2/11/2024 0 Comments Redshift commands linux![]() ![]() Quickly move large numbers of records using multi-threaded data extraction and load processes.The extractors are designed with two key features to support the full load process: The SCT extractors are designed to facilitate the full load process. This being the case, any intervening changes are usually captured in a subsequent change data capture stage. We call this stage the “full load.” The full load can take a considerable amount of time depending on how much data there is to move. In the first stage, a full copy of the legacy data is replicated to the target system. Typically, there are two stages to migrating a data warehouse. This feature, called the SCT data extractors, can migrate your data from any legacy platform (Oracle, Greenplum, Netezza, Teradata, Microsoft SQL Server, or Vertica), using a parallel, secure and fault-tolerant architecture. SCT has been enhanced also to migrate the actual data records. AWS provides the Schema Conversion Tool free of charge to help you migrate your legacy data warehouse to the cloud.Ĭustomers usually use SCT to migrate their schema objects (table definitions, indexes, triggers, and other execution logic) from legacy data warehouse platforms. Migrating your data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) data extractors to migrate your existing data warehouse to Amazon Redshift.
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