Data Analytics Environment Support in Azure and Databricks for an Agribusiness Giant

01The Client

One of Brazil's largest producers of sugar, ethanol, and bioenergy, with a Data Analytics environment in Microsoft Azure and Databricks.

02The Challenge

• Need to ensure continuous availability, stability, and performance of the cloud analytics environment
• Management and maintenance of complex data pipelines in a large-scale Databricks environment
• Need for specialized support for evolution and incident resolution in the Azure environment
• Difficulty keeping the internal team updated with the constant evolution of cloud platforms

03Implemented Solution

• Continuous support of the Data Analytics environment in Microsoft Azure and Databricks
• Proactive monitoring of data pipelines, clusters, and workloads in Databricks
• Incident management, troubleshooting, and performance optimization of the cloud environment
• Support for the evolution of ETL/ELT pipelines and the platform's data architecture

04Strategic Differentials

• Specialized team with expertise in Azure and Databricks applied to the agribusiness context
• Proactive support model with continuous monitoring, reducing incident resolution time
• Long-term partnership focused on continuous environment evolution, not just corrective maintenance
• Accumulated business and architecture knowledge, ensuring contextualized support

05Results Achieved

• High availability and stability of the business-critical analytics environment
• Reduced incident resolution time with specialized and proactive support
• Continuous environment evolution without the need to expand the internal data team
• Greater reliability of data and analytical processes supporting operational and strategic decisions