architecting modern data platforms

Cracking the Data Engineering Interview - by Kedeisha Bryan & Taamir Ransome (Paperback)

Data Engineering with Databricks Cookbook - by Pulkit Chadha (Paperback)

Cracking the Data Science Interview - by Leondra R Gonzalez & Aaren Stubberfield (Paperback)

Platform 11 - (Harvard University Graduate School of Design Platform) by Esther Mira Bang & Lane Raffaldini Rubin & Enrique Aureng Silva (Paperback)

Algorithms and Data Structures for Massive Datasets - by Dzejla Medjedovic & Emin Tahirovic (Paperback)

Decision-Driven Analytics - by Bart de Langhe & Stefano Puntoni (Paperback)

The Architect's Sourcebook - by Stanislas Chaillou (Hardcover)

Data Engineering with AWS - by Gareth Eagar (Paperback)

Tuning the Snowflake Data Cloud - by Andrew Carruthers (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Principles of High-Performance Processor Design - by Junichiro Makino (Paperback)

Platform Engineering - by Camille Fournier & Ian Nowland (Paperback)

Pro Power Bi Architecture - 2nd Edition by Reza Rad (Paperback)

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

Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)

Intelligent Data Analytics for Solar Energy Prediction and Forecasting - by Amit Kumar Yadav & Hasmat Malik & Majed A Alotaibi (Paperback)

Behavioral AI - by Rogayeh Tabrizi (Hardcover)

Data-Driven Leadership - (Jossey-Bass Leadership Library in Education) by Amanda Datnow & Vicki Park (Paperback)

Computer Programming Languages & Hacking & Advanced Hacking - by Cyberpunk Architects (Paperback)

Effective Platform Engineering - by Ajay Chankramath & Sean Alvarez & Bryan Oliver & Nic Cheneweth (Paperback)

Generative AI for Leaders - by Amir Husain (Hardcover)