reference data architecture

Data Communications and Network Technologies - by Huawei Technologies Co Ltd (Paperback)

Redefining Data Engineering with AI - by Ashok Singamaneni & Sarath Chandra Bandaru & Phani Vemuri & Aditya Chaturvedi (Paperback)

Data Science for Iot Engineers - by P G Madhavan (Paperback)

Query: Getting Information from Data with the Wolfram Language - by Seth J Chandler (Paperback)

The Decision Maker's Handbook to Data Science - 3rd Edition by Stylianos Kampakis (Paperback)

Data and Applications Security and Privacy XXIV - by Sara Foresti & Sushil Jajodia (Paperback)

Big Data Recommender Systems - (Computing and Networks) by Osman Khalid & Samee U Khan & Albert Y Zomaya (Hardcover)

Hands-On Healthcare Data - by Andrew Nguyen (Paperback)

Python 3 Data Visualization Using Google Gemini - (MLI Generative AI) by Oswald Campesato (Paperback)

Effective Data Analysis - by Mona Khalil (Paperback)

Software Architecture - by Ivica Crnkovic & Volker Gruhn & Matthias Book (Paperback)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Microsoft Power BI For Dummies - by Jack A Hyman (Paperback)

Mathletics - by Wayne L Winston & Scott Nestler & Konstantinos Pelechrinis (Paperback)

The AI Pocketbook - by Emmanuel Maggiori (Paperback)

Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

Hands-On Large Language Models - by Jay Alammar & Maarten Grootendorst (Paperback)

Hands-On Machine Learning with Scikit-Learn and Pytorch - by Aurélien Géron (Paperback)

Learning SQL - 3rd Edition,Annotated by Alan Beaulieu (Paperback)

The Art of Statistics - by David Spiegelhalter (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Deep Learning with Pytorch - by Eli Stevens & Luca Antiga & Thomas Viehmann (Paperback)

The Engineering Book - (DK Big Ideas) by DK (Hardcover)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)