Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
- Printed book:
- Kindle book:
2026-03-09 (first published: 2026-02-03)
455 reads
This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.
- Printed book:
- Kindle book:
2026-03-06 (first published: 2026-02-03)
188 reads
In a world dominated by data, organizations heavily rely on business intelligence tools like Power BI for deriving insights and informed decision-making. Yet, as data volumes grow and user demands increase, achieving optimal performance becomes challenging.
- Printed book:
- Kindle book:
2026-03-04 (first published: 2025-03-26)
1,795 reads
A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.
- Printed book:
- Kindle book:
2026-03-02 (first published: 2026-02-04)
947 reads
A step-by-step guide to harness the power of Microsoft Fabric in developing data analytics solutions for various use cases
- Printed book:
- Kindle book:
2026-02-27 (first published: 2024-11-25)
12,738 reads
Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller.
- Printed book:
- Kindle book:
2026-02-25 (first published: 2026-02-03)
223 reads
Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization.
- Printed book:
- Kindle book:
2026-02-16 (first published: 2024-09-18)
3,939 reads
Adoption and use of PostgreSQL is growing all the time. From mom-and-pop shops to large enterprises, more data is being managed by PostgreSQL. In turn, this means that more data professionals need to learn PostgreSQL even when they have experience with other databases. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge.
- Printed book:
- Kindle book:
2026-02-13 (first published: 2025-02-06)
5,439 reads
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.
- Printed book:
- Kindle book:
2026-02-09 (first published: 2024-02-29)
5,926 reads
Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance.
- Printed book:
- Kindle book:
2026-02-06 (first published: 2024-09-18)
6,274 reads
