We design and optimize lakehouse architectures for the demanding parts: Unity Catalog governance at scale, declarative pipelines, and Mosaic AI for model serving and production agents.
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We support the entire Databricks lifecycle, from ingestion and transformation through Unity Catalog, ML workflows and GenAI, with production-oriented delivery.
Every engagement is shaped around business priorities: faster analytics delivery, stronger governance, lower platform cost, and better AI readiness.
Budgets, budget policies, serverless sizing and Photon tuning keep the lakehouse efficient as data volumes and workloads grow.
From ingestion and transformation through Unity Catalog, ML workflows and GenAI, production-oriented from the first sprint.
One governance plane across data and AI, migrated cleanly from legacy Hive metastores.
Declarative, observable pipelines with quality enforced as data flows, not after.
Models and agents served on governed data, with retrieval, evaluation and monitoring built in.
Keep the lakehouse fast and cost-efficient as adoption scales across teams.
Hands-on, expert guidance tailored to your needs. Our free one-day workshops help your team overcome real-world challenges, streamline data processes and get more from your Databricks investment.
Select the session that aligns with your goals.
Schedule your free one-day workshop with our engineers.
Walk away with actionable insights and a customized plan.
One day, free. For data governance teams, IT leaders and architects. You leave with a migration readiness plan for Unity Catalog.
One day, free. For cloud cost managers, IT finance teams and data engineers. You leave with a framework for aligning cloud costs with business objectives.
One day, free. For data engineers, architects and DevOps teams. You leave with a plan for automated batch and streaming pipelines.
One day, free. For data governance teams, IT leaders and architects. You leave with a view of your migration readiness.
One day, free. For data governance teams, IT leaders, security architects and data engineers. You leave with a framework for aligning cloud security with business objectives.
One day, free. For data engineers, architects and report developers. You leave with a plan for automated pipelines from lakehouse to Power BI.
Thinking of something else you need help with? Contact us to craft a customized workshop tailored to your needs.
Talk to an engineerWe design and optimize lakehouse architectures for the demanding parts: Unity Catalog governance at scale, declarative pipelines, and Mosaic AI for model serving and production agents. We support the entire Databricks lifecycle, from ingestion through Unity Catalog, ML workflows and GenAI, with production-oriented delivery from the first sprint.
Yes. Each workshop is one day and free, run with our engineers, and you walk away with a customized plan. The three Databricks sessions are Unity Catalog migration readiness, optimizing Databricks with budgets and budget policies, and building data pipelines with Delta Live Tables. Book the workshop through our contact page.
Yes. Unity Catalog governance is one of the four areas where we go deep: one governance plane across data and AI, migrated cleanly from legacy Hive metastores, with fine-grained access, row and column masking, lineage and audit. The free one-day Unity Catalog migration readiness workshop starts with an automated evaluation of your current Databricks architecture.
Cost discipline is built in: budgets, budget policies, serverless sizing and Photon tuning keep the lakehouse efficient as data volumes and workloads grow. Lakehouse optimization also covers liquid clustering and OPTIMIZE, workspace and cluster policies, Databricks SQL warehouses and team enablement, and a free one-day workshop covers budgets and budget policies.
Yes. Three free one-day Fabric sessions: Microsoft OneLake and Fabric migration readiness, Microsoft Fabric integrations with Azure services, and building data pipelines with Delta Storage Tables, from lakehouse to Power BI. If you need something else, contact us for a customized workshop.
Bregal Sagemount screens 7x more companies a week with an LLM deal sourcing system on Databricks, a Level 3 (L3) workflow. TechSmith saved 30 analyst hours a week with one data layer on Azure Databricks. FedEx improved package volume forecast accuracy by 20% with a machine learning environment on Azure Data Lake and Databricks, built with Oliver Wyman.