Azure Databricks vs Azure Synapse

<h1>Introduction</h1> <p><strong>Azure Databricks: A Deep Dive</strong></p> <p>Azure Databricks, built on Apache Spark, stands as a powerful analytics platform optimized for Microsoft Azure. It&rsquo;s designed to facilitate seamless collaboration among data scientists, data engineers, and business analysts. The platform offers a dynamic workspace that fosters interactive cooperation, ensuring that teams can efficiently work together.</p> <p>Azure Databricks has earned its reputation as a powerhouse for machine learning development. With ML-optimized runtimes and GPU support, it&rsquo;s a prime choice for organizations with a focus on machine learning. Furthermore, it&rsquo;s closely integrated with Azure Machine Learning, making it a versatile tool for various analytics scenarios. Notably, it places a strong emphasis on version control and continuous integration/continuous deployment (CICD) capabilities, ensuring data science projects can maintain efficiency and accuracy.</p> <p><a href="https://soumakdas94.medium.com/azure-databricks-vs-azure-synapse-a7f9eab98f4e"><strong>Read More</strong></a></p>