Modern Data
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Modern Data Strategy
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Author : Mike Fleckenstein
language : en
Publisher: Springer
Release Date : 2018-02-12
Modern Data Strategy written by Mike Fleckenstein and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-12 with Computers categories.
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
The Modern Data Center A Comprehensive Guide
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Author : Charles Nehme
language : en
Publisher: Charles Nehme
Release Date :
The Modern Data Center A Comprehensive Guide written by Charles Nehme and has been published by Charles Nehme this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Purpose of the Book In today's digital age, data centers are the backbone of virtually every industry, from finance and healthcare to entertainment and retail. This book, "The Modern Data Center: A Comprehensive Guide," aims to provide a thorough understanding of the complexities and innovations that define contemporary data centers. Whether you are an IT professional, a data center manager, or a technology enthusiast, this guide is designed to equip you with the knowledge necessary to navigate and excel in the ever-evolving landscape of data centers. The Evolution and Significance of Modern Data Centers Data centers have come a long way since the early days of computing. What began as simple server rooms has evolved into sophisticated, multi-layered environments that support a wide range of applications and services critical to modern business operations. The significance of data centers cannot be overstated—they are integral to the functioning of the internet, cloud services, and the digital infrastructure that supports our daily lives. Target Audience This book is tailored for a diverse audience: IT Professionals: Gain in-depth knowledge of the latest technologies and best practices in data center design, management, and operations. Data Center Managers: Discover strategies for optimizing performance, enhancing security, and ensuring compliance. Technology Enthusiasts: Understand the foundational concepts and future trends shaping the data center industry. Structure of the Book "The Modern Data Center: A Comprehensive Guide" is divided into five parts, each focusing on a different aspect of data centers: Foundations of Data Centers: Covers the historical evolution, core components, and architectural frameworks. Design and Planning: Discusses site selection, design principles, and capacity planning. Technologies and Trends: Explores virtualization, cloud computing, automation, and networking innovations. Operations and Management: Details day-to-day operations, monitoring, security, and compliance. Future Directions: Looks at emerging technologies, sustainability, and future trends in data center development. Key Topics Covered Historical Context: Learn about the origins and development of data centers. Core Components: Understand the essential elements that make up a data center. Modern Architectures: Explore traditional and cutting-edge data center architectures. Design and Efficiency: Discover best practices for designing scalable and sustainable data centers. Operational Excellence: Gain insights into effective data center management and operations. Technological Innovations: Stay updated on the latest trends and technologies transforming data centers. Future Insights: Prepare for the future with predictions and expert insights into the next generation of data centers. Our Journey Together As we embark on this journey through the world of modern data centers, you will gain a comprehensive understanding of how these critical infrastructures operate, evolve, and shape the future of technology. Each chapter builds on the last, providing a layered approach to learning that ensures you have a well-rounded grasp of both the theoretical and practical aspects of data centers. Thank you for choosing "The Modern Data Center: A Comprehensive Guide." Let’s dive into the intricate and fascinating world of data centers, where technology, innovation, and strategic planning converge to power the digital age.
Sage Modern Data
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Author : Samuel Livingston
language : en
Publisher: Publifye AS
Release Date : 2025-02-18
Sage Modern Data written by Samuel Livingston and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Health & Fitness categories.
""Sage Modern Data"" explores the scientific evidence behind the health benefits of Salvia officinalis, or common sage. Bridging traditional herbal medicine with modern science, the book investigates sage's potential in cognitive function, anti-inflammatory action, and metabolic health. Interestingly, studies suggest sage may improve memory and cognitive performance, while its antioxidant properties could combat chronic inflammation linked to various diseases. The book adopts a data-driven approach, analyzing clinical trials and research to validate sage's effects. It progresses from the plant's botany and history to detailed analyses of its impact on cognitive processes, inflammatory responses, and metabolic regulation. Emphasis is placed on evidence-based practices, offering insights into appropriate dosages and potential risks. Ultimately, the book underscores the importance of rigorous scientific investigation to unlock sage's full potential in modern healthcare.
Modern Data Science With R
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Author : Benjamin S. Baumer
language : en
Publisher: CRC Press
Release Date : 2021-03-31
Modern Data Science With R written by Benjamin S. Baumer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Business & Economics categories.
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
Architecting Modern Data Platforms
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Author : Jan Kunigk
language : en
Publisher: O'Reilly Media
Release Date : 2018
Architecting Modern Data Platforms written by Jan Kunigk and has been published by O'Reilly Media 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
Modern Big Data Architectures
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Author : Dominik Ryzko
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-31
Modern Big Data Architectures written by Dominik Ryzko 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 2020-03-31 with Computers categories.
Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.
Modern Data Structures And Algorithms In Rust
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Author :
language : en
Publisher: RantAI
Release Date : 2024-09-30
Modern Data Structures And Algorithms In Rust written by and has been published by RantAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
Unlock the Power of Data with Rust! 📊🦀 Introducing Modern Data Structures and Algorithms in Rust (DSAR)—your definitive guide to mastering data structures and algorithms using the cutting-edge Rust programming language! 🚀 Whether you're a student diving into computer science or a professional aiming to enhance your software engineering skills, DSAR is crafted to elevate your understanding and application of fundamental and advanced concepts. ✨ Dive deep into: 🔍 Fundamental (F): Grasp the essential building blocks of data structures and algorithms. 💡 Conceptual (C): Explore the theories that drive efficient problem-solving. 🛠️ Practical (P): Implement robust and high-performance solutions with Rust’s unique features. With over 500+ hands-on examples 🤖 and interactive exercises, DSAR empowers you to build memory-safe, concurrent, and lightning-fast applications. 💻 Each chapter seamlessly integrates Rust’s powerful capabilities with time-tested algorithmic strategies, ensuring you not only learn but also apply your knowledge effectively. 🧩 Why Choose DSAR? ✅ Memory Safety: Leverage Rust’s ownership model to write secure code without sacrificing performance. ✅ Concurrency: Master concurrent programming to build scalable and efficient applications. ✅ Performance: Optimize your algorithms to run at peak speed with Rust’s low-level control. Embrace a modern approach to learning and software development—transform your coding prowess with DSAR’s innovative and comprehensive content! 📚 Perfect for learners at every stage, Modern Data Structures and Algorithms in Rust will deepen your technical expertise and prepare you for the challenges of today’s dynamic tech landscape. 🌟 Start your journey towards becoming a Rustacean data maestro today! 🏆
Mastering The Modern Data Stack
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Author : Nick Jewell, PhD
language : en
Publisher: TinyTechMedia LLC
Release Date : 2023-09-28
Mastering The Modern Data Stack written by Nick Jewell, PhD and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Computers categories.
In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™
Modern Data
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Author :
language : en
Publisher:
Release Date : 1973
Modern Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Computers categories.
Soda Core For Modern Data Quality And Observability
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Soda Core For Modern Data Quality And Observability written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Soda Core for Modern Data Quality and Observability" In "Soda Core for Modern Data Quality and Observability," readers are expertly guided through the intricate landscape of data quality management and observability in today's dynamic data environments. The book delivers a thorough introduction to the key dimensions of data quality—including accuracy, completeness, timeliness, and consistency—and explores the rise of modern data observability. With careful attention to architectural challenges in distributed data systems and the growing need for quantifiable data quality metrics, it provides a robust foundation for organizations seeking proactive assurance in their data operations. The heart of the book is a comprehensive examination of Soda Core—an advanced, open-source platform for data quality monitoring. Detailed chapters unveil Soda Core's flexible architecture, deployment strategies, and integration capabilities, equipping professionals to define, automate, and manage complex data quality checks at scale. Practical guidance on YAML-driven configuration, dynamic anomaly detection, and seamless integration with orchestration frameworks such as Airflow and dbt empowers teams to implement continuous data assurance across diverse environments, from on-premises infrastructure to the cloud. Beyond technical implementation, this authoritative resource addresses the broader enterprise context, including the operationalization of end-to-end observability, security, compliance automation, and the extensibility of Soda Core through custom plugins and APIs. Real-world industry use cases highlight successful deployments in regulated sectors, modernization projects, and real-time streaming scenarios, while expert insights reveal best practices, anti-patterns, and future trends in data quality engineering. With clear explanations and actionable strategies, this book becomes indispensable for data engineers, architects, and leaders aiming to build resilient, reliable, and trustworthy data ecosystems.