Architecting Modern Data Platforms

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Architecting Modern Data Platforms

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Author : Jan Kunigk
language : en
Publisher:
Release Date : 2018

Architecting Modern Data Platforms written by Jan Kunigk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Apache Hadoop categories.

There's a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you'll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You'll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability.

Architecting Modern Data Platforms

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Author : Jan Kunigk
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-12-05

Architecting Modern Data Platforms written by Jan Kunigk and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Computers categories.

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Sharepoint 2010 Enterprise Architect S Guidebook

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Author : Reza Alirezaei
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-03

Sharepoint 2010 Enterprise Architect S Guidebook written by Reza Alirezaei and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-03 with Computers categories.

Tips and techniques for becoming a successful SharePoint architect If you're eager to design and architect a successful deployment of SharePoint 2010, then this is the book for you. Packed with real-world experiences and solid processes, this guidebook provides you with everything you need to perform for designing and architecting enterprise portal services. Helpful examples examine the common design issues affecting SharePoint 2010 environments that can cause deployments to fail so you can learn what to avoid. Plus, key development and deployment issues are covered from an architecture perspective and backup and disaster recovery planning are described at length. Details the skills and attributes necessary in order to design and architect successful SharePoint 2010 deployments Provides real-world scenarios and helpful examples of various types of enterprise portal services Discusses corporate Intranet service, enterprise content management, team collaboration services, enterprise search service, and more Addresses marketing your SharePoint 2010 solution to users to ensure they are aware of the services you provide With SharePoint 2010 Enterprise Architect’s Guidebook, you'll quickly discover the requirements for designing a successful SharePoint 2010 deployment.

Modern Data Architecture On Aws

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Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31

Modern Data Architecture On Aws written by Behram Irani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.

Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.

Data Lakehouse In Action

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Author : Pradeep Menon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-17

Data Lakehouse In Action written by Pradeep Menon and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Computers categories.

Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patterns Key FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an organization's needs and maturity levelBook Description The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success. The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application. By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner. What you will learnUnderstand the evolution of the Data Architecture patterns for analyticsBecome well versed in the Data Lakehouse pattern and how it enables data analyticsFocus on methods to ingest, process, store, and govern data in a Data Lakehouse architectureLearn techniques to serve data and perform analytics in a Data Lakehouse architectureCover methods to secure the data in a Data Lakehouse architectureImplement Data Lakehouse in a cloud computing platform such as AzureCombine Data Lakehouse in a macro-architecture pattern such as Data MeshWho this book is for This book is for data architects, big data engineers, data strategists and practitioners, data stewards, and cloud computing practitioners looking to become well-versed with modern data architecture patterns to enable large-scale analytics. Basic knowledge of data architecture and familiarity with data warehousing concepts are required.

Practical Lakehouse Architecture

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Author : Gaurav Ashok Thalpati
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-07-24

Practical Lakehouse Architecture written by Gaurav Ashok Thalpati and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture shows you how to: Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution Understand the differences between traditional and lakehouse data architectures Differentiate between various file formats and table formats Design lakehouse architecture layers for storage, compute, metadata management, and data consumption Implement data governance and data security within the platform Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case Make critical design decisions and address practical challenges to build a future-ready data platform Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse

Designing Cloud Data Platforms

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Author : Danil Zburivsky
language : en
Publisher: Simon and Schuster
Release Date : 2021-04-20

Designing Cloud Data Platforms written by Danil Zburivsky and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Computers categories.

1. Introducing the data platform -- 2. Why a data platform and not just a data warehouse -- 3. Getting bigger and leveraging the big 3: Amazon, Microsoft Azure, and Google -- 4. Getting data into the platform -- 5. Organizing and processing data -- 6. Real-time data processing and analytics -- 7. Metadata layer architecture -- 8. Schema management -- 9. Data access and security -- 10. Fueling business value with data platforms.

Designing Modern Data Systems

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Author : Jonah Prescott
language : en
Publisher:
Release Date : 2025-12-25

Designing Modern Data Systems written by Jonah Prescott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-25 with Computers categories.

Data systems outlive applications, frameworks, and infrastructure. They encode decisions that shape what a system can become-and what it can never safely change. Designing Modern Data Systems is a deep, decision-driven guide to building data systems that are reliable, scalable, and adaptable over time. Rather than focusing on tools or trends, this book teaches how to reason about architecture itself: how guarantees are chosen, where authority lives, how failures manifest, and how systems evolve under real-world pressure. Written for experienced engineers and architects, the book treats data systems as long-lived sociotechnical systems-not just databases or pipelines. It focuses on clarity of responsibility, explicit trade-offs, and preserving meaning as data moves, changes, and ages. This book takes a structured journey through modern data system design: How to define data systems as distinct from applications and infrastructure How non-functional requirements like reliability, availability, latency, and cost shape architecture long before technology choices How to design data models, storage engines, and indexing strategies that survive product evolution How to reason about replication, partitioning, coordination, and distributed transactions without accidental complexity How batch and stream processing fit into a unified view of data over time How logs, history, and derived data enable recovery, reprocessing, and safe change How to operate systems in production with observability, backpressure, and failure isolation How to design data systems that support machine learning and large language model platforms, including feature pipelines and embeddings How to migrate, evolve, and decommission systems without outages or loss of trust Throughout the book, ideas are grounded in a single evolving reference system, allowing readers to see how architectural decisions accumulate and interact as requirements change. What Makes This Book Different Decision-focused, not tool-driven The book avoids product comparisons and instead teaches how to evaluate any technology within clear architectural constraints. Explicit trade-offs, not recipes Every design choice is examined in terms of what it enables, what it forbids, and what it costs. Modern, without being trendy AI and LLM systems are addressed where they introduce real architectural pressure-without hype or speculation. Written for longevity The principles in this book are designed to remain relevant as tools, platforms, and organizational structures change. This book is written for: Software engineers designing backend and platform systems Data engineers responsible for storage, processing, and pipelines Staff, principal, and senior engineers shaping architectural direction Architects and technical leaders responsible for long-term system evolution Practitioners preparing for system design interviews who want judgment, not templates This is not: A beginner's introduction to databases A step-by-step tutorial for specific tools A catalog of technologies or patterns Instead, it is a book about how to think clearly about data systems, and how to design them so they remain understandable, trustworthy, and changeable over time. If you are responsible for making architectural decisions-and living with their consequences-Designing Modern Data Systems is written for you.

Expert Web Services Security In The Net Platform

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Author : Brian Nantz
language : en
Publisher:
Release Date : 2004-10-29

Expert Web Services Security In The Net Platform written by Brian Nantz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-29 with Computers categories.

Any company using .NET will eventually (if it hasn't already) expose part of its functionality as a .NET Web service, and securing these features will become job number one. Expert Web Services Security in the .NET Platform is a comprehensive treatment on how to secure Web services on the .NET platform. This book specifically focuses on Web services security, not general .NET security. Authors Brian Nantz and Laurence Moroney lay the foundation for a complete discussion of Web services security in the .NET platform by first describing the key aspects of security for the Windows operating system, Internet Information Services, and ASP.NET. They show developers how to use the WS-Security W3C specifications for industry-standard authentication, encryption, authorization, XML signature, attachments, and routing with Web services. The specific working code examples and clear-cut explanations will assist developers in readily integrating Web services security into their applications.

Hacking Digital Best Practices To Implement And Accelerate Your Business Transformation

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Author : Michael Wade
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-09-28

Hacking Digital Best Practices To Implement And Accelerate Your Business Transformation written by Michael Wade and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Business & Economics categories.

Improve your business performance through digital transformation Digital transformation has become commonplace across public and private sector organizations, and yet most struggle to achieve tangible results from it. Many make avoidable mistakes or fall into simple traps along the way. Written by a team of global digital transformation thought leaders, Hacking Digital provides practical advice and information that you need to successfully transform your organization. Hacking Digital is organized into six easy-to-follow sections: • Initiating Your Digital Transformation • Setting Up the Right Organizational Dynamics • Working with the Outside World • Creating Value in New Ways • Leading People and Organizations • Anchoring and Sustaining Performance How do you create a sense of urgency? How do you set up digital governance? How do you create successful digital offerings? How do you manage the relationship between digital transformation and IT? How do you scale digital initiatives? Hacking Digital answers these and many other questions you need to transform your organization and seize a competitive edge for years to come. www.hackingdigital.org