To start using a solution accelerator in Databricks simply follow these steps: Clone solution accelerator repository in Databricks using Databricks Repos; Attach the RUNME notebook to any cluster and ...

In some cases where custom code generation is needed, create a new code generation function in src/graph_pipelines.py and add a branch to the code generation logic in src/solacc.py. Use the test case ...

The Databricks Lakehouse Platform, coupled with Stardog’s Knowledge Graph-enabled semantic layer, provide organizations with a foundation for an enterprise data fabric architecture that makes it ...

Databricks’ move to release a large language model based on open source data can be attributed to enterprises’ demand for controlling the model and using it for targeted or specific use cases ...

By integrating with Databricks, customers can use the Altair RapidMiner knowledge graph engine to connect, contextualize, and activate all types of data—structured, unstructured, and streaming. These ...

Databricks users can now natively access Audience Acuity's referential identity graph via Delta Sharing to enrich first-party data, drive activation, and accelerate time-to-value. LAS VEGAS ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.