fundamentals of data warehousing

Communicating Data with Tableau - by Ben Jones (Paperback)

The Chief Data Officer Management Handbook - by Martin Treder (Paperback)

Data Parallel C++ - 2nd Edition by James Reinders & Ben Ashbaugh & James Brodman & Michael Kinsner & John Pennycook & Xinmin Tian (Paperback)

Kubernetes Fundamentals - by Himanshu Agrawal (Paperback)

Hands-On Data Visualization - by Jack Dougherty & Ilya Ilyankou (Paperback)

Data Engineering for Machine Learning Pipelines - by Pavan Kumar Narayanan (Paperback)

Building a Data Culture - by Gary W Griffin & David Holcomb (Paperback)

Essential Data Analytics, Data Science, and AI - by Maxine Attobrah (Paperback)

Fundamentals of Project Management - 5th Edition by Joseph Heagney (Paperback)

Thinking with Data - by Max Shron (Paperback)

Streaming Databases - by Hubert Dulay & Ralph Matthias Debusmann (Paperback)

Python Data Cleaning Cookbook - Second Edition - 2nd Edition by Michael Walker (Paperback)

Data Governance Handbook - by Wendy S Batchelder (Paperback)

Hands-On Salesforce Data Cloud - by Joyce Kay Avila (Paperback)

Applied Data Science Using Pyspark - 2nd Edition by Ramcharan Kakarla & Sundar Krishnan & Balaji Dhamodharan & Venkata Gunnu (Paperback)

Data Lake Analytics on Microsoft Azure - by Harsh Chawla & Pankaj Khattar (Paperback)

Small Data - by Martin Lindstrom (Paperback)

Warehousing 101 - Large Print by Lee Rector (Paperback)

Data Protection and Information Privacy - (Global and Comparative Data Law) by Veronika Thir & Daniela Wawra (Hardcover)

Data Excellence - by Roberto M Maranca

Smoothing of Multivariate Data - (Wiley Probability and Statistics) by Jussi Sakari Klemelä (Hardcover)

Empowering Iot with Big Data Analytics - (Intelligent Data-Centric Systems) by Mohamed Adel Serhani & Yang Xu & Zakaria Maamar (Paperback)

Quantum Computing for Healthcare Data - (Advances in Biomedical Informatics) by Gayathri Nagasubramanian & S Rakesh Kumar & Valentina Emilia Balas

Learning from Good and Bad Data - (The Springer International Engineering and Computer Science) by Philip D Laird (Hardcover)