Explore the versatile capabilities of Elasticsearch and the Elastic stack beyond its renowned full-text search and analytics functions in this comprehensive conference talk. Delve into advanced applications including recommendations, reactive monitoring, ad-hoc forensic analysis, and anomaly detection through machine learning. Learn how to leverage graph databases, the Graph API, and percolate queries to uncover new insights from your data. Discover various types of anomalies and how to detect them using Elasticsearch's powerful features. Gain a deeper understanding of the Elastic Stack's components and their potential to transform your data exploration and analysis processes.
Overview
Syllabus
Intro
The Elastic Stack
Co-occurrence
Graphing Relationships
Frequency distributions
How Graph Databases typically work
How Elasticsearch Graph API works
Graph Recap
Percolate use cases
Anomaly detection
Types of anomalies
Taught by
NDC Conferences