Recorded April 2018
Azure Databricks is an exciting new service in Azure for AI, data engineering, and data science. Built on Apache Spark, Azure Databricks is capable of processing and modeling data of all sizes and shapes, and it integrates seamlessly with Azure services. It also provides a collaborative environment where users can work together in a secure, interactive workspace. This unified platform can make it easier and provide a faster time-to-market for AI solutions built on Azure.
In BlueGranite's recent webinar, we gave a brief overview of Azure Databricks and explored where and how it fits into the Azure Data Platform. Our experts led a short demonstration of the core functionality within Azure Databricks, along with a quick look at the Azure Databricks workspace, connecting to and loading data from Azure Data sources, exploring, transforming, and modeling data in Databricks notebooks, and visualizing data with Power BI. Check out the recording below!
Mike Cornell, Senior Consultant
Mike is passionate about helping clients to solve business problems of varying size and complexity using data and analytics. His specializations include big data platforms, cloud data platforms, advanced analytics, and data visualization and exploration. Mike's technology interests include the Azure Data Platform, Databricks, Hadoop Data Platform, Spark, R and Python for data analysis, Power BI, and SQL Server. Check out Mike's personal blog here.