Elasticsearch Essentials > PACKT 원서리스트

1: Getting Started with Elasticsearch
Introducing Elasticsearch
Installing and configuring Elasticsearch
Basic operations with Elasticsearch
Summary

2: Understanding Document Analysis and Creating Mappings
Text search
Document analysis
Elasticsearch mapping
Summary

3: Putting Elasticsearch into Action
CRUD operations using elasticsearch-py
CRUD operations using Java
Creating a search database
Elasticsearch Query-DSL
Understanding Query-DSL parameters
Search requests using Python
Search requests using Java
Sorting your data
Document routing
Summary

4: Aggregations for Analytics
Introducing the aggregation framework
Metric aggregations
Bucket aggregations
Combining search, buckets, and metrics
Memory pressure and implications
Summary

5: Data Looks Better on Maps: Master Geo-Spatiality
Introducing geo-spatial data
Working with geo-point data
Geo-aggregations
Geo-shapes
Summary

6: Document Relationships in NoSQL World
Relational data in the document-oriented NoSQL world
Working with nested objects
Parent-child relationships
Considerations for using document relationships
Summary

7: Different Methods of Search and Bulk Operations
Introducing search types in Elasticsearch
Cheaper bulk operations
Multi get and multi search APIs
Data pagination
Practical considerations for bulk processing
Summary

8: Controlling Relevancy
Introducing relevant searches
The Elasticsearch out-of-the-box tools
Controlling relevancy with custom scoring
Summary

9: Cluster Scaling in Production Deployments
Node types in Elasticsearch
Introducing Zen-Discovery
Node upgrades without downtime
Upgrading Elasticsearch version
Best Elasticsearch practices in production
Creating a cluster
Scaling your clusters
Summary

10: Backups and Security
Introducing backup and restore mechanisms
Securing Elasticsearch
Summary

Appendix A: Index