Transcription of A cloud services cheat sheet for AWS, Azure, and Google Cloud
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A cloud services cheat sheet for AWS, Azure, and Google Cloud
DECEMBER 2020A Cloud services cheat sheet for AWS, Azure, and Google CloudEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEC loud/DevOps Handbook HOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 2 EDITOR'S NOTEA Cloud services cheat sheet for AWS, Azure and Google Cloud TREVOR JONES, SITE EDITORAWS, MICROSOFT AND Google each offer well over 100 Cloud services . It's hard enough keeping tabs on what one Cloud offers, so good luck trying to get a handle on the products from the three major trying to compare what's available in each Cloud can quickly get convoluted, since naming conventions vary by vendor and service.
Data warehousing Amazon Redshift Azure Synapse Analytics BigQuery ETL AWS Glue, Amazon Kinesis Data Firehose, Amazon SageMaker Data Wrangler Azure Data Factory Cloud Data Fusion, Dataflow, Dataproc Hosted Hadoop/Spark Amazon EMR Azure HDInsight Dataproc Managed search Amazon CloudSearch, Amazon Elasticsearch Service, Amazon Kendra
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