fundamentals of data warehousing

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Flow Chemistry - Fundamentals - 2nd Edition by Ferenc Darvas & György Dormán & Volker Hessel & Steven V Ley (Paperback)

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)

Fundamentals of Data Observability - by Andy Petrella (Paperback)

A Mathematical Introduction to Data Science with Python - by Yi Sun & Rod Adams (Paperback)

Perspectives on Data Science for Software Engineering - by Tim Menzies & Laurie Williams & Thomas Zimmermann (Paperback)

Data Engineering for Machine Learning Pipelines - by Pavan Kumar Narayanan (Paperback)

The Data Warehouse ETL Toolkit - by Ralph Kimball & Joe Caserta (Paperback)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Intelligent Digital Oil and Gas Fields - by Gustavo Carvajal & Marko Maucec & Stan Cullick (Paperback)

Introduction to Ground Penetrating Radar - by Raffaele Persico (Hardcover)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

Ai-Ready Data Blueprints - by Navnit Shukla & Kien Pham & Srikanth Sopirala & Harsha Tadiparthi (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Cockroachdb: The Definitive Guide - 2nd Edition by Guy Harrison & Jesse Seldess & Ben Darnell & Rob Reid (Paperback)

Data Science Programming All-In-One for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

Principles of Geographical Information Systems - by Melissa Walker (Hardcover)

Introduction to Foundation Models - by Pin-Yu Chen & Sijia Liu (Hardcover)

Data Science in Chemistry - (De Gruyter Textbook) 2nd Edition by Thorsten Gressling (Paperback)

Mastering Apache Pulsar - by Jowanza Joseph (Paperback)

Cost-Effective Data Pipelines - by Sev Leonard (Paperback)