Build the data platforms modern teams rely on

POS PostgreSQL 18 to build AI-driven enterprise apps with speed and intelligence. Learn with real-world examples, proven architectures, and advanced techniques for transactional, analytical, and AI workloads. Innovate. Scale. Win.

This book provides an expert-level exploration of PostgreSQL 17's advanced features, focusing on deployment strategies, performance optimization techniques, robust security measures, and effective troubleshooting methods.

This guide takes you from exploring Microsoft Fabric to designing and operating a complete, governed, and scalable data platform. Backed by decades of combined experience, the authors provide a strategic, end-to-end approach to modern analytics.

Learn how to analyze, transform, and extract insights from data using SQL. This book combines foundational knowledge with hands-on projects, helping you apply SQL to real business challenges and unlock the value in your data.

Build scalable, secure data solutions on Azure Databricks. Learn ingestion, transformation, real-time streaming, Unity Catalog governance, and ML workflows to make Databricks your central data engineering platform.

This book will help you learn about open table formats and pick the right table format for your needs, blending theoretical understanding with practical examples to enable you to build, maintain, and optimize lakehouses in production.

This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.

This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You'll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provider.

Modeling guides are often steeped in theory. This book's innovative approach combines practical modeling concepts with Snowflake best practices and unique features - allowing you to create efficient designs that leverage the power of the Data Cloud.

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.