endeca-to-opensearch-migration

Migrating Endeca Forge and CAS pipelines to OpenSearch requires translating data ingestion and transformation processes into OpenSearch ETL workflows. This involves aligning pipeline configurations, mapping schemas, and re-implementing data processing logic to ensure continuous indexing and data parity.

Mapping Endeca dimensions and properties to OpenSearch involves translating Endeca's Guided Navigation schema into OpenSearch indices and field mappings. This ensures that dimensional hierarchies and property attributes are preserved, enabling search and faceted filtering capabilities in the OpenSearch environment.

Yes, you can port Endeca Experience Manager (XMGR) rules and Page Builder logic to OpenSearch. This requires re-implementing merchandising rules, dynamic page assembly configurations, and guided navigation patterns to replicate the Endeca experience within the OpenSearch ecosystem.

Handling Endeca Thesaurus, Stopwords, and Multi-Select OR facets in OpenSearch requires mapping these search behaviors to OpenSearch analyzers, filters, and aggregations. This ensures query expansion, term exclusion, and multi-select faceted navigation patterns operate correctly post-migration.

An Endeca to OpenSearch migration dual-write strategy requires planning pipeline synchronization, schema alignment, and configuration porting across both environments. This approach ensures zero downtime, data consistency, and allows for phased validation of search results during the transition.

A direct schema mapping for Endeca to OpenSearch may not be suitable when complex Forge or CAS pipeline transformations cannot be easily replicated. In such cases, re-architecting the ETL process and re-evaluating multi-select navigation patterns is necessary to achieve optimal search performance.