Amazon Q data integration in AWS Glue enables you to build data integration pipelines using natural language. Describe your intent through a chat interface, Amazon Q data integration in AWS Glue will generate a complete job. You can test the job and put it into production with a single click. When errors occur, you can troubleshoot them, without having to dive deep into documentation, blogs, and reference materials. Amazon Q data integration in AWS Glue provides you instant SME guidance throughout your data integration journey. You do not need to be an Apache Spark or SQL expert, or wait for an expert to answer your questions.
Build data integration jobs faster
Integrating data across multiple sources can take days or even months. Amazon Q for Data Integration allows you to build data integration jobs with minimal data integration knowledge or coding experience. It abstracts manual tasks so you can spend less time on mundane work, more time on analyzing data.
Tell Amazon Q for Data Integration what you need in English, it will return a complete job for you. For example, you can ask Amazon Q for Data Integration to “read JSON files from S3, join on ‘accountid’, and load into DynamoDB” and in response, it will return an end-to-end data integration job that can perform that action. You can review the generated job, test it against sample datasets, and move it to production.
Reduce the complexity of troubleshooting issues
Building data integration jobs is just the beginning. Once a job is authored, orchestrated, and deployed into a production system, you must maintain it, troubleshoot failures, and fix errors. The errors could be related to connection, environment, syntax, validation, or execution. They can occur when you create, test, publish or run your integration jobs.
Troubleshooting them often requires perusing through log files and logging into monitoring dashboards. Amazon Q data integration in AWS Glue makes error-fixing a breeze. Through a chat interface, you can troubleshoot issues by asking Amazon Q for Data Integration to explain errors and failures, and to propose solutions. You no longer need to dive deep into documentation, blogs, reference materials, guides, or consult SMEs.
Get instant data integration SME help
Amazon Q data integration in AWS Glue provides SME-level guidance throughout the entire data integration lifecycle. Amazon Q data integration in AWS Glue is trained, and fine-tuned with domain knowledge base of AWS Glue. It provides accurate and reliable responses to anything data integration related.
Instead of waiting for SMEs within your organization or hiring a consultant, you can reach out to Amazon Q data integration in AWS Glue anytime through AWS Glue console, AWS Glue Studio or through API. Amazon Q data integration in AWS Glue is optimized for use with other AWS services. You can easily create data integration jobs that extract, transform and load data from Amazon DynamoDB, Amazon DocumentDB, Amazon Managed Streaming for Apache Kafka, Amazon Kinesis, Amazon Redshift, and Amazon S3.
How to get started
Want to learn more?
Follow along the step-by-step tutorial to start integrating data with natural language.
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