fundamentals of data warehousing

D3 for the Impatient - by Philipp K Janert (Paperback)

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

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

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

Tableau Certified Data Analyst Study Guide - by Christopher Gardner (Paperback)

Streaming Systems - by Tyler Akidau & Slava Chernyak & Reuven Lax (Paperback)

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

Learning Github Copilot - by Brent Laster (Paperback)

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

Scaling Graph Learning for the Enterprise - by Ahmed Menshawy & Sameh Mohamed & Maraim Rizk Masoud (Paperback)

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)

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

Implementing Data Mesh - by Jean-Georges Perrin & Eric Broda (Paperback)

Practical Data Privacy - by Katharine Jarmul (Paperback)

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

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

Practical Tableau - by Ryan Sleeper (Paperback)

Fundamentals of Metadata Management - by Ole Olesen-Bagneux (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)