Azure Databricks
<p>Azure Databricks is a collaborative analytics platform that is fully integrated with Microsoft Azure. It’s an Apache Spark-based analytics platform optimized for Azure, designed in collaboration between Microsoft and Databricks.</p>
<p><strong>Key Features</strong><br />
<strong>1. Managed Apache Spark:</strong> Azure Databricks provides a managed Apache Spark environment, meaning users don’t have to deal with the intricacies of setting up, managing, and scaling Spark clusters.<br />
<strong>2. Collaborative Workspace:</strong> It offers notebooks that allow for collaborative coding and data exploration, enabling data scientists and engineers to work together.<br />
<strong>3. Integrated with Azure Services:</strong> It integrates seamlessly with various Azure data storage and AI services, making it easier to build end-to-end data solutions on Azure.<br />
<strong>4. Enterprise Security: </strong>Azure Databricks offers enterprise-grade security, including VNET integration, role-based access control, and Azure Active Directory integration.<br />
<strong>5. Optimized Performance:</strong> It is optimized for performance with features like Delta Lake that enhance data reliability and query performance.</p>
<p><a href="https://medium.com/@engrabdullahabdullah/azure-databricks-4f038d7b8769"><strong>Website</strong></a></p>