fundamentals of data warehousing

Causal Inference in Python - by Matheus Facure (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Fundamentals of Enterprise Architecture - by Tanu McCabe (Paperback)

Learning Automl - by Kerem Tomak (Paperback)

Data Contracts - by Chad Sanderson & Mark Freeman & B E Schmidt (Paperback)

Data Transformation: The Definitive Guide - by Andrew Madson & Toby Mao & Iaroslav Zeigerman (Paperback)

Creating a Data-Driven Organization - by Carl Anderson (Paperback)

Fundamentals of Deep Learning - 2nd Edition by Nithin Buduma & Nikhil Buduma & Joe Papa (Paperback)

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Apache Iceberg: The Definitive Guide - by Tomer Shiran & Jason Hughes & Alex Merced (Paperback)

Python and R for the Modern Data Scientist - by Rick J Scavetta & Boyan Angelov (Paperback)

MC Microsoft Certified Azure Fundamentals Study Guide - (Sybex Study Guide) 2nd Edition by Jim Boyce (Paperback)

Learning MySQL - 2nd Edition by Vinicius M Grippa & Sergey Kuzmichev (Paperback)

Data Science at the Command Line - 2nd Edition by Jeroen Janssens (Paperback)

Data Visualization with Python and JavaScript - 2nd Edition by Kyran Dale (Paperback)

Fundamentals of Microsoft Fabric - by Nikola ILIC & Ben Weissman (Paperback)

Communicating Data with Tableau - by Ben Jones (Paperback)

Cloud Native Data Security with Oauth - by Gary Archer & Judith Kahrer & Michal Trojanowski (Paperback)

Practical Data Privacy - by Katharine Jarmul (Paperback)

Hands-On Data Visualization - by Jack Dougherty & Ilya Ilyankou (Paperback)

How to Make Things Faster - by Cary Millsap (Paperback)

Analytical Skills for AI and Data Science - by Daniel Vaughan (Paperback)