Enhance Autosys pipeline visibility and control with Acceldata
Enhance pipeline efficiency, monitor data quality, ensure compliance and meet SLAs.
Problems addressed by this integration
- Struggle to monitor AutoSys jobs and workflows across complex environments.
- Face challenges with identifying and resolving job failures and delays quickly.
- Lack comprehensive visibility into job dependencies and execution performance.
- Struggle to optimize job schedules and ensure data pipeline reliability.
- Struggle to ensure optimal data quality in AutoSys-managed pipelines, impacting downstream analytics and decision-making.
Overview
The Acceldata-AutoSys integration empowers organizations to monitor, manage, and analyze AutoSys job schedules directly within the Acceldata Data Observability Cloud (ADOC). This seamless integration enhances visibility, control, and efficiency across data pipelines as well as optimal quality of data.
With the Acceldata-AutoSys integration:
- Analysts and Data Scientists can ensure reliable, high-quality data availability by tracking job statuses in real time and addressing data quality issues quickly, ensuring smooth downstream analytics.
- Business Users build confidence in timely and accurate data delivery through custom alerts for failures or delays, ensuring smooth pipeline flows with no stoppages or slowdowns.
- AI/ML Teams can reduce delays in model training and deployment by using pipeline visualization to identify and resolve issues in complex workflows while ensuring consistent, high-quality data.
- Data Engineers can proactively manage job execution and ensure pipelines remain smooth-flowing by leveraging real-time monitoring, custom alerts, and actionable insights to resolve issues instantly and maintain operational excellence.
Use Cases
Gain real-time visibility into AutoSys job statuses, dependencies, and execution times, ensuring comprehensive monitoring and optimal pipeline performance from Acceldata.
Detect job failures, delays, as well as data quality issues and anomalies with timely alerts and resolve with indepth root-cause analysis and actionable insights.
Maintain high data integrity with automated quality checks, anomaly detection, data drift and schema drift monitoring, and automated data reconciliation throughout the pipelines.
Visualize and analyze AutoSys workflows, including nested and conditional jobs, to streamline execution, eliminate bottlenecks, and optimize job schedules effortlessly.
Features
- Monitor real-time job statuses, dependencies, and execution performance within ADOC for comprehensive pipeline visibility.
- Visualize nested workflows and AutoSys job hierarchies for easier analysis and workflow optimization.
- Set up custom alerts for job failures, delays, or other critical events to proactively manage pipelines.
- Perform data quality checks across pipeline stages, ensuring compliance with SLAs and maintaining optimal data reliability.
- Detect anomalies and bottlenecks with timely issue detection, enabling root cause analysis and quick remediation.
- Conduct data reconciliation and monitor for data and schema drift across pipelines to maintain consistent data quality.
- Maintain upstream and downstream visibility, traceability, and control to ensure smooth pipeline operations.
- Access detailed reports and insights in a single platform to optimize pipeline performance, reliability, and resource utilization.
Specification Requirements
Related assets and information
Acceldata Documentation - Autosys
Acceldata integrations
Partner with Acceldata
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