why data analytics

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

Ai-Ready Data Blueprints - by Navnit Shukla & Kien Pham & Srikanth Sopirala & Harsha Tadiparthi (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

Financial Data Analysis Using Python - by Dmytro Zherlitsyn (Paperback)

Data Structures and Algorithms with the C++ STL - by John Farrier (Paperback)

An Introduction to Creating Standardized Clinical Trial Data with SAS - by Todd Case & Yuting Tian (Paperback)

Unifying Business, Data, and Code - by Ron Itelman & Juan Cruz Viotti (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Python Data Science Handbook - 2nd Edition by Jake Vanderplas (Paperback)

Executing Data Quality Projects - 2nd Edition by Danette McGilvray (Paperback)

Data Engineering with Python - by Paul Crickard (Paperback)

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

Azure Data Fundamentals - by Michael John Pena (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

Data-Oriented Programming in Java - by Chris Kiehl (Paperback)

Analytics Engineering with Microsoft Fabric and Power Bi - by Shabnam Watson & Nikola ILIC (Paperback)

Learn AI Data Engineering - by David Melillo (Paperback)

Designing Financial Data Architectures - by Tamer Khraisha (Paperback)