fundamentals of data warehousing

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

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

Practical Data Privacy - by Katharine Jarmul (Paperback)

Fundamentals of Microsoft Fabric - by Nikola ILIC & Ben Weissman (Paperback)

Data Management at Scale - 2nd Edition by Piethein Strengholt (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

Colorwise - by Kate Strachnyi (Paperback)

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

Python for Geospatial Data Analysis - by Bonny P McClain (Paperback)

Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

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

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

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

Building Recommendation Systems in Python and Jax - by Bryan Bischof Ph D & Hector Yee (Paperback)

Practical Tableau - by Ryan Sleeper (Paperback)

Unifying Business, Data, and Code - by Ron Itelman & Juan Cruz Viotti (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Apache Polaris: The Definitive Guide - by Alex Merced & Andrew Madson & Tomer Shiran (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)