fundamentals of data warehousing

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

Scaling Machine Learning with Spark - by Adi Polak (Paperback)

Scaling Python with Dask - by Holden Karau & Mika Kimmins (Paperback)

Network Security Through Data Analysis - 2nd Edition by Michael Collins (Paperback)

Fundamentals of Data Observability - by Andy Petrella (Paperback)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide - by Steve Miles (Paperback)

Data Visualization with Microsoft Power Bi - by Alex Kolokolov & Maxim Zelensky (Paperback)

Advanced Analytics with Pyspark - by Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills (Paperback)

Data Pipelines Pocket Reference - by James Densmore (Paperback)

Real-Time Intelligence with Microsoft Fabric - by Brattã S Johan Ludvig & Frank Geisler (Paperback)

Mastering Financial Pattern Recognition - by Sofien Kaabar (Paperback)

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Creating a Data-Driven Organization - by Carl Anderson (Paperback)

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Data Science for Business - by Foster Provost & Tom Fawcett (Paperback)

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

Fundamentals of Devops and Software Delivery - by Yevgeniy Brikman (Paperback)

Duckdb: Up and Running - by Wei-Meng Lee (Paperback)

The Data Warehouse Toolkit - 3rd Edition by Ralph Kimball & Margy Ross (Paperback)

Python and R for the Modern Data Scientist - by Rick J Scavetta & Boyan Angelov (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

Cloud Native Data Center Networking - by Dinesh G Dutt (Paperback)

Communicating Data with Tableau - by Ben Jones (Paperback)