Discover Data across organization
Auto-detect formats, anomalies, structure
Schedule, monitor, and scale ingestion
Plug into CRM, ERP, databases & more
Auto-enrich, tag, and unify data assets
Align technical data with business meaning
Trace data across pipelines to dashboards
Classify assets based on types & groups
Build, configure, and run complex data pipelines, no heavy coding required. DatazenX Workflows turn repetitive tasks into automated, reusable processes.
The DatazenX Workflow module empowers Data Engineers and Analysts to design, configure, and manage pipelines through a simple drag-and-drop interface. Connect multiple sources, apply transformations, and generate outputs with consistency, all while ensuring pipelines are stored, scheduled, and executed reliably.
Work smarter with automation. The Workflow module eliminates repetitive coding and ensures efficiency across your data lifecycle.
Drag, drop, and configure pipelines with zero manual scripting.
Save pipelines as Python files and schedule jobs for repeatability.
Connect data from databases, Hive, DataViews, and other sources.
Apply transformations at any scale with built-in processes and functions.
From automated query generation to flexible joins and filters, DatazenX Data Views simplify complex data exploration, so teams can turn raw tables into actionable insights in minutes.
Design pipelines visually, selecting tables, columns, and operations without writing code.
From filtering and pivoting to joins, aggregations, and string operations, Workflows give you every transformation you need, out-of-the-box.
Pipelines are converted into workflow jobs which run at set intervals and refresh the data automatically.
Ingest raw data directly from connectors, or create refined Data Products at the end of your workflows.