Data Fabric Studio (DFS)
- Software engineering Facilitation of the design, development, testing and deployment of software products.
- Augmented catalogs Use of AI/ML to automate the manual tasks involved in cataloging data, including metadata discovery, ingestion, categorization, curation and enrichment.
- Data orchestration Automated process for integrating, organizing, and unifying siloed data from multiple disparate storage locations for analysis.
- Data prep & delivery The process of cleaning, standardizing and enriching raw data to make it ready for delivery to data lakes, data warehouses, target apps, real-time decisioning engines, etc.
- Data governance Policies and procedures to ensure data is accurate, secure, private, available, and usable.
- Data & software observability Gaining insights into the behavior and performance of data environments, software applications and systems using various telemetry and log data.
Key features
1. Platform setup, standard infrastructure & templates.
- Onboard users from Active Directory
- Create and assign roles and teams for permissions and access
- Integrate your standard tech stack
- Set up agile project configurations
- Define development policies
2 & 3. Agile product management & release orchestration
- Create product portfolios with strategy, business value and priority
- Create products and features and link with your agile planning tool
- Manage product releases and dependencies centrally
- Seamlessly integrate with your data lake and integration technologies
4. Data integration
- Leverage out-of-the-box connectors or custom data crawlers
- Simplify data integration with ingestion catalogues
- Build streaming or bulk ingestion pipelines
- Seamlessly integrate with your data lake and integration technologies
5. Data transformation & quality assurance
- Accelerate pipeline development with self-managed templates
- Streamline data quality assurance with built-in best-practice quality features
- Utilize out-of-the-box transformation tools or apply custom SQL
6a. Advanced analytics (AI/ML)
- Accelerate advanced modeling with out-of-the-box ML templates
- Simplify testing with smart experimentation features leveraging your preferred ML technologies
- Reduce time-to-market through self-service deployment capabilities
6b. Data visualizations & applications
- Connect curated data assets to your preferred BI tools
- Develop and deploy custom data applications using the Integrated Developer Portal
- Make data easily accessible and consumable across the organization
7. Deployment, monitoring & maintenance
- Automate deployment into your underlying tech stack
- Automate data pipeline execution with custom scheduling and notification features
- Monitor pipelines in DataOps-focused dashboards
- Analyze complex data pipelines easily with the data lineage feature
8. Tech governance & FinOps
- Centralized access to executive dashboard and insights for governance
- Value stream and traceability maps provide insights into product release pipeline bottlenecks
- Monitor and access business and product requirements, source-code & security audit logs
- Track and manage cloud resource utilization costs
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Your benefits with Calibo
90% faster developer onboarding and environment provisioning
50% reduced time-to-market for new data assets and apps
Up to 80% time saving potential for data engineers and scientists
Improved data quality and consistency across your data fabric
Enhanced self-service developer experience, less fluctuation
Simplified data governance and compliance through out-of-the-box tools
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