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Frequently asked questions

Lakehouse Optimizer

What is the Lakehouse Optimizer?

The Lakehouse Optimizer is a wellness platform that monitors Databricks environments, identifies issues in data pipelines, and provides intelligent recommendations to improve performance and reduce cloud costs, optimizing total cost of ownership (TCO).  

How do I get the Lakehouse Optimizer, and is there a free trial option?

The Lakehouse Optimizer is available for evaluation during a Proof of Value phase.  Additionally, it can be found in the Azure Marketplace to self-deploy & provision, or Blueprint can assist with a guided installation to get you up and running. For more information contact info@bpcs.com.

Does the Lakehouse Optimizer run in a Blueprint Environment?

No, the Lakehouse Optimizer will be deployed and provisioned on a Virtual Machine within your organization’s environment. 

Where can I find the latest feature updates for the Lakehouse Optimizer?
Why would I continue to use the Lakehouse Optimizer?

Users should continue to utilize the LHO to account for new factors such as new data sets, user patterns, and Databricks features that will impact the environment. Users need to monitor changes to ensure improvements. You take the intelligent recommendations provided by the LHO to evolve your environment and create policies for users to better interact with data in a more efficient way.

Do you have any customer stories who have used the LHO?

Here are some quick snapshots of LHO success stories. 

Still need help?

Our experts are always ready to assist.

For questions, feedback, or to report any issues, please contact the LHO team at support.lho@bpcs.com.

For urgent or time-sensitive issues, please use criticalsupport.lho@bpcs.com to notify the on-call LHO team member.

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