On-premises data warehouses require significant administration time and resources, particularly for large datasets. The financial cost of building, maintaining, and growing these warehouses is also very high. To help manage costs, keep extract, transform, and load (ETL) complexity low, and deliver performance as your data grows, you must constantly choose which data to load and which data to archive.
By migrating your on-premises ThoughtSpot Falcon databases to the Amazon Web Services (AWS) Cloud, you can access cloud-based data lakes and data warehouses that increase your business agility, security, and application reliability, in addition to reducing your overall infrastructure costs. Amazon Redshift helps to significantly lower the cost and operational overhead of a data warehouse. You can also use Amazon Redshift Spectrum to analyze large amounts of data in its native format without data loading.
This pattern describes the steps and process for migrating a ThoughtSpot Falcon database from an on-premises data center to an Amazon Redshift database on the AWS Cloud.
