Mod 1: Information representation
Mod 2: Elasticsearch (ES) basics
- Introduction, REST vs SOAP, Physical organization, Horizontal scaling, Logical organization, Installing and starting ES, JSON format, Indexing documents, Retrieving documents, Deleting documents, Bulk indexing
Mod 3: Elasticsearch advanced
- Accessing from Python (handlers), Searching documents, Query DSL, Aggregation, Indexing Tweets, Running analytical queries on Tweets, Mappings (definition, retrieval, templates), Field datatypes, Nested fields, Tokenizer, Normalizer, Analyzer
Mod 4: Other tools in the stack
- Kibana (Discover, Visualization, Dashboard)
- Projects using Elasticsearch
8 horas sincrónicas + 4 de apoyo
Entrega y aprobación de 2 trabajos prácticos.