Databricks consulting
As a Databricks consulting partner, we design and build lakehouses, pipelines and data governance on Databricks and Azure Databricks, for organizations whose data is large, sensitive or both.
What Databricks is
Databricks is a data and AI platform built around the lakehouse: open table formats on low-cost cloud storage, with one platform for data engineering, SQL analytics, data science and machine learning.
On Microsoft Azure it runs as Azure Databricks, a first-party Azure service that works with Azure Data Lake Storage, Azure Data Factory and Power BI. Unity Catalog governs tables, files and models in one place, down to fine-grained, attribute-based access rules.
Why organizations choose Databricks
Three qualities explain most of its adoption.
- Unified
- Engineering, analytics and machine learning work on the same governed data in the same workspace, instead of in separate systems that drift apart.
- Scalable
- Compute scales with the job, from a small scheduled pipeline to very large-scale processing, and scales back down when the work is done.
- Collaborative
- Notebooks, SQL and dashboards are shared across data engineers, analysts and data scientists, with version control and permissions built in.
What we build on Databricks
From the first architecture decision to the pipelines that run every night.
Lakehouse architecture
Bronze, silver and gold layers designed around how the data will be used, with naming, ownership and retention settled up front.
Data engineering and integration
Pipelines from source systems into the lakehouse, scheduled or incremental, tested and monitored.
Governance and security
Unity Catalog set up so sensitive data is protected by design, with access rules an auditor can read.
Analytics and reporting
SQL warehouses and Power BI connected to curated lakehouse tables, so reporting runs on the same numbers as everything else.
Work examples
Selected work on Databricks:
Healthcare
EHR modernization for an enterprise health system
Modernizing how a large health system manages and uses its electronic health record data, on Databricks.
Public sector
Data integration and spatial mapping for a large government agency
Bringing an agency’s data together on Databricks and adding spatial mapping, so location becomes part of the analysis.
Healthcare
Very large-scale data management
Managing healthcare data at a very large scale on Databricks.
Planning a Databricks project?
Whether you are choosing a platform, starting a lakehouse or rescuing one, a short conversation is the fastest way to see where we can help.