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  • 1
    Online Resource
    Online Resource
    Software architecture hour with Neal Ford : Building a data mesh with Zhamak Dehghani (2022)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 audio file (58 min.))
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Software architecture ; Database management ; Audiobooks
    Abstract: Join us for a special conversation on data mesh with Neal Ford and data mesh creator Zhamak Dehghani. You'll learn how Zhamak's ideas around data mesh have evolved since she first presented the concept in 2018 and what has happened in the space since the publication of her book, Data Mesh: Delivering Data-Driven Value at Scale, in March of 2022. You'll also hear about some of the things that have made data mesh such a paradigm shift and discover ways to combat the potential for its misuse and abuse. This is a chance for you to hear about architecture and Neal and Zhamak's own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Explore the data mesh paradigm and get tips for building one yourself See what's coming next with software architecture This recording of a live event is for you because ... You want to learn about building and maintaining a data mesh. You're looking for ways to improve your architecture. Recommended follow-up: Read Data Mesh (book) Read Software Architecture Metrics (book) Read Designing Data-Intensive Applications (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture Superstream: Architecture Meets Data (live event on November 30).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Software architecture - The Hard Parts : Modern Trade-Off Analyses for Distributed Architectures (2021)
    Bejing : O'Reilly
    Details
    Language: English
    Edition: First Edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: There are no easy decisions in software architecture. Instead, there are many hard parts : difficult problems or issues with no best practices that force you to choose among various compromises to succeed. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--the authors examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance. By focusing on commonly asked questions, this book provides techniques to help you discoverand weigh the trade-offs as you confront the issues you face as an architect. You will: Analyze trade-offs and effectively document your decisions Make better decisions regarding service granularity Understand the complexities of breaking apart monolithic applications Manage and decouple contracts between services Handle data in a highly distributed architecture Learn patterns to manage workflow and transactions when breaking apart applications
    Note: Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Sofutwea ākitekucha, hādo pātsu : bunsan ākitekucha no tame no torēdo ofu bunseki (2022)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: ソフトウェアアーキテクチャ・ハードパーツ : : 分散アーキテクチャのためのトレードオフ分析 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400065 , 4814400063
    Language: Japanese
    Pages: 1 online resource (472 pages)
    Edition: Shohan.
    Uniform Title: Software architecture
    DDC: 005.1/2
    Keywords: Software architecture ; Electronic data processing Distributed processing
    Note: Includes bibiographical references , In Japanese.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    What's new in software architecture : Data mesh and the AI revolution with Zhamak Dehghani (2024)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Database management ; Big data ; Architecture logicielle ; Bases de données ; Gestion ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Neal Ford and Zhamak Dehghani for a discussion about the challenges of creating, sharing, and finding data and making your data work for you. With the rise of generative AI, companies need to manage large quantities of data and are looking at distributed data systems and data mesh to solve this challenge. The problem consists in getting from their existing data storage to a distributed data system that works for all stakeholders. As the originator of the concept of data mesh, and because of her ongoing work with scaling decentralized data, Zhamak is well positioned to provide updates and advice on this more holistic approach to data management. What's New in Software Architecture gives you a chance to explore trending topics in software architecture and to ask Neal and Zhamak Dehghani anything you want about data mesh, how to begin making the move to decentralized data, and their own career journeys. We will spend a few minutes covering the trends that are influencing software architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what a data mesh is and how it differs from other methods of storing and sharing data Learn the key data characteristics you need to be a data-led organization Explore the tools that can help you make the move to data mesh This live course is for you because... You want to hear from Neal Ford and Zhamak Dehghani about software architecture and data mesh. Recommended Follow-Up: Read Building an Event-Driven Data Mesh (book) Read Data Mesh (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Software Architecture Superstream Series : Architecture Meets Data (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does this move mean for delivering data? Join us to discover how understanding the intersection of software architecture and data can help you achieve new levels of velocity, agility, reliability, and efficiency. If you’re looking for ways to manage data as a software architect or developer, these sessions will help you learn what’s involved so you can chart a course toward a successful solution. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you'll learn-and how you can apply it Explore the intersection of software architecture and data Understand how and when to decompose monolithic data Learn how to apply evolutionary practices to databases and how to apply database refactoring patterns to evolve the database design See what’s coming next with data mesh, the next-generation analytical data platform This Superstream is for you because... You’re a developer or architect who wants to understand the intersection of architecture and data. You’re currently looking for ways to deliver data to support your businesses goals. You want to become well-versed in the foundations and best practices of software architecture and data. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Software Architecture by Example (live online training course with Mark Richards and Neal Ford) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman)
    Note: Online resource; Title from title screen (viewed January 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Data Mesh (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Software architecture superstream : Domain-driven design and event-driven architecture (2022)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/2
    Keywords: Software architecture ; Software engineering ; Architecture logicielle ; Génie logiciel ; Software architecture ; Software engineering ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Sponsored by AxonIQ Domain-driven design and event-driven architecture are inherently flexible and scalable, allowing organizations to build systems based on actual usage and needs. Whether you're examining the viability of these concepts or trying to make the most of an ongoing implementation, these sessions offer expert guidance on maximizing their value to your organization. About the Software Architecture Superstream Series: This five-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what's next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you'll learn and how you can apply it Learn how to use bounded contexts when defining your architecture See how event-driven patterns and domain-driven design can help when restructuring your monolith Get a glimpse of the future of domain-driven design and event-driven architectures This recording of a live event is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand how domain-driven design supports microservices-style architectures. You want to find out how event-driven architectures can help with integrating data in a distributed system. Recommended follow-up: Read Software Architecture: The Hard Parts (book) Read Learning Domain-Driven Design (book) Watch Software Architecture Fundamentals (video) Read Domain-Driven Design: Tackling Complexity in the Heart of Software (book) Watch Event-Driven Microservices (video) Take Fundamentals of Event-Driven Microservices (live online training course with Adam Bellemare) Read Data Mesh (book) Take Domain-Driven Design and Event-Driven Microservices (live online training course with Matt Stine) Take Domain-Driven Design: First Steps (live online training course with Andrew Harmel-Law).
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 8
    Online Resource
    Online Resource
    Data mesh (2023)
    [Place of publication not identified] : Ascent Audio
    Details
    ISBN: 9781663721198 , 166372119X
    Language: English
    Pages: 1 online resource (1 audio file (14 hr., 1 min.))
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management ; Big data ; Business enterprises ; Data processing ; Database management ; Information technology ; Management ; Audiobooks ; Audiobooks
    Abstract: We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. - Get a complete introduction to data mesh principles and its constituents - Design a data mesh architecture - Guide a data mesh strategy and execution - Navigate organizational design to a decentralized data ownership model - Move beyond traditional data warehouses and lakes to a distributed data mesh.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 28, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Software Architecture Hour with Neal Ford : Building a data mesh with Zhamak Dehghani (2022)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Big data ; Software architecture ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation on data mesh with Neal Ford and data mesh creator Zhamak Dehghani. You'll learn how Zhamak's ideas around data mesh have evolved since she first presented the concept in 2018 and what has happened in the space since the publication of her book, Data Mesh: Delivering Data-Driven Value at Scale, in March of 2022. You'll also hear about some of the things that have made data mesh such a paradigm shift and discover ways to combat the potential for its misuse and abuse. This is a chance for you to hear about architecture and Neal and Zhamak's own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Explore the data mesh paradigm and get tips for building one yourself See what's coming next with software architecture This recording of a live event is for you because... You want to learn about building and maintaining a data mesh. You're looking for ways to improve your architecture. Recommended follow-up: Read Data Mesh (book) Read Software Architecture Metrics (book) Read Designing Data-Intensive Applications (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture Superstream: Architecture Meets Data (live event on November 30).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Data Mesh : eine dezentrale Datenarchitektur entwerfen (2023)
    Heidelberg : dpunkt
    Details
    Language: German
    Pages: 1 online resource (388 pages) , illustrations
    Edition: 1. Auflage.
    DDC: 005.7
    Keywords: Big data ; Database management ; Business enterprises Data processing ; Information technology Management
    Abstract: Wir befinden uns an einem Wendepunkt im Umgang mit Daten. Unser bisheriges Datenmanagement wird der Komplexität der Organisationsstrukturen, der immer zahlreicheren Datenquellen und dem steigenden Interesse am Einsatz von künstlicher Intelligenz nicht mehr gerecht. In diesem praxisorientierten Buch führt die Autorin Zhamak Dehghani in Data Mesh ein, ein dezentrales soziotechnisches Paradigma basierend auf Konzepten moderner verteilter Architekturen. Data Mesh ist ein neuer Ansatz für die Beschaffung, Bereitstellung, den Zugriff und die Verwaltung analytischer Daten, der auch skaliert. Zhamak Dehghani begleitet Softwarearchitekt:innen, Entwickler:innen und Führungskräfte auf ihrem Weg von einer traditionellen, zentralen Big-Data-Architektur hin zu einer verteilten, dezentralen Organisationsstruktur für die Verwaltung analytischer Daten. Dabei behandelt Data Mesh Daten als Produkt, ist stark domänengetrieben und zielt auf eine Self-Serve-Datenplattform ab. Das Buch erläutert technische Migrationsstrategien, aber auch den organisatorischen Wandel hin zu neuen Teamstrukturen, Rollen und Verantwortlichkeiten, die mit dezentralen Architekturen einhergehen.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
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