Eland
Eland is a Python library developed by Elastic that allows users to interface with Elasticsearch seamlessly for data manipulation and analysis. The library is built on top of the official Elasticsearch Python client and extends the pandas API to Elasticsearch. This enables users to interact with Elasticsearch data using familiar pandas-like syntax and conventions, making it easier to integrate Elasticsearch with existing data analysis workflows and tools.
Eland is particularly useful for handling large datasets that cannot fit in memory and require distributed processing. Elasticsearch can scale horizontally by distributing data across multiple nodes in a cluster. This allows the user to efficiently work with far larger datasets than what would be possible on a laptop. Let’s look at some features of Eland:
- One key use case for Eland is querying data stored in Elasticsearch. Instead of writing raw Elasticsearch queries, users can write Python code that resembles...
