provides a clear, readable, and in-depth treatment of data binding, with detailed discussions of best practices in the presentation and use of data. Brian communicates his knowledge on the mechanics of data binding to give the low-level understanding that makes all the difference when building sophisticated applications and troubleshooting difficult problems. Effective data binding can enormously reduce the amount of code in your applications and will allow new levels of sophistication in your development. Read this book.”—Jonathan Cogley, chief executive officer, Thycotic, ASPInsider, and C# MVP“The .NET Framework 2.0, Visual Studio .NET 2005, and Windows Forms 2.0 incorporate the most powerful data-binding platform yet, and absolutely need a book like this to expose it. Brian’s extensive data-binding knowledge and experience shine through as he comprehensively explores its many facets, starting with the fundamentals before tackling a wide variety of real-world scenarios. I’ve always thought a data-binding book was necessary, and I’m glad Brian found the time to write his.”—Michael Weinhardt, freelance author and application developer“Data Binding with Windows Forms 2.0 earns a gold star and a prized place in my development book library. Brian is an exceptional teacher of technology, best practices, and technique. He continues to educate at every presentation I attend; his book carries that quality to paper. I found this book to be highly informative and full of all the important steps and examples necessary to learn this technology. In this book, Brian demonstrates a firm grasp on the concepts and I really enjoy his efforts to promote best practices at every chance. Definitively a cover-to-cover read.”—Randy Hayes, president, Expert Network Solutions, Inc.“Brian’s direct and well-organized presentation makes this much misunderstood topic finally understandable.”—Sahil Malik, author of Pro ADO.NET 2.0 and C# MVPData binding is the most important part of many business applications—and one of the most difficult things to understand. Data Binding with Windows Forms 2.0 is the first book to focus on this crucial area of development. It will quickly get you up to speed on binding data sources to Windows Forms components. The book contains clear examples in C# that work with SQL Server 2000 and SQL Server 2005. Visual Basic .NET examples are available on the book’s Web site. Brian Noyes, leading consultant and speaker on .NET programming, teaches you both the theory and practice of data binding and provides numerous samples ready to run in Visual Studio 2005.From his in-depth coverage, you’ll learn how toUse Visual Studio 2005 to generate a data-bound application from a databaseUse the new Visual Studio 2005 typed data set designer, and how and why to use typed data sets and typed data adaptersPerform simple and complex binding of data to controls, and how to use the .NET 2.0 BindingSourceUse the Binding object for simple binding with automatic formatting, and how to handle binding eventsGenerate bound controls with the Visual Studio Designer, and how to use Data SourcesPresent data with the new DataGridView control, and how to implement advanced features of the DataGridViewImplement custom data-bound controls in Windows FormsCreate custom business objects and collections that are suitable for use in data binding Implement validation and error handling at the Windows Forms and data-binding levelsImplement data binding with ASP.NET 2.0 and the upcoming Windows Presentation Foundation (Avalon) technologies
Preis: 39.58 € | Versand*: 0 €
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Was bedeuten Data Science und Data Engineering?
Data Science bezieht sich auf die Analyse und Interpretation von Daten, um Erkenntnisse und Muster zu gewinnen, die bei der Lösung von Problemen und der Unterstützung von Entscheidungsprozessen helfen. Data Engineering hingegen bezieht sich auf die Entwicklung und Verwaltung von Dateninfrastrukturen, um sicherzustellen, dass Daten effizient erfasst, gespeichert, verarbeitet und analysiert werden können. Data Engineering legt den Fokus auf die technische Seite der Datenverarbeitung, während Data Science sich auf die Analyse und Interpretation der Daten konzentriert.
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Was ist die nachfolgende Technologie für HTML Applications (HTA)?
Die nachfolgende Technologie für HTML Applications (HTA) ist die Progressive Web App (PWA). PWAs sind Webanwendungen, die sich wie native Apps verhalten und auf verschiedenen Plattformen und Geräten funktionieren. Sie bieten eine bessere Benutzererfahrung und können offline verwendet werden.
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Magst du intensive intellektuelle Unterhaltungen?
Als KI habe ich kein Gefühl für Vorlieben oder Abneigungen. Ich bin jedoch in der Lage, an intellektuellen Unterhaltungen teilzunehmen und Informationen bereitzustellen.
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Was ist eine intensive Beziehung?
Eine intensive Beziehung ist eine enge und tiefgehende Verbindung zwischen zwei Menschen. Sie zeichnet sich durch eine starke emotionale Bindung, gegenseitiges Verständnis und eine hohe Nähe aus. In einer intensiven Beziehung teilen die Partner oft ihre Gedanken, Gefühle und Erfahrungen miteinander und unterstützen sich gegenseitig in allen Lebensbereichen.
Ähnliche Suchbegriffe für Designing-Data-Intensive-Applications-:
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Learning Core Data for iOS: A Hands-On Guide to Building Core Data Applications
Get Started Fast with iOS 7 Core Data App DevelopmentCovers iOS 7 and Xcode 5This is the first Core Data book to fully reflect Apple’s latest platform innovations, including its dramatic recent improvements to iCloud support. Hands-on from start to finish, it teaches you step-by-step as you create a modern data-driven iOS app using Storyboards, ARC, iOS 7, and Xcode 5.Tim Roadley introduces new patterns and best practices designed to overcome the frustrations of Core Data development. One step at a time, you’ll build and extend your skills--even mastering advanced techniques such as complex model migration, deep copy, background processing, and integration with Dropbox, StackMob, and iCloud. Downloadable versions of this book’s main project are provided with each chapter, so you can see exactly what your app project should look like--and get cookbook-style code for your own projects. Chapter exercises help you explore even further, whether you’re a self-learner or a student in an iOS development course.If you’re an experienced iOS developer, this guide brings together all the skills, tools, code, and patterns you need to add powerful data management capabilities to any app--quickly, easily, and painlessly.Coverage includes the following:Understanding Core DataAdding Core Data to an existing projectDesigning, upgrading, and migrating data models (automatically and manually with progress indication)Populating views with data, including table-views and picker-viewsPreloading a “default data” persistent store from XMLDeep-copying from one persistent store to anotherPerformance tuning with Instruments, using large photos as the exampleBackground processing, using thumbnail generation as the exampleEfficient searchSeamlessly backing up and restoring with DropboxStable integration with iCloud--with full support for multiple accounts, seeding, and de-duplicationWeb service integration with StackMob
Preis: 18.18 € | Versand*: 0 € -
Learning Core Data for iOS with Swift: A Hands-On Guide to Building Core Data Applications
Get Started Fast with Core Data App Development Using iOS 9, Swift, and Xcode 7 Core Data is a remarkably mature, stable, and fast platform for data access, and Swift is a world-class language for applying it. Now, there’s a complete guide to using Core Data and Swift together in production apps. Tim Roadley shows you how to gain the benefits of a relational database without writing SQL queries, so you can get more done faster, with less coding. This book fully reflects Apple’s latest iOS 9 platform innovations and teaches Core Data entirely with Swift examples. It guides you step-by-step through creating a modern data-driven iOS app that fully integrates iCloud via CloudKit for public data sharing. Roadley introduces up-to-date patterns and best practices designed to overcome the frustrations of Core Data development. Each chapter builds on the last, introducing new topics in the order you’ll implement them and extending your skills simply and intuitively. Each chapter offers downloadable project code, along with exercises to help you explore even further, either as a self-learner or a student in an iOS development course. Roadley even shows how to build helper classes that simplify reuse of his example code. If you’re an experienced iOS developer, here are all the Swift skills and resources you need to integrate data into any app—quickly, easily, and painlessly. Coverage includes Understanding what Core Data is and what it can (and can’t) do Configuring basic managed object models, and choosing data types Expanding data models without introducing errors Using relationships and entity inheritance to unlock more power Delivering memory-efficient, high performance table views Enabling users to easily modify managed object attributes Generating persistent stores of preloaded default data Using Deep Copy to copy objects and relationships between persistent stores Optimizing performance by eliminating bottlenecks and offloading intensive tasks to the background Implementing efficient search Integrating diverse iCloud accounts and preferences Mastering advanced iCloud integration, including entity-level seeding and unique object de-dupe Leveraging public CloudKit databases to sync data across users with different iCloud accounts About the Website All code samples are available for download at timroadley.com. informit.com/learningseriestimroadley.com
Preis: 16.04 € | Versand*: 0 € -
Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projectsLearn from practical Python code examples and visualizations that bring essential algorithmic concepts to lifeStart with simple heuristics and improve them as your data pipeline maturesAvoid bad conclusions by implementing foundational error analysis techniquesCommunicate your results with basic data visualization techniquesMaster basic machine learning techniques, starting with linear regression and random forestsPerform classification and clustering on both vector and graph dataLearn the basics of graphical models and Bayesian inferenceUnderstand correlation and causation in machine learning modelsExplore overfitting, model capacity, and other advanced machine learning techniquesMake informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Preis: 35.3 € | Versand*: 0 € -
Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure
Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with data science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level. Focus on the expertise measured by these objectives: Design and prepare a machine learning solution Explore data and train models Prepare a model for deployment Deploy and retrain a model This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience in designing and creating a suitable working environment for data science workloads, training machine learning models, and managing, deploying, and monitoring scalable machine learning solutions About the Exam Exam DP-100 focuses on knowledge needed to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models by using the Azure Machine Learning designer, prepare a model for deployment, manage models in Azure Machine Learning, deploy and retrain a model, and apply machine learning operations (MLOps) practices. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure, including knowledge and experience using Azure Machine Learning and MLflow.
Preis: 49.21 € | Versand*: 0 €
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Kennt ihr gute intensive Filme?
Ja, hier sind einige intensive Filme, die du dir ansehen könntest: "Black Swan" ist ein psychologisches Drama über eine Balletttänzerin, die langsam den Verstand verliert. "Requiem for a Dream" ist ein düsteres Drama über Drogenabhängigkeit und die Zerstörung von Träumen. "Oldboy" ist ein südkoreanischer Thriller über einen Mann, der 15 Jahre lang gefangen gehalten wird und dann Rache sucht. "Whiplash" ist ein intensives Drama über einen jungen Schlagzeuger, der unter einem tyrannischen Musiklehrer leidet.
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Warum Data Scientist?
Warum Data Scientist? Data Scientist sind gefragt, weil sie komplexe Daten analysieren und interpretieren können, um fundierte Entscheidungen zu treffen. Sie spielen eine entscheidende Rolle bei der Optimierung von Geschäftsprozessen und der Entwicklung innovativer Produkte. Zudem bieten Data Science Karrieremöglichkeiten in verschiedenen Branchen und ermöglichen es, mit modernsten Technologien und Tools zu arbeiten. Nicht zuletzt ist Data Science ein spannendes und dynamisches Feld, das ständig neue Herausforderungen und Möglichkeiten bietet.
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Funktioniert Unlimited Data?
Ja, Unlimited Data funktioniert, solange der Mobilfunkanbieter tatsächlich unbegrenztes Datenvolumen anbietet. Es gibt jedoch oft Einschränkungen wie eine Drosselung der Geschwindigkeit nach einer bestimmten Datenmenge oder die Priorisierung anderer Nutzer bei Netzüberlastung. Es ist wichtig, die genauen Bedingungen des Tarifs zu überprüfen, um Missverständnisse zu vermeiden.
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Welche Förderungsmaßnahme gibt es für Data Analysts bzw. Data Scientists?
Es gibt verschiedene Förderungsmaßnahmen für Data Analysts und Data Scientists, je nach Land und Organisation. Zum Beispiel bieten Universitäten und Forschungseinrichtungen Stipendien und Forschungsprojekte an. Unternehmen können auch Weiterbildungsprogramme und Schulungen für ihre Mitarbeiter anbieten. Darüber hinaus gibt es auch staatliche Förderprogramme und Stipendien für Studierende und Forscher in diesem Bereich.
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