BOOKS - Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven ...
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making - Pradeep Menon 2024 EPUB BPB Publications BOOKS
1 TON

Views
74762

Telegram
 
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Author: Pradeep Menon
Year: 2024
Format: EPUB
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
The book "Data Mesh Principles Patterns Architecture and Strategies for Data-Driven Decision Making" presents a comprehensive approach to data management and decision-making that can help organizations make better use of their data assets. The book covers topics such as data governance, architecture, and strategies for data-driven decision making, providing readers with a solid foundation for managing data effectively. It also explores the concept of a "data mesh," which refers to the interconnectedness of data across different systems and applications, and how it can be leveraged to improve decision-making processes. The book begins by discussing the importance of understanding the evolution of technology and its impact on society. The author argues that technology has evolved at an incredible pace over the past few decades, and this trend is likely to continue in the future. As a result, it's essential for individuals and organizations to stay up-to-date with the latest technological advancements to remain competitive and relevant.
В книге «Data Mesh Principles Patterns Architecture and Strategies for Data-Driven Decision Making» представлен комплексный подход к управлению данными и принятию решений, который может помочь организациям более эффективно использовать свои информационные ресурсы. Книга охватывает такие темы, как управление данными, архитектура и стратегии принятия решений на основе данных, предоставляя читателям прочную основу для эффективного управления данными. В нем также рассматривается концепция «сетки данных», которая относится к взаимосвязанности данных между различными системами и приложениями, и то, как ее можно использовать для улучшения процессов принятия решений. Книга начинается с обсуждения важности понимания эволюции технологий и их влияния на общество. Автор утверждает, что за последние несколько десятилетий технологии развивались невероятными темпами, и эта тенденция, скорее всего, сохранится в будущем. В результате для отдельных лиц и организаций важно быть в курсе последних технологических достижений, чтобы оставаться конкурентоспособными и актуальными.
''

You may also be interested in:

Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Implementing Data Mesh: Principles and Practice to Design, Build, and Implement Data Mesh
Implementing Data Mesh Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
Implementing Data Mesh Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Data Mining for Co-location Patterns Principles and Applications
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Enterprise Architecture Patterns with Python How to Apply DDD, Ports and Adapters, and Enterprise Architecture Design Patterns in a Pythonic Way (Early Release)
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
Data Mesh: Delivering Data-Driven Value at Scale
Data Mesh
Data Mesh in Action
Data mesh в действии
Data mesh в действии
Data Mesh in Action
Big Data Governance Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics
Big Data Management Data Governance Principles for Big Data Analytics, 1st Edition
Clean Architecture A Comprehensive Beginners Guide to Learn the Realms of Software Structures Using the Principles of Clean Architecture
Kickstart Software Design Architecture Transform Your Software Development Journey with Key Principles and Advanced Practices in Architecture, Microservices, and Cloud Computing
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Data Mining and Data Warehousing Principles and Practical Techniques
Implementing Azure Cloud Design Patterns: Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud
The Cybersecurity Mesh Architecture Composable, flexible, and scalable security approach for a resilient security ecosystem
The Cybersecurity Mesh Architecture Composable, flexible, and scalable security approach for a resilient security ecosystem
Data Architecture A Primer for the Data Scientist Second Edition
Data Fabric as Modern Data Architecture
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV: Special Issue on Data Management - Principles, Technologies, and Applications (Lecture Notes in Computer Science Book 14160)
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Big Data Revolution What farmers, doctors and insurance agents teach us about discovering big data patterns
Advanced Data Fetching Patterns in React Fast, User-Friendly Data Fetching for Developers
Advanced Data Fetching Patterns in React Fast, User-Friendly Data Fetching for Developers
Fluent C Principles, Practices, and Patterns
Ultimate Snowflake Architecture for Cloud Data Warehousing Architect, Manage, Secure, and Optimize Your Data Infrastructure Using Snowflake for Actionable Insights and Informed Decisions
Ultimate Snowflake Architecture for Cloud Data Warehousing Architect, Manage, Secure, and Optimize Your Data Infrastructure Using Snowflake for Actionable Insights and Informed Decisions
Ultimate Snowflake Architecture for Cloud Data Warehousing Architect, Manage, Secure, and Optimize Your Data Infrastructure Using Snowflake for Actionable Insights and Informed Decisions