Welcome to the Lakehouse Optimizer for Azure Databricks users! Our tool incorporates the deep experience of our team and leverages advanced analytics to increase cost transparency and enhance performance of your Azure Databricks environment. This is accomplished by consolidating all available consumption data, spark metrics and operating system-level data. The tool tracks Azure Databricks job-level metrics and leverages pattern-based analysis to alert you to outliers and optimization opportunities. This is enabled by a data enrichment process for the data across these internal platform data sources.
To learn more on how the Lakehouse Optimizer can help you, here are a few articles to get you started.
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Optimize your lakehouse costs, minimize your total cost of ownership, and drive more value from your cloud workspaces with the Lakehouse Optimizer by Blueprint. Our platform delivers optimization results in key areas across the Databricks Platform:
Efficiency
Provisioning workloads with the right quantity and type of resources to reduce waste and increase throughput
Performance
Right-sizing and properly configuring resources to reduce latency and improve data processing speedsĀ
Orchestration
Eliminating complexity and scheduling jobs in an efficient workflow creating a consistent and predictable contribution to resource consumption
To get started with the Lakehouse Optimizer, select your cloud provider below:
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Have questions or need help getting started? Please Contact Us for further discussion. We are here to help you make the most out of your Lakehouse Optimizer experience!
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