big data ibm

Modern Enterprise Business Intelligence and Data Management - by Alan Simon (Paperback)

Reality Loading - by Helen Papagiannis (Hardcover)

SQL QuickStart Guide - by Walter Shields

Comptia Cloud+ Study Guide - (Sybex Study Guide) 4th Edition by Ben Piper (Paperback)

Optimizing the Display and Interpretation of Data - (Computer Science Reviews and Trends) by Robert Warner (Paperback)

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Data-Driven Project Management with Python - (Management for Professionals) by Mario Vanhoucke (Hardcover)

Fabulous Adventures in Data Structures and Algorithms - by Eric Lippert (Paperback)

Data Labeling in Machine Learning with Python - by Vijaya Kumar Suda (Paperback)

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

Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)

Taming the Machine - by Nell Watson

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

Extending Power BI with Python and R - Second Edition - 2nd Edition by Luca Zavarella (Paperback)

R All-In-One for Dummies - by Joseph Schmuller (Paperback)

Hands-On Azure Digital Twins - by Alexander Meijers (Paperback)

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

Cracking the Data Engineering Interview - by Kedeisha Bryan & Taamir Ransome (Paperback)

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

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

How Large Language Models Can Help Your Search Project - by Alessandro Benedetti (Paperback)

Learn AI Data Engineering - by David Melillo (Paperback)

The Machine Learning Solutions Architect Handbook - Second Edition - by David Ping (Paperback)

Machine Learning on Kubernetes - by Faisal Masood & Ross Brigoli (Paperback)