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Azure Databricks is now certified for the HITRUST Common Security Framework (HITRUST CSF®), the most widely coveted security accreditation for the healthcare industry. With this certification, health care customers can now use volumes of clinical data to drive innovation using Azure Databricks, without any worry about security and risk.
Azure Databricks Unit (DBU) pre-purchase plan is now available, helping to make Azure the most cost-effective cloud for your workloads.
Apache Spark is now accessible to the .NET developer ecosystem with .NET for Apache Spark.
Managed MLflow is now generally available on Azure Databricks and will use Azure Machine Learning to track the full ML lifecycle.
Azure Stream Analytics users can now partition output to Azure Blob storage based on custom date and time formats.
Azure Databricks now supports Azure Active Directory (Azure AD) conditional access, which allows administrators to control where and when users are permitted to sign in to Azure Databricks. Some of the common concerns this addresses include restricted sign-in access, limited network location access, managing the type of device access as well as restricted access to client applications.
Azure Databricks now supports Azure Key Vault backed secret scope. With this, Azure Databricks now supports two types of secret scopes—Azure Key Vault-backed and Databricks-backed.
Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse.
Azure Databricks is now generally available in additional regions—Japan, Canada, India, Australia Central and Australia Central 2. With these additions, Azure Databricks is now available in 24 regions.
The delta feature is now available in preview at no additional cost in the premium SKU of Azure Databricks. With delta, customers get better data reliability, improved performance for their jobs and queries, and opportunity to simplify their data pipelines. Delta is a transactional storage layer in Azure Databricks. With delta, we're enabling customers to simplify building high performance analytics solution at scale using Azure Databricks and get better reliability and higher performance on Spark jobs and queries.
Azure SQL Data Warehouse (SQL DW) customers can build near real-time analytics solutions with tighter integration with Azure Databricks.
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