![]() ![]() You can also deploy the Amazon Redshift RSQL scripts onto the EC2 instance using AWS CodePipeline and AWS CodeDeploy. ![]() When using auto scaling groups, you can install RSQL onto the EC2 instance as a part of the bootstrap script. To ensure high availability and resilience, you can use multiple EC2 instances that are a part of an auto scaling group along with Amazon Elastic File System (Amazon EFS) to deploy and run the RSQL jobs. In addition to meeting functional requirements, this solution also provides full auditing, logging, and monitoring of all ETL and ELT processes that are run. You can also deploy the solution for greenfield implementations. This solution allows on-premises customers to migrate to a cloud-native orchestration framework that uses AWS serverless services such as Step Functions, Lambda, DynamoDB, and Systems Manager to run the Amazon Redshift RSQL jobs deployed on a persistent EC2 instance. Orchestrating data warehouse workloads includes scheduling the jobs, checking if the pre-conditions have been met, running the business logic embedded within RSQL, monitoring the status of the jobs, and alerting if there are any failures. To learn about new options for database scripting, refer to Accelerate your data warehouse migration to Amazon Redshift – Part 4.ĭuring such migrations, you may also want to modernize your current on-premises, third-party orchestration tools with a cloud-native framework to replicate and enhance your current orchestration capability. The converted scripts run on Amazon Redshift with little to no changes. You can now use the AWS Schema Conversion Tool (AWS SCT) to automatically convert proprietary scripts like BTEQ scripts to Amazon Redshift RSQL scripts. Solution overviewĬustomers migrating from legacy data warehouses to Amazon Redshift may have a significant investment in proprietary scripts like Basic Teradata Query (BTEQ) scripting for database automation, ETL, or other tasks. If you’re migrating from legacy data warehouse workloads to Amazon Redshift, you can use this methodology to orchestrate your data warehousing workloads. This post explains how you can create a generic configuration-driven orchestration framework using AWS Step Functions, Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda, Amazon DynamoDB, and AWS Systems Manager to orchestrate RSQL-based ETL workloads. Amazon Redshift RSQL is available for Linux, Windows, and macOS operating systems. You can wrap Amazon Redshift RSQL statements within a shell script to replicate existing functionality in the on-premise systems. ![]() You can use Amazon Redshift RSQL to replace existing extract, transform, load (ETL) and automation scripts, such as Teradata BTEQ scripts. You can connect to an Amazon Redshift cluster, describe database objects, query data, and view query results in various output formats. You can also integrate AWS services like Amazon EMR, Amazon Athena, Amazon SageMaker, AWS Glue, AWS Lake Formation, and Amazon Kinesis to take advantage of all of the analytic capabilities in the AWS Cloud.Īmazon Redshift RSQL is a native command-line client for interacting with Amazon Redshift clusters and databases. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. Tens of thousands of customers run business-critical workloads on Amazon Redshift, AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |