> For the complete documentation index, see [llms.txt](https://docs.linuxmaster.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.linuxmaster.cloud/aws/aws-certified-cloud-practitioner/analytics-services.md).

# Analytics Services

{% hint style="success" %}
**AWS Overview Links**

* [Redshift](https://aws.amazon.com/redshift/)
* [Athena](https://aws.amazon.com/athena/)
* [Glue](https://aws.amazon.com/glue/)
* [Kinesis](https://aws.amazon.com/kinesis/)
* [EMR](https://aws.amazon.com/emr/)
* [Data Pipeline](https://aws.amazon.com/datapipeline/)
* [QuickSight](https://aws.amazon.com/quicksight/)
  {% endhint %}

## Amazon Redshift

Redshift is a scalable data warehouse solution.

* Data warehousing solution
* Improves speed and efficiency
* Handles exabyte-scale data

### Redshift in the real world

1. **Data consolidation:** When you need to consolidate multiple data resources for reporting
2. **Relational databases:** When you want to run a database that doesn’t require real-time transaction processing (insert, update, and delete)

Analytics is the act of querying or processing your data.

There are several services that allow you to gain deeper insights, enhance decision-making, and act in real-time to what your data is telling you.

## Athena

Athena is a query service for Amazon S3.

* Query service
* Analyze S3 data using SQL
* Pay per query
* Considered serverless

## Glue

Gle prepares your data for analytics.

* Extract, transform, load (ETL) service
* Prepare and load data
* Helps to better understand your data

## Kinesis

Kinesis allows you to analyze data and video streams in real-time.

* Analyze real-time, streaming data
* Supports video, audio, application logs, website clickstreams, and IoT

## Elastic MapReduce (EMR)

EMR helps you process large amounts of data.

* Process big data
* Analyze data using Hadoop
* Works with big data frameworks

## Data Pipeline

Data Pipeline helps you move data between compute and storage services running either on AWS or on-premises

* Moves data at specific intervals
* Moves data based on conditions
* Sends notifications on success or failure

## QuickSight

QuickSight helps you visualize your data.

* Build interactive dashboards
* Embed dashboards in your applications

### Analytics in the real world

1. **Search data in S3:** Athena helps you query historical data stored in S3 as if they were relational data using standard SQL.
2. **Log analytics:** Kinesis helps you analyze logs in near real-time for application monitoring or fraud detection.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.linuxmaster.cloud/aws/aws-certified-cloud-practitioner/analytics-services.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
