fundamentals of data warehousing

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Amazon Redshift: The Definitive Guide - by Rajesh Francis & Rajiv Gupta & Milind Oke (Paperback)

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

SQL Server Advanced Troubleshooting and Performance Tuning - by Dmitri Korotkevitch (Paperback)

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

Thinking with Data - by Max Shron (Paperback)

Building Real-Time Analytics Systems - by Mark Needham (Paperback)

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

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

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

Fundamentals of Enterprise Architecture - by Tanu McCabe (Paperback)

R for Data Science - 2nd Edition by Hadley Wickham & Mine Cetinkaya-Rundel & Garrett Grolemund (Paperback)

Software Engineering for Data Scientists - by Catherine Nelson (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)

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

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

Learning Github Copilot - by Brent Laster (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) - (Hardcover)

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