#Copy table redshift how to#

The auto-copy feature in Amazon Redshift simplifies automatic data loading from Amazon S3 with a simple SQL command. Overview of the auto-copy feature in Amazon Redshift

#Copy table redshift how to#

In addition, we show you how to enable auto-copy using copy jobs, how to monitor jobs, considerations, and best practices. This post shows you how to easily build continuous file ingestion pipelines in Amazon Redshift using auto-copy when source files are located on Amazon S3 using a simple SQL command. This also ensures end-users have the latest data available in Amazon Redshift shortly after the source data is available.

COPY statements are triggered and start loading data when Amazon Redshift auto-copy detects new files in the specified Amazon S3 paths. Now SQL users can easily automate data ingestion from Amazon S3 to Amazon Redshift with a simple SQL command using the Amazon Redshift auto-copy preview feature.

A COPY command is the most efficient way to load a table because it uses the Amazon Redshift massively parallel processing (MPP) architecture to read and load data in parallel from a file or multiple files in an S3 bucket. This can be done by using one of many AWS cloud-based ETL tools like AWS Glue, Amazon EMR, or AWS Step Functions, or you can simply load data from Amazon Simple Storage Service (Amazon S3) to Amazon Redshift using the COPY command. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, delivering the best price-performance.ĭata ingestion is the process of getting data from the source system to Amazon Redshift. Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL and your existing business intelligence (BI) tools.