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Data Lakehouse Architectures: Designing Unified, Intelligent, and Future-Ready Data Platforms

by Mohan Rayithi
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Current price ₹2,106.00
Original price ₹2,332.00
Original price ₹2,332.00
Original price ₹2,332.00
(-10%)
₹2,106.00
Current price ₹2,106.00

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Book cover type: Paperback
  • ISBN13: 9798249946302
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 188
  • Original Price: GBP 18.43
  • Language: English
  • Edition: N/A
  • Item Weight: 450 grams
  • BISAC Subject(s): Database Administration & Management

Data is no longer the challenge. Trust, scale, and intelligence are.

Data Lakehouse Architectures is the definitive guide to designing modern data platforms that unify data warehouses, data lakes, streaming systems, and AI workloads into a single, reliable foundation.

This book goes far beyond tools and trends. It explains why Lakehouses exist, how they work at scale, and how to design them correctly for real enterprises. From transactional reliability on object storage to AI-ready feature platforms, governance by design, and multi-cloud resilience, this book equips you with architectural clarity that survives hype cycles.

Written in a clear narrative style with real-world case studies, hands-on labs, failure scenarios, and future-ready insights, this book is built for data engineers, architects, analytics leaders, and AI practitioners who want systems that are fast, trustworthy, and built to last.

If you want to design data platforms that power analytics, AI, and decision-making for the next decade, this is the book you need.


What You'll Learn
  • Why data warehouses and data lakes failed to scale alone

  • How Lakehouses deliver ACID reliability on open object storage

  • Designing unified batch and streaming architectures

  • Data modeling, governance, and observability at scale

  • AI, machine learning, and feature engineering on Lakehouses

  • Cost engineering, performance optimization, and recovery strategies

  • Multi-cloud and hybrid Lakehouse architectures

  • Real-world industry case studies and migration strategies


Who This Book Is For
  • Data Engineers and Senior Data Engineers

  • Data Architects and Platform Architects

  • Analytics Engineers

  • Machine Learning Engineers

  • Cloud and Platform Engineers

  • Technical Leaders and CTOs

  • Professionals preparing for architecture-level interviews and certifications

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