Collaboration for Cross-Team Insights and Knowledge Sharing
Flexible, yet Governed Provisioning to Any Data Source
Streamlined UI that Saves Time and Simplifies User Experience
Chris BlottoZaloni’s DataOps platform simplified our AWS data lake implementation and streamlined our data management and governance processes. The latest Arena release will give Investors Bank the ability to execute on customer and market demands, more efficiently and cost-effectively, by delivering data with speed and agility.
Arena’s updated, persona-driven UI offers a clean, streamlined user experience that’s intuitive and easy to use; increases user productivity; and improves user experience. The UI provides consistency across Arena’s components, making the platform easy to navigate for all IT and business users. Arena’s homepage features new dashboards for quick insights into the operational health of the data pipeline.
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Arena’s connection sharing allows users to easily share and pre-authorize data connections to a variety of data sources including AWS S3, ADLS, relational databases, and more. Once a connection is shared, users can immediately start performing actions such as data ingestion; data transformation; building an analytical model; or provisioning to a sandbox environment, based on their user permissions. This enables collaboration and knowledge-sharing across teams and projects.
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Easily provision data from any source to any target, quickly moving data – even without the need to ingest data into a data lake – saving time and reducing costs. Users can provision data in a self-service manner, removing the reliance on IT and accelerating the time to analytics.
Custom metadata attributes provide platform extensibility. By extending the metadata model, customers can enable new use cases without additional coding. Data stewards and administrators can define custom metadata attributes, including drop down menus, and apply data validation across all catalog entities to ensure metadata consistency, enrich the data catalog, and improve data searchability.
Easily assign zones and determine the path/location for output entities as part of the data quality process to improve pipeline efficiency and ensure zone governance compliance. Assigning zones within the data quality process saves manual steps for data stewards and reduces the time it takes to make data available for analysts. Entities that are created during the data quality process are categorized and located in zones that comply with your governance policies.
Augmented Catalog
End-to-end Governance
Intelligent Provisioning
Multi-cloud Data Management
Multi-Cloud Data Delivery
Cloud Partners
Unified Views
Customer Golden Records
Rich Marketplace
Endless Collaboration
Analytic Sandboxes
Data Shopping Cart
Detailed Lineage
Data Security
Evidence-based Reporting
Automated Data Discovery
Quality Checks
Data Preparation
Metadata Management