The Elasticsearch Extractor allows users to specify custom request bodies, define index names, and use date placeholders for dynamic data retrieval. It supports incremental and full data loads, providing flexibility in data management. Users can configure SSH settings and choose from multiple authentication methods for secure data access.
The Elasticsearch Extractor in Keboola enables users to download data directly from Elasticsearch indexes. Utilizing the Search API, it supports custom JSON request bodies, SSH tunneling, and various authentication methods, making it a versatile tool for accessing and managing large datasets with ease and precision.
Elasticsearch is a powerful search engine built on the Lucene library, offering distributed, multitenant-capable full-text search capabilities. With its HTTP web interface and schema-free JSON documents, Elasticsearch seamlessly integrates with Keboola, allowing users to efficiently download data from indexes without complex setups, enhancing data accessibility and usability.
An e-commerce company can use the Elasticsearch Extractor to pull search query data from their Elasticsearch indexes. By analyzing this data in Keboola, they can identify popular search terms, optimize product listings, and improve user experience, ultimately driving more sales and customer satisfaction.
Combine Elasticsearch data with Google Analytics in Keboola to gain insights into customer behavior. By analyzing search patterns and website traffic, businesses can tailor marketing campaigns to target high-interest areas, improving engagement and conversion rates.
Integrate Elasticsearch data with Snowflake to enhance financial reporting. By consolidating search data with financial metrics, companies can gain a comprehensive view of performance, enabling more informed decision-making and strategic planning.
Elasticsearch Extractor simplifies data retrieval, empowering businesses to make data-driven decisions.