Microsoft recently announced the stirring combination of Apache Spark Analytics platform and the Azure cloud at the Microsoft Connect();.
Presenting, Azure Databricks!
Azure Databricks is a close collaboration between Microsoft and Databricks to bring about benefits not present in any other cloud platforms.
This is the very first time that an Apache Spark platform provider ’Databricks’ has partnered with a cloud provider ‘Microsoft Azure’ to bring about a highly optimized platform for data analytics workloads.
Data management on the cloud has opened up pathways in the field of Artificial Intelligence, predictive analytics, and for real-time applications. Apache Spark has been everyone’s favorite platform to implement these cutting-edge analytics applications, due to its vast community and a worldwide enterprise network. Its ability to run powerful analytics algorithms at scale, allows businesses to derive real-time insights with ease. However, the management and deployment of Spark within the enterprise use cases, which includes a large number of users and has strong security requirements, was a bit challenging. Azure Databricks comes as a solution to this, by providing business users with a platform to work effectively with the data professionals –data scientists and data engineers.
Source: https://azure.microsoft.com/en-us/blog/a-technical-overview-of-azure-databricks/
Azure Databricks has an architecture which allows customers to effectively and easily connect Azure Databricks to any of the storage resource present in their account. For instance, an existing subscription of Blob store or Data Lake.
Also, the Databricks is centrally managed through the Azure control center. Hence, it requires no additional setup.
Azure Databricks has been appended to the best of Microsoft Azure features. Some of them are listed below:
Azure has many other features that have been integrated into the Azure Databricks. For a more detailed overview of Azure Databricks you can visit the official link here.
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