Use a cloud Provider
First, we select a reliable cloud provider like Azure or AWS that align to your Databricks infrastructure
Configure Setting
Next we configure the cluster, region and security settings for your organisation
Identify and Connect Data Sources
Then we use the various data sources like databases, warehouses, cloud storage platforms and data lakes and set the secure connection between them.
Handle Clusters
Now our developers use the Databricks tools to configure, launch and monitor the clusters and optimize the resource allocation and cost efficiency.
Data Transformation
We create the pipelines to ingest data, streaming data pipelines and handle real-time data processing. Then we transform the data for analysis purposes.
Develop and Run Workloads
At this stage, we create the analytics pipelines, processing scripts and ML models on Databricks systems. Our German-based professionals automate the data processing tasks in intervals and handle your workloads.
Integration with existing BI tools
Now, our developers integrate the databricks with existing BI tools and create a comprehensive analytics ecosystem.
Monitoring and Optimization
Lastly, we monitor your system, evaluate its data quality and cluster performance and maintain continuous performance. Our experts also optimize the data processing pipelines and bring value to your business.