Projects & workflow organization
Organize related workflows inside projects so data processes remain structured as their number and complexity grow.
BIUWER DATAPREP
Build, automate and govern data workflows in one visual workspace
Organize workflows in projects and combine triggers, sources, transformations, validation, control logic and destinations in the sequence each process requires. Automate recurring execution, control access with RBAC and keep every run traceable.
Early access · Built for recurring data operations
DATAPREP CAPABILITIES
One visual workspace to organize, automate and govern data processes
Combine organization, flexible processing, quality and control to operate recurring data workflows.
Visual workflow builder
Compose triggers, sources, transformations, control logic and destinations on a shared visual canvas.
Triggers & automation
Start workflows manually, on a schedule, through webhooks or from application events, then automate recurring execution.
ETL/ELT & transformations
Map, merge, flatten, calculate, aggregate and reshape data in the sequence each process requires.
Reverse ETL & activation
Move prepared data back into CRMs, ERPs, SaaS applications and other operational systems.
Data quality & privacy
Validate data, apply quality rules, anonymize sensitive information and generate synthetic data when required.
RBAC & access control
Control access to Dataprep through roles and separate responsibilities across different types of users.
Traceability & monitoring
Review execution status, history and failures to understand what happened in every workflow run.
PROJECTS AND VISUAL WORKFLOWS
Build the workflow your data process actually needs
Organize related workflows inside projects and build each process on a shared visual canvas. Every workflow starts from a trigger, but what comes next is defined by the use case rather than by a predefined pipeline.
- Organize related workflows inside projects
- Arrange and connect nodes on a shared visual canvas
- Build ETL, ELT, write-back and multi-source workflows
- Branch, merge and organize processing according to the process
TRIGGERS AND AUTOMATION
Start workflows when the process requires it
Define how each workflow starts and automate recurring data operations without depending on repetitive manual execution.
- Launch workflows manually when needed
- Schedule recurring executions
- Start workflows through webhooks
- Use application-specific triggers where available
TRANSFORMATIONS AND ETL/ELT
Transform data in the order that makes sense for the workflow
Build traditional ETL flows, load data before transforming it, or combine processing patterns within the same workflow. Dataprep does not impose a fixed pipeline.
- Map and reshape fields
- Merge and combine multiple inputs
- Flatten, filter, aggregate and calculate
- Add code when visual transformations are not enough
DATA QUALITY AND PRIVACY
Make data valid and usable before the workflow moves on
Add quality and privacy operations directly to the workflow instead of leaving them hidden inside scripts or manual checks.
- Validate conditions and data quality rules
- Identify invalid or unexpected data
- Anonymize sensitive information
- Generate synthetic data when required
CONNECTIVITY AND REVERSE ETL
Move data between analytical and operational systems
Connect databases, files, APIs and applications as sources or destinations. Use Dataprep for ingestion and preparation workflows, or activate prepared data back into CRMs, ERPs and other operational applications.
- Combine heterogeneous sources within the same workflow
- Deliver processed data to databases, APIs and applications
- Sync prepared data back into operational systems
- Automate recurring data movement between systems
ROLE-BASED ACCESS CONTROL
Control access to data operations by role
Use role-based access control to define who can access and work with Dataprep according to their responsibilities.
- Control access through defined roles
- Separate responsibilities across different types of users
- Protect operational data workflows from unauthorized access
- Keep data operations inside a governed workspace
EXECUTION TRACEABILITY
Know what ran, what happened and what needs attention
Keep a shared record of workflow executions so recurring data operations do not disappear inside scripts, scheduled jobs or individual machines.
- Review workflow execution history
- See the status of every run
- Identify failures and the step that requires attention
- Keep recurring processes visible to the team
Do you have a recurring data process that is still manual or fragile?
Tell us about the systems involved, its logic, frequency and expected outcome. We'll assess whether it fits the Dataprep early access program.
