AWS Big Data Blog

Category: HAQM Q

Introducing HAQM Q Developer in HAQM OpenSearch Service

today we introduced HAQM Q Developer support in OpenSearch Service. With this AI-assisted analysis, both new and experienced users can navigate complex operational data without training, analyze issues, and gain insights in a fraction of the time. In this post, we share how to get started using HAQM Q Developer in OpenSearch Service and explore some of its key capabilities.

HAQM Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools

HAQM Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We were positioned in the Challengers Quadrant in 2023. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.

HAQM Q data integration adds DataFrame support and in-prompt context-aware job creation

HAQM Q data integration, introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. This post introduces exciting new capabilities for HAQM Q data integration that work together to make ETL development more efficient and intuitive. We’ve added support for DataFrame-based code generation that works across any Spark environment. We’ve also introduced in-prompt context-aware development that applies details from your conversations, working seamlessly with a new iterative development experience.

Introducing HAQM Q data integration in AWS Glue

Today, we’re excited to announce general availability of HAQM Q data integration in AWS Glue. HAQM Q data integration, a new generative AI-powered capability of HAQM Q Developer, enables you to build data integration pipelines using natural language. This reduces the time and effort you need to learn, build, and run data integration jobs using […]