Virtual Tables
From longstanding large-scale enterprise customers to those just getting started in an AIP Bootcamp, Virtual Tables enables users to begin building AIP-powered workflows in minutes.
It connects data assets within your enterprise’s data lakes, data lakehouses, and data platforms — without any costly or messy data duplication.
AIP Virtual Tables offers several major advantages:
A fast track for getting started with the Ontology and AIP
Virtual Tables lets you use external systems as the backing sources of truth for data elements in the Ontology and throughout AIP.
This allows enterprises to register new data sources without having to create redundant copies of the associated data or pipelining logic.
Maintain architectural flexibility
Virtual Tables lets teams choose when to leverage data in-place that resides within data platforms, and when to use Palantir’s data layer.
Each data solution offers different advantages, and teams can change the underlying data flows over time, without impacting workflows in AIP.
Improved performance and cost-efficiency
Rules can generate alerts in-platform as well as integrate with third-party software (e.g., incident response software) to surface alerts in text messages and other methods of communication, ensuring they reach decision-makers throughout your business.
Preserving Architectural Optionality
Integrate with external third-party solvers using Foundry APIs or build custom recommendation engines for dynamic plans in the long term and to identify incremental opportunities in real-time.
AIP Virtual Tables helps you preserve this optionality in several ways:
Eliminates duplication
Gain immediate access to your data stored in Google BigQuery, Snowflake, AWS S3, or Azure Blob Storage.
Auto-registration of existing assets
For certain sources, Virtual Tables can be configured to periodically check for new tables and automatically create corresponding virtual tables for easy discoverability.
Works seamlessly with traditional data syncs
If desirable, virtual tables can be subsequently replaced with traditional data syncs. The two approaches can also be used alongside one another to complement one another.
Leverage existing BuilderChain platform capabilities
Use Virtual Tables across the full range of existing functionality:
Create pipelines in Pipeline Builder without duplicating data inputs, analyze data with pushdown performance boosts in Contour, and power Object Types with zero-copy pointers in the Ontology — with more capabilities arriving soon.
Experience AIP Virtual Tables at Your Next BuilderChain Bootcamp
For organizations with existing data architectures, AIP Virtual Tables offers the fastest path to getting AI use cases into production — while preserving architectural optionality. For additional details, we encourage you to read our technical documentation here. And to experience the difference of AIP and AIP Virtual Tables first hand, reach out to your BuilderChain rep to reserve your Bootcamp slot.