fundamentals of data warehousing

Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)

Practical Enterprise Data Lake Insights - by Saurabh Gupta & Venkata Giri (Paperback)

Data Science for Dummies - 4th Edition by Lillian Pierson (Paperback)

Embedded Linux Essentials Handbook - by Mohammed Billoo (Paperback)

Optimizing Cost for Microsoft Workloads on AWS - by Mangesh Budkule (Paperback)

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

Data Warehouse and Data Mining - by Jugnesh Kumar (Paperback)

"Decisions At Scale" Designing AI Products for Retail, Logistics, and Distribution Operations - by Mohit Panwar (Paperback)

Query: Getting Information from Data with the Wolfram Language - by Seth J Chandler (Paperback)

Alteryx Designer: The Definitive Guide - by Joshua Burkhow (Paperback)

Frictionless Data - by Zane Hall

Building Machine Learning Systems with a Feature Store - by Jim Dowling (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Modern Data Analytics in Excel - by George Mount (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

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

Azure Fundamentals (Az-900) Study Guide - by Jack Lee (Paperback)

Principles of Data Management - 3rd Edition by Keith Gordon (Paperback)

Python 3 and Data Analytics Pocket Primer - by Oswald Campesato (Paperback)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

Essentials of Big Data Analytics - by Pallavi Chavan & Kalyani Pampattiwar & Ramchandra Mangrulkar (Paperback)