The Path to Predictive Analytics and Machine Learning – Free O'REILLY Book - ODBMS.org

Recognizing cross-industry interest in massive data ingest and analytics, we teamed up with O'Reilly Media on a new book: The Path to Predictive Analytics and Machine Learning. In this book, we share the latest step in the real-time analytics journey: predictive analytics, and a playbook for building applications that take advantage of machine learning. Chapter 1: Building Real-Time Data Pipelines We begin with a review our previous O'Reilly book: Building Real-Time Data Pipelines – Unifying Applications and Analytics with In-Memory Architectures. It covers the emergence of in-memory architectures and provides a framework for building real-time pipelines that serve as the foundation for machine learning applications. Chapter 2: Processing Transactions and Analytics in a Single Database This chapter details the shift from Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) to converged, multi-model systems designed for Hybrid Transaction/Analytical Processing (HTAP). Chapter 3: Dawn of the Real-Time Dashboard Data visualization is arguably the most powerful method for enabling humans to understand and spot patterns in a dataset.