fundamentals of data warehousing

Data Science Fundamentals with R, Python, and Open Data - by Marco Cremonini (Hardcover)

Observability Engineering - by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

Software Engineering for Data Scientists - by Catherine Nelson (Paperback)

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

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

Mastering Shiny - by Hadley Wickham (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)

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

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

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

Hands-On Large Language Models - by Jay Alammar & Maarten Grootendorst (Paperback)

AWS Certified Data Engineer Associate Study Guide - by Sakti Mishra & Dylan Qu & Anusha Challa (Paperback)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

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

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

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

SQL for Data Analysis - by Cathy Tanimura (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

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

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

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

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

Fundamentals of Data Visualization - by Claus O Wilke (Paperback)