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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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Expose low latency APIs from Deltalake for mobile apps and microservices

jcapplefields88
New Contributor II

My company is using Deltalake to extract customer insights and run batch scoring with ML models. I need to expose this data to some microservices thru gRPC and REST APIs. How to do this? I'm thinking to build Spark pipelines to extract teh data, store it in a fast cache like Redis and create some APIs in front. Is there a faster solution?

3 REPLIES 3

Atanu
Databricks Employee
Databricks Employee

I think your mentioned plan work with your use case for low latency . but you may go through this book if that helps. https://www.databricks.com/p/ebook/the-wisdom-of-transitioning-to-a-data-lakehouse-strategy?utm_medi...

Not super familiar but should give more insight.

jose_gonzalez
Databricks Employee
Databricks Employee

Hi @John Capplefield​,

Just a friendly follow-up. Did you have time to check Atanu's docs? do you still need help? please let us know.

Noopur_Nigam
Databricks Employee
Databricks Employee

Hi @John Capplefield​ Gentle follow-up, please let us know if you need further help on this.

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