fundamentals of data warehousing

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

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

Fundamentals of Software Engineering - by Nathaniel Schutta & Dan Vega (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

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

Cockroachdb: The Definitive Guide - 2nd Edition by Guy Harrison & Jesse Seldess & Ben Darnell & Rob Reid (Paperback)

Designing Financial Data Architectures - by Tamer Khraisha (Paperback)

Azure AI Fundamentals (Ai-900) Study Guide - by Tom Taulli (Paperback)

Building Data Integration Solutions - by Jay Borthen (Paperback)

Data, Ai, and Noise - by Derek W Gibson (Paperback)

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

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

Financial Data Engineering - by Tamer Khraisha (Paperback)

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

Data Science - (MIT Press Essential Knowledge) by John D Kelleher & Brendan Tierney (Paperback)

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

Rag-Ready Patterns for Data Platforms - by Ravi Vedula & Gerardo Bodegas Martinez & Maruti Chittajallu & Jack Pullikottil (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

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