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by Gary Orenstein, Kevin White, Steven Camina, Conor Doherty
The Path to Predictive Analytics and Machine Learning
Introduction
An Anthropological Perspective
1. Building Real-Time Data Pipelines
Modern Technologies for Going Real-Time
High-Throughput Messaging Systems
Data Transformation
Persistent Datastore
Moving from Data Silos to Real-Time Data Pipelines
The Enterprise Architecture Gap
Real-Time Pipelines and Converged Processing
2. Processing Transactions and Analytics in a Single Database
Hybrid Data Processing Requirements
Benefits of a Hybrid Data System
New Sources of Revenue
Reducing Administrative and Development Overhead
Data Persistence and Availability
Data Durability
Data Availability
Data Backup
3. Dawn of the Real-Time Dashboard
Choosing a BI Dashboard
Real-Time Dashboard Examples
Tableau
Zoomdata
Looker
Building Custom Real-Time Dashboards
Database Requirements for Real-Time Dashboards
4. Redeploying Batch Models in Real Time
Batch Approaches to Machine Learning
Moving to Real Time: A Race Against Time
Manufacturing Example
Original Batch Approach
Real-Time Approach
Technical Integration and Real-Time Scoring
Immediate Benefits from Batch to Real-Time Learning
5. Applied Introduction to Machine Learning
Supervised Learning
Regression
Classification
Unsupervised Learning
Cluster Analysis
Anomaly Detection
6. Real-Time Machine Learning Applications
Real-Time Applications of Supervised Learning
Real-Time Scoring
Fast Training and Retraining
Unsupervised Learning
Real-Time Anomaly Detection
Real-Time Clustering
7. Preparing Data Pipelines for Predictive Analytics and Machine Learning
Real-Time Feature Extraction
Minimizing Data Movement
Dimensionality Reduction
8. Predictive Analytics in Use
Renewable Energy and Industrial IoT
PowerStream: A Showcase Application of Predictive Analytics for Renewable Energy and IIoT
PowerStream Software Architecture
PowerStream Hardware Configuration
PowerStream Application Introduction
PowerStream Details
Advantages of Spark Coupled with a Distributed, Relational, Memory-Optimized Database
SQL Pushdown Details
PowerStream at the Command Line
9. Techniques for Predictive Analytics in Production
Real-Time Event Processing
Structuring Semi-Structured Data
Real-Time Data Transformations
Feature Scaling
Real-Time Decision Making
10. From Machine Learning to Artificial Intelligence
Statistics at the Start
The “Sample Data” Explosion
An Iterative Machine Process
Digging into Deep Learning
Resource Management for Deep Learning
Talent Evolution and Language Resurgence
The Move to Artificial Intelligence
The Intelligent Chatbot
Broader Artificial Intelligence Functions
The Long Road Ahead
A. Appendix
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