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In this e-book, you will learn how to:
- How to enable modern data engineering in the era of AI and Gen AI
- Proven strategies for building scalable, secure, and production-ready data pipelines
- Real-world applications of lakehouse architecture across industries like banking, healthcare, and automotive
- Practical insights and best practices for enterprises
As data volumes explode and business requirements grow more complex, the pressure is on for data engineering teams to deliver faster insights, stronger governance, and scalable architectures — all without adding unnecessary overhead.
But the reality is legacy systems are straining under the weight of modern demands. From healthcare providers struggling to unify disparate systems to banks racing to enable secure data sharing, organizations across industries are hitting the same roadblocks — siloed data, performance bottlenecks, and a lack of real-time visibility.
This eBook by Databricks and Infocepts offers a clear path forward. Featuring real-world implementations and technical best practices, it explores how organizations like Coastal Community Bank, Powys Teaching Health Board, and Trek are using the Databricks Data Intelligence Platform to build modern, cloud-native data foundations.
What you’ll learn:
- Strategies for unifying batch and streaming data with Delta Live Tables
- Tips for handling schema drift and REST API integrations at scale
- Governance models with Unity Catalog for secure and compliant data sharing
- Practical insights from enterprise case studies across banking, healthcare, and retail
- Ready-to-use notebooks, dev tools, and design patterns that accelerate development
Whether you’re orchestrating pipelines, scaling analytics, or modernizing healthcare systems — this guide equips you with the tools and success stories to drive impact with data.
Download the eBook to learn how leading organizations are solving today’s toughest data challenges.