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 Dive into the essential guide for modern data engineering on Databricks. This eBook brings together practical guidance, best practices and real-world case studies to help data professionals build reliable, scalable and high-quality data pipelines for analytics and AI.

What you’ll find inside:

  • Clear introductions to data engineering concepts & the Databricks Data Intelligence Platform
  • Step-by-step guidance on data ingestion, transformation, orchestration & governance
  • Tips and tricks for using Databricks Assistant & leveraging AI-powered productivity
  • DevOps and software engineering best practices for Delta Live Tables pipelines
  • Deep dives into data quality, schema management & scalable streaming with Spark
  • Ready-to-use notebooks, datasets & solution accelerators for hands-on learning
  • Case studies from leading organizations in automotive, financial services, retail & healthcare, showcasing how Databricks drives innovation & business value

Whether you’re a data engineer, architect, or business leader, this eBook provides actionable insights and proven patterns to help you unlock the full potential of your data estate and accelerate your journey to AI-driven outcomes.

Download the Big Book of Data Engineering and start building smarter, faster, and more reliable data solutions today.