We accelerate your migration efforts to the Databricks lakehouse, a modern, performant, open standards based cloud platform
We accelerate your migration efforts to the Databricks lakehouse, a modern, performant, open standards based cloud platform
Our global team of highly trained, certified, and accredited consultants and project managers are working on and managing the most complex and challenging Databricks projects worldwide today. Our technical experts when working on projects, collaborate frequently with the Databricks product and engineering teams and are often an extension of Databricks Professional Services Organization.
With our HQ in North America and delivery centers in India and the UK, we are able to service the needs of our global customers 24 X 7. All of our resources, go through the same rigorous training and certification process, before they earn a place on projects. This global delivery model, enables us to pass on cost savings to our customers, without compromising on technical competencies.
We are a company founded by technocrats who live and breathe data. We take immense pride in staying focused on solving Data & AI and Business Intelligence problems. There is no better time than now, to modernize your legacy and archaic Data & AI platforms. Our team of experts is constantly acquiring expertise on cutting-edge technologies and will empower you with the knowledge and capabilities you seek, to stay ahead of your competition
Our solution and migration accelerators speed up project implementation timelines by at least 5X, while reducing the implementation cost by 40-80%, compared to manual and traditional approaches.
We take pride in continuously securing industry-leading CSAT and NPS scores. Putting our customer's needs first is a cultural principle that all at Computomic practice and live by every day.
With a well-defined and systematic methodology that incorporates our experiences from working on hundreds of projects, we can conceptualize, architect, and implement Databricks projects rapidly.
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