AWS Lake Formation VS Amazon Athena

AWS Lake Formation is a service that allows you to collect data from different databases and object storage, save it to S3 data lake and clean it and classify it with ML algorithms. It builds on the capabilities of AWS Glue and its data is then usable directly through services like Redshift , Athena and EMR. - Source: dev.to / over 1 year ago

AWS lake formation, it can expose endpoints that you can use in your applications. I haven't tried it yet myself https://aws.amazon.com/lake-formation/. Source: over 1 year ago

Excellent place to start is here: https://aws.amazon.com/lake-formation/. Source: almost 3 years ago

If I understand things correctly, the modern way to to read-time masking in the AWS ecosystem is to introduce AWS Lake Formation ( https://aws.amazon.com/lake-formation/ ) as the abstraction layer between Athena and S3. - Source: Hacker News / about 3 years ago

Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / 5 months ago

If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / 6 months ago

Probably S3 Select or Athena? https://aws.amazon.com/athena/ Both can query S3 directly. Source: about 1 year ago

You can use athena to query data out of parquet files in S3. Source: about 1 year ago

Amazon Athena (analytics) Amazon Athena is an interactive query service that you can use to analyze data in Amazon S3 using ANSI SQL. Athena is serverless, so there's no infrastructure to manage. Athena scales automatically and is simple to use, so you can start analyzing your datasets within seconds. Https://aws.amazon.com/athena/. - Source: dev.to / over 1 year ago