fundamentals of data warehousing

XSLT 1.0 Pocket Reference - by Evan Lenz (Paperback)

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

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

Introduction to Apache Flink - by Ellen Friedman & Kostas Tzoumas (Paperback)

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

Modern Data Protection - by W Curtis Preston (Paperback)

Think Data Structures - by Allen B Downey (Paperback)

Visualizing Data - by Ben Fry (Paperback)

Python for Data Analysis - 3rd Edition by Wes McKinney (Paperback)

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

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

Efficient MySQL Performance - by Daniel Nichter (Paperback)

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

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

Building an Event-Driven Data Mesh - by Adam Bellemare (Paperback)

Delta Lake: Up and Running - by Bennie Haelen & Dan Davis (Paperback)

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)

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

Feedback Control for Computer Systems - by Philipp K Janert (Paperback)

SQL Server Big Data Clusters - 2nd Edition by Benjamin Weissman & Enrico Van De Laar (Paperback)