Enable predictive analytics, create real-time data pipelines, and analyze large datasets at scale with Databricks on Skypoint AIP.
Developed on the Apache Spark open source data processing engine, Databricks combines the benefits of data lakes and data warehouses in an open data management architecture, called a data lakehouse.
This architecture provides data and AI analysts, engineers, and scientists with a set of tools and services that help them process, transform, and visualize very large datasets, at scale.
Combined with the capabilities and industry context knowledge of Skypoint’s AI Platform, organizations can leverage Databricks’ machine learning and AI modeling capabilities to enable advanced business intelligence and predictive analytics.
Simplify handling of all your data, analytics, and AI use cases with the best of data warehouses and data lakes in one simple platform.
AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications.
We set up automated data pipelines and layer in data cleansing for trusted, reliable data.
Unified and open governance for data and AI.
We couple Databricks with Dbt to harness the power of limitless scale and automation for data transformations.
We build structured data hubs for sharing information inside or outside your organization using Delta share and Lakehouse federation.
Agent AI systems give organizations the ability to parcel out different functions and control each of these functions separately.
The Skypoint AI platform powered by Databricks integrates with your current tools for ETL, data ingestion, business intelligence, AI and governance.
