Mastering Splunk

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

Hands-On Machine Learning with IBM Watson: Leverage IBM Watson to implement machine learning techniques and algorithms using Python

AI Engineering: Building Applications with Foundation Models

Big Data Visualization

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Business Process Management Design Guide: Using IBM Business Process Manager

Implementing Splunk: Edition 2

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Mastering Predictive Analytics with R: Edition 2

Generative AI in Action

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Improving Your Splunk Skills: Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

What Is Data Science?

Learn Microsoft Power Apps: The definitive handbook for building solutions with Power Apps to solve your business needs, Edition 2

Building Real-time Mobile Solutions with MQTT and IBM MessageSight