Books

The Databricks platform and data-engineering playbook for the engineers who own pipelines, govern catalogs, and keep workloads on schedule. Sixteen chapters on Unity Catalog, Lakeflow, identity, observability, and performance. Azure examples; concepts mapped to AWS and GCP.

Every click, online transaction, social media interaction, business operation, healthcare record, mobile application, and connected device generates data. However, raw data alone cannot create value. The real power lies in discovering meaningful patterns, hidden relationships, useful knowledge, future trends, and actionable insights from that data.

ES|QL is a fresh, piped language with its own compute engine, built for the way people actually think. You start with a source, then chain small, clear steps with a single pipe, just like you would at a command line. Filter, transform, aggregate, search, enrich, and rank, all in one easy-to-read line that goes from top to bottom like a sentence.

How does code actually run under the hood? Stop guessing and master the hidden physics of execution. Learn how Python and Java truly manage memory, layout data structures, and drive high-performance algorithms.

This book is all about having a deep understanding of every configuration decision, every index design, every backup policy, and every failover drill. All the recipes in this book are for real-life tasks that you'd actually do, with all the exact commands and configurations that work on a production linux server running MySQL.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.