Advanced Data Modeling Patterns
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Book 1
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Home > Computing and Information Technology > Databases > Data warehousing > Advanced Data Modeling Patterns: Master SQL, NoSQL, graph, and bi-temporal designs for enterprise data solutions 2025(Data Engineering 2025: The Future Is Now)
Advanced Data Modeling Patterns: Master SQL, NoSQL, graph, and bi-temporal designs for enterprise data solutions 2025(Data Engineering 2025: The Future Is Now)

Advanced Data Modeling Patterns: Master SQL, NoSQL, graph, and bi-temporal designs for enterprise data solutions 2025(Data Engineering 2025: The Future Is Now)


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About the Book

Struggling with data chaos? Do rigid schemas, disconnected databases, and slow queries hold back your enterprise's growth? Today's businesses are inundated with data, yet most struggle to extract clear insights efficiently from their sprawling, complex data systems. Enter "Advanced Data Modeling Patterns: Master SQL, NoSQL, Graph, and Bi-Temporal Designs for Enterprise Data Solutions 2025", your complete blueprint for crafting cohesive, scalable, and performance-driven data architectures. This practical guide equips data engineers, architects, and analytics professionals with powerful design patterns and hands-on techniques to effectively manage enterprise-scale data challenges. It covers four critical pillars-relational SQL models, flexible NoSQL schemas, insightful graph structures, and audit-ready bi-temporal designs-showing you exactly how and when to implement each. With this book, you will: Master proven relational patterns such as star schemas, snowflake schemas, and Data Vault implementations to optimize your analytics environments. Design agile NoSQL solutions using MongoDB documents, Cassandra wide-column stores, and Redis key-value caches tailored to your real-time needs. Harness powerful graph modeling in Neo4j for recommendation systems, fraud detection, and network analytics, enhancing the value of your connected data. Implement robust bi-temporal techniques in PostgreSQL, enabling precise historical analysis and auditability for compliance and governance. Adopt cutting-edge hybrid architectures like polyglot persistence, schema-on-read streaming, and event-driven schema evolution to future-proof your data infrastructure. Integrate automated testing, CI/CD workflows, and data governance practices ensuring reliability, accuracy, and collaborative development across your teams. Each chapter provides actionable insights, real-world case studies, and production-ready code snippets designed for immediate application. Gain the skills to confidently architect, deploy, and maintain versatile data solutions that empower faster decision-making and accelerate innovation across your enterprise. Stop fighting your data-start harnessing it. Purchase "Advanced Data Modeling Patterns: Master SQL, NoSQL, Graph, and Bi-Temporal Designs for Enterprise Data Solutions 2025" today and build the robust, adaptable, and future-ready data architecture your organization deserves.


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Product Details
  • ISBN-13: 9798290317533
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 170
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 358 gr
  • ISBN-10: 8290317530
  • Publisher Date: 30 Jun 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: Data Engineering 2025: The Future Is Now
  • Sub Title: Master SQL, NoSQL, graph, and bi-temporal designs for enterprise data solutions 2025
  • Width: 178 mm


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