aws data labs

AWS Cookbook - by John Culkin & Mike Zazon (Paperback)

The Launch of Rocket Lab - by Peter Griffin (Hardcover)

Financial Data Engineering - by Tamer Khraisha (Paperback)

Fundamentals of Data Visualization - by Claus O Wilke (Paperback)

Demystifying Graph Data Science - (Computing and Networks) by Pethuru Raj & Abhishek Kumar & Vicente García Díaz & Nachamai Muthuraman (Hardcover)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

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

Deciphering Data Architectures - by James Serra (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

Snowflake Data Engineering - by Maja Ferle (Paperback)

Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)

Data Security in Cloud Computing - by Vimal Kumar & Sivadon Chaisiri & Ryan Ko (Hardcover)

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

Handbook of Variational Methods for Nonlinear Geometric Data - by Philipp Grohs & Martin Holler & Andreas Weinmann (Hardcover)

Photo-Electroactive Non-Volatile Memories for Data Storage and Neuromorphic Computing - (Woodhead Publishing Electronic and Optical Materials)

Artificial Intelligence and Data Sciences for Precision Agriculture - (Hardcover)

Big Data: Concepts, Technology and Architecture - by Felicity Jackson (Hardcover)

Data Center Handbook - 2nd Edition by Hwaiyu Geng (Hardcover)

Artificial Intelligence in Data and Big Data Processing - (Lecture Notes on Data Engineering and Communications Technol) (Hardcover)

Data Centre Essentials - by Vincent Fogarty & Sophia Flucker (Hardcover)

Information-Statistical Data Mining - (The Springer International Engineering and Computer Science) by Bon K Sy & Arjun K Gupta (Hardcover)

Principles and Theory for Data Mining and Machine Learning - (Springer Statistics) by Bertrand Clarke & Ernest Fokoue & Hao Helen Zhang

Feature Selection for Knowledge Discovery and Data Mining - (The Springer International Engineering and Computer Science) (Hardcover)