Books

We'll be working on a platform made up of seventy-nine recipes together. It starts off as a simple task, printing a line, but by the last chapter it covers extraction, warehousing, containers, machine learning and incident response. You can't just throw away examples in your work, and you shouldn't be doing that in your examples either. You don't need to be an Airflow expert to get started. What you're really learning here isn't a tool. It's all about making sure work is repeatable, observable and safe to rerun.

Advanced Automation: 50-Chapter Master Script Package The Blueprint for Level 5 Autonomous Enterprise InfrastructureAre you ready to move past fragile ad-hoc scripts and engineer true, self-governing technical autonomy? In high-scale enterprise environments, automation is no longer about writing a quick Bash utility to clear a disk partition. It is about building resilient, self-healing systems that operate at a scale where manual intervention is a fundamental failure of design.

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.

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.

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.