Analytics Services
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AWS Overview Links
Redshift is a scalable data warehouse solution.
Data warehousing solution
Improves speed and efficiency
Handles exabyte-scale data
Data consolidation: When you need to consolidate multiple data resources for reporting
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 is a query service for Amazon S3.
Query service
Analyze S3 data using SQL
Pay per query
Considered serverless
Gle prepares your data for analytics.
Extract, transform, load (ETL) service
Prepare and load data
Helps to better understand your data
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
EMR helps you process large amounts of data.
Process big data
Analyze data using Hadoop
Works with big data frameworks
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 helps you visualize your data.
Build interactive dashboards
Embed dashboards in your applications
Search data in S3: Athena helps you query historical data stored in S3 as if they were relational data using standard SQL.
Log analytics: Kinesis helps you analyze logs in near real-time for application monitoring or fraud detection.