What does a Databricks consulting partner do?
+
We plan, build, and run Databricks lakehouse platforms: workspace and Unity Catalog setup, migrations, batch and streaming pipelines, machine learning workflows, and ongoing cost and performance tuning. Darkstar is a Databricks partner.
Can you migrate us from Hadoop or an on-premises warehouse to Databricks?
+
Yes. We assess your current platform, plan the migration, convert data to Delta Lake, re-platform jobs and pipelines, and validate results with parallel runs before cutover.
How do you reduce Databricks costs?
+
We audit DBU usage, right-size clusters and autoscaling, move scheduled work to job clusters, use Photon and serverless where they pay off, and tune slow jobs, with monitoring and alerts to keep spend in check.
Can you help with machine learning and AI on Databricks?
+
Yes. AI and machine learning are core to Darkstar. We build feature pipelines, track and deploy models with MLflow, and connect Databricks to LLM and AI applications.
Should we choose Databricks or Snowflake?
+
It depends on your workloads and team. Databricks often fits heavy data engineering, streaming, and machine learning; Snowflake is often the simpler fit for SQL analytics and BI. We are partners with both, so we can recommend the right one, or a combination, without a platform bias.
Do you offer Databricks consulting in Virginia?
+
Yes. Darkstar is based in Harrisonburg, Virginia, and works with organizations across Virginia, in person when it helps, as well as remotely with clients throughout the United States.
Who will work on our Databricks project?
+
Senior engineers from the Darkstar team. There are no hand-offs to a sales team or a bench of juniors: your first call is with someone who will be on your project.