VGW
VGW: Data migration & modelling
Migration of VGW's core product to Snowflake and the adoption of the new data framework.
Read the full case study →Databricks unifies all your data sources into one platform making it easier to manage, analyse and query your data.
Bring your data, AI and governance processes together to get trusted, high-quality insights out of your information and eliminate silos across your business.
In-built efficiencies help you optimise your workflows and cloud usage and reduce data infrastructure complexity.
From dashboards to AI models, you can enforce policies and gain transparency of how your data flows, so you can stay secure and compliant.
Solve your domain-specific problems (?) and build AI products by combining generative AI models with your data.
Using the Databricks platform, our industry knowledge and deep expertise, we can help you make the most of your Databricks Lakehouse platform. Whether you’re looking to migrate to, implement or get more value out of your Databricks platform, we can help you.
Here are some examples of how Mechanical Rock has successfully implemented the Databricks platform into customer operations:
VGW
Migration of VGW's core product to Snowflake and the adoption of the new data framework.
Read the full case study →University of Western Australia
Implementation of a robust and secure reference Lakehouse Architecture that can be scaled across all domains to modernise their data platform as part of a bold innovation strategy.
Read the full case study →Whether you’re looking to migrate from legacy workloads, build new data products or pipelines, get the most out of your existing Databricks platform or just want to have a chat about how Databricks can help your company, we’re here to help.