Implementing a Data Warehouse on AWS

Опубликовано 7 ноября 2019, 4:51

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Data warehouses (DWs) are central repositories of integrated data from one or more disparate sources, used for reporting, data analysis, and business intelligence. In this session, dive deep into concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.

Additionally, we will review patterns in hybrid environments for collecting, storing, and preparing data for DWs using Amazon DynamoDB, AWS Database Migration Service (AWS DMS), Amazon Kinesis Data Firehose, and Amazon Simple Storage Service (Amazon S3). Learn how our customers have successfully migrated from on-premises DW to Amazon Redshift to achieve their goals by implementing parallel query execution, key performance adjustments, and more.

Speaker: Dennis Magsajo, Solutions Architect, Worldwide Public Sector, AWS