Paperback Books

Practical Data Privacy - by Katharine Jarmul (Paperback)

In-Memory Analytics with Apache Arrow - Second Edition - 2nd Edition by Matthew Topol (Paperback)

Thinking with Data - by Max Shron (Paperback)

The Definitive Guide to Power Query (M) - by Gregory Deckler & Rick de Groot & Melissa de Korte (Paperback)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

The Enterprise Data Catalog - by Ole Olesen-Bagneux (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

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

Graph Databases - 2nd Edition by Ian Robinson & Jim Webber & Emil Eifrem (Paperback)

Database Design and Modeling with PostgreSQL and MySQL - by Alkin Tezuysal & Ibrar Ahmed (Paperback)

Databricks ML in Action - by Stephanie Rivera & Anastasia Prokaieva & Amanda Baker (Paperback)

Learn T-SQL Querying - Second Edition - 2nd Edition by Pedro Lopes & Pam Lahoud (Paperback)

Real-Time Intelligence with Microsoft Fabric - by Johan Ludvig Brattås & Frank Geisler (Paperback)

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

Unlocking Data with Generative AI and RAG - by Keith Bourne (Paperback)

Neo4j: The Definitive Guide - by Luanne Misquitta & Christophe Willemsen (Paperback)

Python Feature Engineering Cookbook - Third Edition - 3rd Edition by Soledad Galli (Paperback)

The Data Model Resource Book - by Len Silverston & Paul Agnew (Paperback)

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

Fundamentals of Data Observability - by Andy Petrella (Paperback)

The Statistics and Machine Learning with R Workshop - by Liu Peng (Paperback)

Data Engineering for Beginners - (Tech Today) by Chisom Nwokwu (Paperback)

SQL and Relational Theory - 3rd Edition by Chris J Date (Paperback)

Supercharge Power Bi - 3rd Edition by Matt Allington (Paperback)