fundamentals of data warehousing

High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

Practical Tableau - by Ryan Sleeper (Paperback)

Essentials of Business Analytics - (International Operations Research & Management Science) by Bhimasankaram Pochiraju & Sridhar Seshadri

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Data Simplification - by Jules J Berman (Paperback)

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

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Football Analytics with Python & R - by Eric A Eager & Richard a Erickson (Paperback)

Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)

Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)

Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

Top 20 Essential Skills for ArcGIS Business Analyst - by Helen Thompson & Gemma Goodale-Sussen (Paperback)

A Chemometrics Guide for Chromatographers - (Data Handling in Science and Technology) by Gabriel Vivo-Truyols (Hardcover)

Azure Data Fundamentals Certification Companion - (Certification Study Companion) by Naveen Kumar M (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

The Developer's Playbook for Large Language Model Security - by Steve Wilson (Paperback)

Designing Large Language Model Applications - by Suhas Pai (Paperback)

Deep Learning for Finance - by Sofien Kaabar (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

R Packages - 2nd Edition by Hadley Wickham & Jennifer Bryan (Paperback)

Python Essentials - by Lester W Schmerr Jr (Hardcover)