Ingest data

The ARLAS CLI allows you to ingest data into ARLAS and make it accessible through ARLAS Dashboards.

Ingest Data in ARLAS

ARLAS Data structure

To be explored in ARLAS dashboards, the data has to be indexed in an Elasticsearch (ES) index.

An index contains the data and a model (mapping) to describe how fields have to be interpreted (types).

ARLAS collections are built on top of indices. They describe the basic data structure for its visualization and elements needed for the data access policy.

Data indices and collections in ARLAS

Ingest with ARLAS CLI

Once you have installed ARLAS CLI (see Installation Guide) and configured it with your ARLAS instance (see Configuration Guide), you can ingest data using the following commands:

• Create an Index with a Mapping: Use arlas_cli indices mapping to infer the data model from a data sample and create an empty index.

• Ingest Data into the Index: Use arlas_cli indices data to populate the created index with your data.

• Create a Collection: Use arlas_cli collections create to define a collection based on the index.

To get started with data ingestion using a tutorial sample, check out the ARLAS CLI Getting Started Guide.