# Guidance components
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 The Clickstream Analytics on AWS guidance has four components: a web console, Analytics Studio, SDKs, and the data pipeline. 

## Web console
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 This guidance provides a simple web console which allows you to create and manage projects with their data pipeline to ingest, process, analyze and visualize the Clickstream data. 

## Analytics Studio
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 Analytics Studio is a unified web interface for business analysts or data analysts to view and create dashboards, query and explore clickstream data, and manage metadata. It supports the following features:
+ provide a pre-canned user lifecycle dashboard
+ provide an explorative analytics model to query and analyze clickstream data
+ support creating custom analysis and visualization in a drag-and-drop manner
+ auto-generate metadata for clickstream data, and support metadata management

## SDKs
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 This guidance provides native SDKs to help you easily collect and report in-app events from your applications to your Clickstream pipelines. 
+  [Android SDK](android-sdk.md#introduction) 
+  [Swift SDK](swift-sdk.md#introduction-1) 
+  [Web SDK](web-sdk.md#introduction-2) 
+  [Flutter SDK](flutter-sdk.md#introduction-3) 

## Data pipeline
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 This guidance uses the web console to manage the project and its data pipeline. The data pipeline consists of four modules. 

### Ingestion module
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 The ingestion module serves as web server for ingesting the Clickstream data. It supports the following features: 
+  Specify the auto scaling group capability 
+  Specify warm pool size to scale out faster and save costs 
+  Support authenticate with OIDC 
+  Support SSL 
+  Support enabling AWS Global Accelerator for ELB 
+  Support different sink buffer, S3, KDS and MSK 

### Data processing module
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 The data processing module transforms and enriches the ingested data to guidance's data model by the Apache Spark application running in EMR serverless. It supports the following features: 
+  Specify the batch interval of data processing 
+  Specify the data refreshness age 
+  Provider out-of-the-box enrichment plug-ins 
  +  UA enrichment to parse OS, device, browser information from User Agent string of the HTTP request header 
  +  IP enrichment to mapping device location information (for example, city, country, region) based on the request source IP 
+  Support third-party transformer plug-ins 
+  Support third-party enrichment plug-ins 

### Data modeling module
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 The data modeling module loads the processed data into lake house. It supports the following features: 
+  Support both provisioned Redshift and Redshift Serverless as data warehouse 
  +  Users can specify the time range for storing data in Redshift 
  +  Users can specify the interval to update user dimension table 
+  Support use Athena to query the data in data lake 

### Reporting module
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 The reporting module creates a secure connection to the data warehouse and provisions the out-of-the-box dashboards in business intelligence Amazon QuickSight.