Perspectives

Workflow automation monitoring with Deloitte and Databricks

Automate workflows and monitor your analytics pipeline

As data engineering patterns have shifted, an organization’s data monitoring approach must clearly depict the status of the enterprise’s entire analytics pipeline. Deloitte’s Automated Workflow Monitoring solution helps achieve this goal by combining the Databricks Data Intelligence Platform’s leading data automation tools with Deloitte’s deep technical acumen and experience helping clients configure efficient data monitoring.

Better data. Bigger impacts.

Built on Databricks’ SDK and SQL dashboards, Deloitte’s Automated Workflow Monitoring solution creates a job to track all data engineering pipeline statuses in a Databricks Workspace. The solution is designed to automate workflows and large parts of the operations and maintenance of the Databricks Data Intelligence Platform, while helping clients:

  • Accelerate time to resolution for data quality issues
  • Quickly disseminate critical information to support teams
  • Reduce maintenance overhead and operational tasks

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The Automated Workflow Monitoring Dashboard provides platform administrators with a single view into the health of all the data engineering-related tasks running in their Databricks Workspace.

— Deloitte’s Automated Workflow Monitoring: Enhanced Lakehouse Monitoring with single-window Databricks dashboards

Key features of Deloitte’s Automated Workflow Monitoring

In addition to integrating with established business intelligence tools to provide an extensible platform to build configurations that meet your enterprise’s unique data monitoring needs, Deloitte’s Automated Workflow Monitoring also provides:

  • Customized email alerting for near real-time insights
  • A centralized dashboard for data engineering pipelines
  • Seamless integration with existing design patterns

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