Optimize ADF Pipeline Throughput and Data Quality with Acceldata
Monitor data quality, enhance pipeline efficiency, ensure compliance, meet SLAs, and control ADF costs.
Problems addressed by this integration
- Struggle to monitor data quality and ensure SLAs across ADF pipelines.
- Face challenges with optimizing the operational efficiency of ADF workflows.
- Lack visibility and control over ADF costs and resource utilization.
- Encounter difficulties ensuring governance and compliance in data pipelines.
- Struggle to catch errors and bottlenecks in ADF pipelines and notify stakeholders in time, causing slowdowns or stoppages.
Overview
The Acceldata-ADF integration enables real-time monitoring, optimization, and control of ADF workflows, ensuring data reliability, operational efficiency, and cost savings.
With the Acceldata-ADF integration:
- Analysts and Data Scientists: Ensure data quality throughout ADF pipelines for accurate insights and faster analysis.
- Business Users: Gain confidence in reliable data delivery and reduced operational disruptions.
- AI/ML Teams: Access consistent, high-quality data to improve model training and deployment.
- Data Engineers: Enhance operational efficiency by identifying and resolving pipeline bottlenecks.
- Governance and Compliance Teams: Ensure SLAs and regulatory compliance with robust monitoring and alerts.
- FinOps Teams: Gain detailed visibility into ADF costs to optimize resource usage and reduce unnecessary expenses.
Use Cases
Gain real-time insights into execution times, resource utilization, and costs to streamline and optimize workflows.
Track data quality and maintain upstream and downstream visibility and lineage in ADF pipelines to meet SLAs and regulatory standards, ensuring reliable data delivery.
Proactively address bottlenecks, reduce error rates, minimize downtime, and improve the overall reliability of ADF workflows.
Gain visibility and control over costs across factories, pipelines, and activities, optimizing resource utilization and reducing TCO.
Features
- Monitor ADF pipelines for execution times, data volume, and resource utilization.
- Perform data quality checks across pipeline stages, ensuring compliance and SLA adherence.
- Visualize ADF costs with detailed dashboards for effective cost control and optimization.
- Detect anomalies and bottlenecks with timely issue detection, enabling root cause analysis, quick remediation, and improved pipeline efficiency.
- Maintain upstream and downstream visibility with seamless integration into several Azure services, such as Data Lake, Blob Storage, and Synapse Analytics, and others for end-to-end monitoring.
Specification Requirements
Related assets and information
Harness Data Value of Azure using Acceldata
Acceldata Data Observability Cloud v2.9.0
Acceldata Documentation
Acceldata integrations
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