Databricks, engineered for the long run.
Key2 is a Databricks consulting partner. We design lakehouses, build the pipelines that feed them and set up the governance that lets many teams share one platform safely.
What Databricks is.
Databricks is a data and AI platform built on the lakehouse: open-format storage with the reliability of a warehouse, and one engine for data engineering, SQL analytics, data science and machine learning. On Microsoft’s cloud it runs as Azure Databricks.
Teams choose it when data volume, variety or the need for machine learning outgrow a traditional warehouse, and when they want engineers, analysts and data scientists working on the same data rather than on copies of it.
Why choose it.
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Unified
Batch and streaming, SQL and Python, BI and machine learning on one platform and one copy of the data.
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Scalable
Compute scales out for heavy jobs and back down when they finish. We have run Databricks for healthcare data management at very large scale.
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Collaborative
Shared notebooks, jobs and one catalog, with fine-grained controls such as attribute-based access policies, so many teams can work on one platform safely.
What we build on Databricks.
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Lakehouse architecture
Bronze, silver and gold layers with clear contracts between them, so raw data, cleaned data and business-ready data each have an owner.
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Pipelines
Ingestion and transformation jobs that are tested, monitored and recoverable, for batch and streaming sources alike.
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Governance
A catalog, access policies and lineage that satisfy auditors without slowing analysts down.
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Migration
Moves from legacy warehouses and on-premises systems, planned so that reports keep working while the change happens.
Two examples of the work.
Public engagements, described without client names.
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Healthcare
EHR modernization for an enterprise health system
We modernized electronic health record (EHR) data on Databricks for an enterprise health system. Work of this kind moves clinical data into governed lakehouse layers, with access rules strict enough for patient information.
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Public sector
Data integration and spatial mapping for a large government agency
We integrated data sources and built spatial mapping on Databricks for a large government agency, so operational records can be read on a map as well as in a table.
Plan your Databricks platform with a partner.
Tell us what you run today and what you need Databricks to do, through the contact form or by phone.