Mastering Splunk

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

AI Engineering: Building Applications with Foundation Models

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

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Big Data Visualization

Generative AI in Action

Business Process Management Design Guide: Using IBM Business Process Manager

Implementing Splunk: Edition 2

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

Mastering Predictive Analytics with R: Edition 2

Microsoft Power Platform Enterprise Architecture: Design tailor-made solutions for architects and decision makers to meet complex business requirements, Edition 2

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

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

Slack: Getting Past Burnout, Busywork, and the Myth of Total Efficiency

Fundamentals of Business Process Management: Edition 2

The Goal: A Process of Ongoing Improvement by Eliyahu M. Goldratt and Jeff Cox | Key Takeaways, Analysis & Review