Solution overviewĪmazon Redshift RSQL enables you to connect to your Amazon Redshift cluster via a command line. This post explains how to use Amazon Redshift RSQL for ETL, data cleansing and preparation, enhanced control flow, and exception and error handling. Moreover, if you’re migrating from self-managed data warehousing engines such as Teradata to Amazon Redshift and using Teradata BTEQ (Basic Teradata Query) scripting for data automation, ETL or other tasks can now migrate to Amazon Redshift RSQL. Now you can use Amazon Redshift RSQL, a new command line tool to connect to an Amazon Redshift cluster and perform operations such as describe database objects, query data, view and export query results in various output file formats, run scripts that include both SQL and complex business logic, perform data cleansing and transformation operations using familiar SQL, and write ETL and ELT scripts using enhanced control flow and advanced error handling. Previously, you had to use the PostgreSQL psql command line tool to interact with Amazon Redshift for simple use cases such as importing and exporting data to and from Amazon Redshift or submitting SQL in batch or interactive mode, or for advanced use cases such as performing ETL operations without writing complex ETL jobs. You can also interact with Amazon Redshift in interactive or batch mode via Amazon Redshift RSQL. You can programmatically access data in your Amazon Redshift cluster by using the Amazon Redshift Data API, or you can use a web-based interface such as Amazon Redshift Query Editor V2 to author SQL queries. There are many ways to interact with Amazon Redshift. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.
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