Analytics Services

AWS Overview Links

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.

Last updated

Was this helpful?