> For the complete documentation index, see [llms.txt](https://karansingh.gitbook.io/aws-saa-c02/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://karansingh.gitbook.io/aws-saa-c02/databases-and-analytics/analytics.md).

# Analytics

## Amazon Athena

* Athena is an **serverless, interactive query service** that makes it easy to **analyse data in S3** using **standard SQL**.<br>
* With Athena, there’s **no need for complex extract, transform, and load (ETL) jobs to prepare your data for analysis**.<br>
* Athena is out-of-the-box **integrated with AWS Glue Data Catalog**, allowing you to create a unified metadata repository across various services.<br>
* You **can also use Glue’s fully-managed ETL capabilities** to transform data or convert it into columnar formats to optimize cost and improve performance.

## Amazon Elasticsearch Service

* Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch to **search, analyze, and visualize data in real-time**.<br>
* Use-cases such as **log analytics, full-text search, application monitoring, and clickstream analytics**, with enterprise-grade availability, scalability, and security.<br>
* Search for **partial matches** as well.

## Amazon Kinesis

* Kinesis makes it easy to **collect, process, and analyse real-time, streaming data** so you can get timely insights and react quickly to new information.<br>
* With Kinesis, you can ingest real-time data such as **video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications**.<br>
* Amazon Kinesis enables you to **process and analyse data as it arrives and respond instantly** instead of having to wait until all your data is collected before the processing can begin.<br>
* **Kinesis Data Firehose, Kinesis Data Analytics, Kinesis Data Streams, and Kinesis Video Streams**.

## Amazon Redshift

* Redshift is a **fast, scalable data warehouse** that makes it simple and cost-effective to **analyse** all your data across your **data warehouse and data lake**.<br>
* You can run queries across **petabytes of data in your Redshift data warehouse**, and **exabytes of data in your data lake built on S3**.

## AWS Glue

* Glue is a **fully managed extract, transform, and load (ETL)** service that **makes it easy for customers to prepare and load their data for analytics**.