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Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business Challenges
Book Description
In 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.
Table of Contents
Section 1
Introducing Data Engineering with Databricks
Setting Up a Databricks Environment for Data Engineering
Working with Databricks Utilities and Clusters
Section 2
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
Index