Azure Databricks is a cloud-based platform for big data processing and analytics, developed by Databricks in collaboration with Microsoft. It is built on Apache Spark and provides a collaborative, web-based environment for data engineers, data scientists, and business analysts to work with big data.
Databricks provides a number of key features, including:
- Notebook-based environment: Databricks provides a web-based notebook interface for writing, running, and sharing code, making it easy for data scientists and engineers to collaborate and work with big data.
- Scalable compute: Databricks can handle big data processing and analytics, making it easy to scale up or down as needed to meet the demands of your workloads.
- Integrations with Azure services: Databricks integrates seamlessly with other Azure services, such as Azure SQL Data Warehouse, Azure Storage, and Azure Machine Learning, making it easy to use the tools and services you already know and love.
- Advanced analytics and machine learning: Databricks provides a wide range of advanced analytics and machine learning capabilities, including support for deep learning frameworks such as TensorFlow and PyTorch.
- Secure and managed platform: Databricks is built on Azure, so it provides enterprise-grade security and management features, such as role-based access control, data protection, and compliance with industry standards.
Databricks is a powerful platform for big data processing and analytics, offering a collaborative environment, scalable compute, and advanced analytics and machine learning capabilities, all on a secure and managed platform.