Add ingest data page

docs/docs/ingest_data.md

@@ -0,0 +1,40 @@
+# Ingest data
+
+`ARLAS CLI` can be used to ingest data in ARLAS and make it explorable in ARLAS Dashboards.
+
+![Ingest Data](images/ingest_data.png)
+<p align="center" style="font-style: italic;">
+Ingest Data in ARLAS Dashboards
+</p>
+
+## ARLAS Data structure
+
+To be explored in ARLAS dashboards, the data has to be indexed in an [Elasticsearch](concepts.md#elasticsearch) (ES) [index](concepts.md#es-index).
+
+An index contains the data and a model ([mapping](concepts.md#es-mapping)) to describe how fields have to be interpreted (types).
+
+ARLAS [collections](concepts.md#arlas-collection) 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](images/index_collection_schema.png)
+<p align="center" style="font-style: italic;">
+Data indices and collections in ARLAS
+</p>
+
+## Ingest with ARLAS CLI
+
+Once you have installed ARLAS CLI (see [Installation Guide](install.md)) and configured it with your ARLAS instance (see [Configuration Guide](configuration.md)), you can ingest data using the following commands:
+
+- **Create an Index with a Mapping**: 
+- Use [arlas_cli indices mapping](indices.md#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](indices.md#data) to populate the created index with your data.
+
+- **Create a Collection**:
+Use [arlas_cli collections create](collections.md#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](started.md#tutorial).
+
+

docs/mkdocs.yml

@@ -28,6 +28,7 @@ nav:
 - Getting started: started.md
 - Installation: install.md
 - Configuration: configuration.md
+- Ingest Data: ingest_data.md
 - Commands:
   - Getting help: help.md
   - confs: confs.md