Data loading from Amazon S3 using the COPY command

Data warehouses are typically designed to ingest and store huge volumes of data, and one of the key aspects of any analytical process is to ingest such huge volumes in the most efficient way. Loading such huge data can take a long time as well as consume a lot of compute resources. As pointed out earlier, there are several ways to load data in your Redshift Serverless data warehouse, and one of the fastest and most scalable methods is the COPY command.

The COPY command loads your data in parallel from files, taking advantage of Redshift’s massively parallel processing (MPP) architecture. It can load data from Amazon S3, Amazon EMR, Amazon DynamoDB, or text files on remote hosts (SSH). It is the most efficient way to load a table in your Redshift data warehouse. With proper IAM policies, you can securely control who can access and load data in your database.

In the earlier section, we saw how Query Editor v2 generates the...