If you are currently running an On-premise version of SQL Server, and looking to migrate to the cloud, what are your options? The answer, as any good consultant will tell you, depends. Are you looking to take advantage of built-in high availability, built-in disaster recovery, reduce operating costs, remove administration overhead, or modernize your data […]
Technology is just a tool, and a tool is only as useful as the person who wields it. How will you use the technology at your fingertips?
Azure Machine Learning service provides a cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models. Azure Machine Learning service fully supports open-source technologies. You can use tens of thousands of open-source Python packages with machine learning components. Examples are TensorFlow and scikit-learn. Support for rich tools makes it […]
As part of Azure Machine Learning service general availability, Microsoft has a new automated machine learning (automated ML) capabilities. Automated ML allows you to automate model selection and hyperparameter tuning, reducing the time it takes to build machine learning models from weeks or months to days, freeing up more time for them to focus on […]
Azure Databricks delivers Apache Spark-based analytics to the Microsoft Azure cloud. Azure Databricks is unique collaboration between Microsoft and Databricks, forged to deliver Databricks’ Apache Spark-based analytics offering to the Microsoft Azure cloud. Databricks was founded by the creators of Apache Spark with the goal of helping clients with cloud-based big data processing. Apache […]