fundamentals of data warehousing

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

Data Mesh - by Zhamak Dehghani (Paperback)

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

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

Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)

Aerospike: Up and Running - by V Srinivasan & Tim Faulkes & Albert Autin & Paige Roberts (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

The Modern Data Warehouse in Azure - by Matt How (Paperback)

Tidy Modeling with R - by Max Kuhn & Julia Silge (Paperback)

Modern Data Architecture on Azure - by Sagar Lad (Paperback)

Cleaning Data for Effective Data Science - by David Mertz (Paperback)

Data Analysis with Llms - (In Action) by Immanuel Trummer (Paperback)

Fundamentals of Residential Construction - 5th Edition by Edward Allen & Alexander C Schreyer & Rob Thallon (Hardcover)

Hands-On Differential Privacy - by Ethan Cowan & Michael Shoemate & Mayana Pereira (Paperback)

Building Data Integration Solutions - by Jay Borthen (Paperback)

Process Safety and Big Data - by Sagit Valeev & Natalya Kondratyeva (Paperback)

Predictive Intelligence in Biomedical and Health Informatics - (Intelligent Biomedical Data Analysis) (Hardcover)

Azure Fundamentals (Az-900) Study Guide - by Jack Lee (Paperback)

SQL Server Big Data Clusters - 2nd Edition by Benjamin Weissman & Enrico Van De Laar (Paperback)

Apache Hudi: The Definitive Guide - by Shiyan Xu & Prashant Wason & Bhavani Sudha Saktheeswaran & Rebecca Bilbro (Paperback)

R Packages - 2nd Edition by Hadley Wickham & Jennifer Bryan (Paperback)

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

Delta Lake: The Definitive Guide - by Denny Lee & Tristen Wentling & Scott Haines & Prashanth Babu (Paperback)