Optimize your Azure data platforms for peak efficiency and performance
Managing data platform operational costs can be challenging, especially as organizations scale, onboard new use cases, or apply necessary changes. Ensono helps address these challenges through a comprehensive approach, leveraging Microsoft Azure technologies.
Our analysis covers all aspects of your platform, providing an action plan for iterative improvement and better long-term business outcomes.
Ensono’s Three Step Data Optimization Process:Discover: Ensono will analyze your data platform and code repositories to understand workload and cluster performance. We break down data platform spending and deliver recommendations for performance improvement and cost reduction.
Implement: Ensono can turn recommendations into actions, using custom tools to benchmark performance and optimize workloads.
Report: Ensono will document any additional data optimization recommendations for ongoing improvements.
Data Optimization Deliverables:
Reduced Operational Platform Costs: Lower operational costs for data lakes, platforms, lakehouses, or data warehouses.
Workload Improvement: Optimized workloads that reduce data latency and increase data pipeline performance.
Optimal Patterns: Reusable optimal patterns for future improvements and potential use cases.
Discovery: Identification of future improvements and potential use cases.
For more information about Ensono's Data Optimization services, visit Ensono.com or contact your sales representative.
Pricing will vary based on the scope of the engagement.