Kumar Manoj. Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow

Orange Education Pvt Ltd., 2024. — 526 p. — ISBN-13: 978-81-96862-01-5.Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business ChallengesBook DescriptionIn today’s data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data, analytics and AI requirements of numerous organizations worldwide.Mastering Data Engineering and Analytics with Databricks goes beyond the basics, offering a hands-on, practical approach tailored for professionals eager to excel in the evolving landscape of data engineering and analytics.This book uniquely blends foundational knowledge with advanced applications, equipping readers with the expertise to build, optimize, and scale data pipelines that meet real-world business needs. With a focus on actionable learning, it delves into complex workflows, including real-time data processing, advanced optimization with Delta Lake, and seamless ML integration with MLflow — skills critical for today’s data professionals.Introducing Data Engineering with Databricks.
Setting Up a Databricks Environment for Data Engineering.
Working with Databricks Utilities and Clusters.Extracting and Loading Data Using Databricks.
Transforming Data with Databricks.
Handling Streaming Data with Databricks.
Creating Delta Live Tables.
Data Partitioning and Shuffling.
Performance Tuning and Best Practices.
Workflow Management.
Databricks SQL Warehouse.
Data Storage and Unity Catalog.
Monitoring Databricks Clusters and Jobs.
Production Deployment Strategies.
Maintaining Data Pipelines in Production.
Managing Data Security and Governance.
Real-World Data Engineering Use Cases with Databricks.
AI and ML Essentials.
Integrating Databricks with External Tools.