Databricks in Action: A Practical Guide to Data Engineering: Build, Optimize, and Deploy Modern Data Pipelines with Apache Spark, PySpark, SQL, and De

By: Raj, Rishu

Databricks in Action: A Practical Guide to Data Engineering

Modern data engineering is no longer just about moving data from one system to another. It is about building reliable, scalable, secure, and production-ready data platforms.

Databricks in Action: A Practical Guide to Data Engineering provides a practical journey through the technologies and concepts that power modern data engineering. From Apache Spark and PySpark to SQL, Delta Lake, streaming, data quality, optimization, governance, and production deployment, this book focuses on the skills needed to build real-world data pipelines.

Inside, readers will explore:

Data engineering fundamentals and modern lakehouse architectureApache Spark architecture and distributed processingPySpark programming and DataFrame operationsAdvanced SQL and data transformation techniquesData ingestion and incremental processingBronze, Silver, and Gold data architecturesDelta Lake, MERGE, time travel, optimization, and maintenanceBatch and streaming data pipelinesCDC and slowly changing dimensionsData quality, validation, and monitoringSpark performance optimization and troubleshootingDatabricks CLI and REST API automationSecurity, governance, and production deploymentEnd-to-end data engineering project practicesInterview questions and practical preparation

The book also includes detailed appendices covering SQL, PySpark, Spark functions, Delta Lake commands, Databricks CLI and REST API, troubleshooting, interview questions, and a complete project checklist.

Whether you are learning data engineering, preparing for a Databricks-focused role, or looking for a practical reference while building modern data pipelines, this book is designed to help you develop the knowledge and confidence to work with Databricks in real-world environments.

Learn the concepts. Build the pipelines. Troubleshoot the failures. Optimize the system. Think like a production data engineer.

• Format: Paperback
• Language: English
• ISBN: B0HDQ1NJT9
• ISBN13: 9798191905716
• Release Date: August 2026
• Publisher: Independently Published
• Length: 380 Pages
• Weight: 1.01 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"