https://wiki.alf.digital/ 2026-04-23T13:58:13+00:00 https://wiki.alf.digital/ https://wiki.alf.digital/lib/exe/fetch.php?media=wiki:dokuwiki.svg text/html 2023-11-01T07:13:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:athena&rev=1698822790&do=diff Athena Efficiently query the files in S3. Using SQL queries. Under the hood, Athena uses open source Presto as its compute engine. <https://prestodb.io/> <https://medium.com/ahana-cloud/using-aws-athena-check-out-these-alternatives-96f74744ce76> Example data set: Result text/html 2023-11-01T07:13:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:batch&rev=1698822790&do=diff AWS Batch Use Cases: AWS Batch: AWS Batch is a fully managed service for running batch computing workloads, such as data transformation, image processing, and scientific simulations. It is designed for applications that need to scale with demand and prioritize job scheduling and resource allocation. text/html 2023-11-01T07:13:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:emr&rev=1698822790&do=diff EMR Amazon Elastic MapReduce (EMR) Hadoop Spark Architektur Hadoop speichert und verarbeitet Daten auf externen Speichern. Spark speichert und verarbeitet Daten im internen Speicher. text/html 2023-11-01T07:13:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:glue&rev=1698822790&do=diff Glue AWS Glue and AWS EMR (Elastic MapReduce) are both powerful services offered by Amazon Web Services for big data processing and analytics, but they serve different purposes and have distinct advantages. Here's a comparison of the advantages of AWS Glue over AWS EMR: text/html 2023-11-01T07:13:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:kinesis&rev=1698822790&do=diff Kinesis Kinesis Streams Kinesis Firehose is a Amazon’s data-conduit product Kinesis Streams is capable of capturing large amounts of data (terabytes per hour) from data producers, and streaming it into custom applications for data processing and analysis. text/html 2023-12-12T17:38:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.alf.digital/doku.php?id=cloud:aws:big_data:redshift&rev=1702402710&do=diff RedShift Overview of Redshift features including console Summary of features at t=2414