architecting modern data platforms

Everybody Wins - by Matt Domo (Paperback)

Think Data Structures - by Allen B Downey (Paperback)

Data-Spheres of Planetary Urbanization - (Paperback)

AWS Certified Solutions Architect Study Guide with 900 Practice Test Questions - (Sybex Study Guide) 4th Edition by Ben Piper & David Clinton

Data Science Projects with Python - by Stephen Klosterman (Paperback)

Designing Applications for Google Cloud Platform - by Ashutosh Shashi (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Making Data Visual - by Danyel Fisher & Miriah Meyer (Paperback)

Master Data Governance Framework - by Peter Folmer Hansen (Paperback)

Data Networks - by Krzysztof Iniewski & Carl McCrosky & Daniel Minoli (Hardcover)

Understand, Manage, and Prevent Algorithmic Bias - by Tobias Baer (Paperback)

Level Up with Azure AI Foundry - by Sagar Lad (Paperback)

Engineering Data Mesh in Azure Cloud - by Aniruddha Deswandikar (Paperback)

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

The Datacenter as a Computer - (Synthesis Lectures on Computer Architecture) 3rd Edition (Paperback)

Architect's Essentials of Cost Management - (Architect's Essentials of Professional Practice) by Michael D Dell'isola (Paperback)

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Practical Apache Spark - by Subhashini Chellappan & Dharanitharan Ganesan (Paperback)

Practical Synthetic Data Generation - by Khaled El Emam & Lucy Mosquera & Richard Hoptroff (Paperback)

Human- Centric Integration of Next-Generation Data Science and Blockchain Technology - by Amit Kumar Tyagi & Shrikant Tiwari (Paperback)

Evolution of Innovation Management - by A Brem & E Viardot (Hardcover)