fundamentals of data warehousing

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

Data Science Fundamentals for Python and MongoDB - by David Paper (Paperback)

XSLT 1.0 Pocket Reference - by Evan Lenz (Paperback)

AI Basics for Managers - (AI Fundamentals) by Andrew Hinton (Paperback)

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)

Modern Data Protection - by W Curtis Preston (Paperback)

Fundamentals of HR Analytics - by Fermin Diez & Mark Bussin & Venessa Lee (Paperback)

Streaming Architecture - by Ted Dunning & Ellen Friedman (Paperback)

Foundations of Data Intensive Applications - by Supun Kamburugamuve (Paperback)

The Data Management Workbook - (Research Skills) by Kristin Briney (Paperback)

Designing Data-Intensive Applications - 2nd Edition by Martin Kleppmann & Chris Riccomini (Paperback)

Think Data Structures - by Allen B Downey (Paperback)

Visualizing Data - by Ben Fry (Paperback)

HBR Guide to Project Management (HBR Guide Series) - by Harvard Business Review

HBR Guide to Data Analytics Basics for Managers - by Harvard Business Review

Python for Data Science for Dummies - 3rd Edition by John Paul Mueller & Luca Massaron (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

The Digital Supply Chain Challenge - by Ralf W Seifert & Richard Markoff (Paperback)

The Fundamentals and Applications of Light-Emitting Diodes - (Woodhead Publishing Electronic and Optical Materials) (Paperback)

Efficient MySQL Performance - by Daniel Nichter (Paperback)

Generative Engine Optimization: Sichtbar in Ki-Systemen - (Essentials) by Benjamin O'Daniel & Fabian Jaeckert (Paperback)