We have seen what Azure Databricks is and the reasons why it is the best analytics tool. Now, let us move further with a few more details about the analytics tool. Here are some of the rich features of Azure Databricks,
Optimized Apache Spark environment : It has a secure and reliable production environment that is managed and supported by Spark experts. It allows you to seamlessly integrate with open source libraries by providing the latest versions of Apache Spark. It can provide you a zero-management cloud platform that includes fully managed Spark clusters, interactive workspace for exploration and visualization, and a platform for powering your favorite Spark-based applications.
Interactive workspace : You can collaborate effectively and boost productivity by using interactive workspace and notebook experience. This interactive workspace feature enables data scientists, data engineers, and business analysts to collaborate and work efficiently. The collaborative and integrated environment of Azure Databricks streamlines the process of exploring data, prototyping, and running data-driven applications in Spark.
Databricks Runtime : Natively built for the Azure cloud, the serverless option helps data scientists iterate quickly as a team by completely removing the infrastructure complexity and the need for specialized expertise to set up and configure your data infrastructure.
Machine Learning Integration : Through the rich integration with Power BI, it allows you to discover and share your impactful insights quickly and easily. You can Access advanced automated machine learning capabilities using the integrated Azure Machine Learning to identify suitable algorithms and hyperparameters swiftly. It also provides a central registry for your experiments, machine learning pipelines, and models.