Databricks
Accelerate your data strategy with Eraneos and Databricks.
Eraneos can leverage Databricks for you to provide a seamless fusion of analytics, AI, and data engineering on a unified platform. Our strategic partnership with Databricks can propel your organization towards data-driven success. When customers look to run a robust and scalable Cloud Data Platform, Databricks is one of the top choices.
Eraneos and Databricks
When looking for a partner to help you use Databricks, choose Eraneos. We have deployed and are using Databricks at many of our clients. Our Data & AI consultants are seasoned inspirators who would like to share their expertise with you. A large team of data engineers, solution architects, Machine Learning and (Generative) AI professionals is at your disposal. This makes Eraneos the one stop shop to help with all aspects of your data Lakehouse.
Data Platform solutions with Databricks
We offer several services using Databricks
Platform deployment
Eraneos offers a quick start in the cloud with its scalable Data Hub offering. Our Solution Architects and Engineers are experienced in designing and deploying Databricks in a secure and efficient way. Naturally, we can perform this with the cloud provider of your choice and deliver the platform and networking as code.
Data Engineering
For numerous clients we have delivered batch & streaming data pipelines. Eraneos has a long history in using Spark-based compute, and can help scale your compute and optimize data workloads. Our engineers use proven ways of working for pipeline development & CI/CD and know the ins and outs of Delta Live Tables.
Data Management
We can help you manage the availability and security of data across your analytics platform. Our consultants can help you manage your data, connections and models in Unity Catalog so that your teams can easily collaborate across the different data practices.
ML Flow
We can help you manage the AI & ML lifecycle using MLflow. Our scientists have successfully implemented experiment tracking and model management using Databricks Managed MLflow.
Navigating Data Management with Microsoft Purview
As our clients see their data volume and velocity grow, there is a big need to establish a catalogue of these valuable assets. Having implemented several Azure Data Hubs, sooner or later the default Microsoft tooling appears as an option. Will it help us find the way in our ‘data estate’? This story will teach you what to expect when you are the one setting it up: what design considerations to make before you start.
Data
Data plays a crucial role in today’s business world as it provides insights and intelligence to make informed decisions, drive growth and improve operations. Companies that leverage data effectively have a competitive advantage and can gain a better understanding of their customers, market trends and business performance. The ability to collect, process, and analyze data has become an essential aspect of success in the modern business landscape.
Pascal Greuter
Associate Partner – Data & AI