Hi there, here you can find interesting books which I can recommend for your reading
“Atlas of Cyberspace” (Martin Dodge, Rob Kitchin)Attempts to visualise our Internet in different patterns. The old book with description about Internet / In[out]coming hyperlinks / Traffic / Events Topology
“Understanding Search Engines. Mathematical Modeling and Text Retrieval.” (Michael W. Berry, Murray Browne)A good introduction how search engines are working from mathematical point of view.
“DAMA-DMBOK. Data Management Body of Knowledge” (Deborah Henderson, Susan Earley, Laura Sebastian-Coleman)Any Data Architect and CDO must have this book under the hand
“Data Architecture: A primer for the Data Scientist” (W.H.Inmon, Daniel Linstedt)How to build DWH from scratch using right declarations and definitions of data layers
“Building a Data Warehouse” (Vincent Rainardi)More details about how to build DWH from scratch using right declarations and definitions of data layers
“Data Mesh.Delivering Data-Driven Value at Scale” (Zhamak Dehghani)Modern data architecture needs more comfortable Data Driven approach. All about it
“Data Model Scorecard” (Steve Hoberman)Approach to define the Data Model based on a scorecard template and an explanation along with many examples of each of the ten Scorecard categories
“Clean Architecture” (Robert C. Martin)The right book and guide to make a stable architecture… just know a Database is another Input/Output device…
“Turning TEXT into GOLD. Taxonomies and Textual Analytics” (Bill Inmon)How to make a structured from Unstructured (Text / Audio / Video) data and take a Data Value? This book is a Roadmap how we can proceed with Data Mining and NLP algorithms.
“The Unified Star Schema” (Bill Inmon, Francesco Puppini)New pattern how to use a Star Schema with involved Stage table to prevent anomalies with data modelling (Fan Traps, Chasm Traps and Loops).