Data Management at Scale (2nd ed.)

Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition

Description:
As the volume of data continues to grow, traditional approaches to data management, such as centralizing everything in a data warehouse, have become insufficient. In Data Management at Scale, author Piethein Strengholt provides a practical and comprehensive guide to designing modern data architectures that meet the evolving needs of today’s organizations.

This second edition focuses on the challenges of managing data at scale using cutting-edge solutions like data mesh and data fabric. Whether you’re an executive, architect, engineer, or part of an analytics or compliance team, this book gives you a deep dive into the next generation of data management systems that emphasize decentralization and scalability.

You will learn about key data management trends like regulatory compliance and data privacy, while exploring detailed blueprints and patterns to build a modern data landscape. With cloud data landing zones, domain-driven design, and data product design covered in depth, this book prepares you to handle data at scale, while maintaining governance, security, and self-service capabilities.

Key Features:

• Modern Data Architecture: Learn how to build scalable data architectures using data mesh and data fabric.
• Data Governance & Security: Explore strategies for managing data security, privacy, and compliance.
• Domain-Driven Design: Apply domain-driven design to enhance data management.
• Self-Service Data: Set up self-service data marketplaces and manage metadata effectively.
• Cloud Data Landing Zones: Deep dive into cloud architectures for scalable data management.

What Is Data Management?

Data management refers to the practice of collecting, storing, organizing, and maintaining data to ensure its accessibility, accuracy, and security. It encompasses a variety of processes and tools, including data governance, data security, data integration, and data storage solutions. Effective data management ensures that organizations can derive meaningful insights from their data while adhering to compliance and privacy regulations.

In today’s landscape, modern data management approaches like data mesh and data fabric offer decentralized frameworks that enable scalability. These approaches distribute responsibilities across different teams or domains, improving data access, quality, and usability while fostering innovation. Managing data effectively also involves ensuring proper data lifecycle management, from ingestion to analysis, and making data available in real-time to meet business needs.

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Product Details:

• Publisher: O’Reilly Media
• Published: April 2023
• ISBN: 9781098138837
• Language: English
• Print Length: 412 pages
• Format: PDF