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Azure Databricks

Score8.5 out of 10

59 Reviews and Ratings

What is Azure Databricks?

Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve total cost of ownership (TCO).

It is presented as an open and unified platform to run all types of analytics workloads, whether as a data scientist, data engineer, or a business analyst. Choice of language can include Python, Scala, R, and SQL. It provides version control of notebooks with GitHub and Azure DevOps.

It provides advanced automated machine learning capabilities using the integrated Azure Machine Learning to identify suitable algorithms and hyperparameters. The solution helps to simplify management, monitoring, and updating of machine learning models deployed from the cloud to the edge. Azure Machine Learning also provides a central registry for experiments, machine learning pipelines, and models.

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Technical Details

Technical Details
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FAQs

What is Azure Databricks?
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve total cost of ownership (TCO).
What is Azure Databricks's best feature?
Reviewers rate Data Encryption highest, with a score of 9.4.