Overview
Data teams in organizations spend significant time in monitoring their data pipelines and resolving the failures on time by getting to its root causes. In this process, they need to refer multiple data sources from different systems that would involve data in both structured and unstructured formats. So, the challenge for the team members is to combine these data i.e., metadata tables and logs to identify the job status, reason for the failures and so on to monitor their data pipelines.
Hexaware’s Intelligent DataOps Assistant developed with AWS services helps you to resolve the problem more efficiently with the help of its Real-time AI bot that can read all the relevant data sources and respond to user queries on the data pipeline statuses in real-time. This solution uses state-of-the-art AWS Bedrock and Lambda services to generate accurate responses that can help the users to understand the real-time status and the root-causes of the job failures. This solution leads to estimated improvement of 69% in process efficiency and 3.7 times estimated return on investment from first year onwards.
Highlights
- Combination of Structured & Unstructured data processing: Our solution analyses both structured tables and unstructured logs from multiple sources to provide the optimal results within few seconds which would otherwise take 30-40 minutes for the users.
- Real-time monitoring: Our solution tracks data in real-time to make sure that the users get to see real-time status of data pipeline for immediate actions.
- AI-Powered framework: Leveraging advanced AI techniques, including agentic workflows and RAG, our solution provides best results which saves significant human efforts.