It’s hard to believe that we are already three weeks into 2018. If you’re still struggling to get valuable insights from your data, now is the perfect time to try something new! Microsoft recently announced Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. With Azure Databricks, you can help your organization accelerate time to insights by providing a collaborative workspace and a high-performance analytics platform, all at the click of a button.
Spark™ on Azure enables data engineers and data scientists to increase performance and reduce costs by as much as 10-100x. How? Azure Databricks is the place to get Spark on Azure, optimized by the creators of Spark. It features optimized connectors to Azure storage platforms such as Data Lake and Blob Storage for the fastest possible data access and one-click startup directly from the Azure console, so you can get rolling faster. Notebooks on Databricks are live and shared so that everyone in your organization can work with your data with real-time collaboration. It also features an integrated debugging environment to let you analyze the progress of your Spark jobs from within interactive notebooks. The bonus? Common analytics libraries, such as the Python and R data science stacks are preinstalled so that you can use them with Spark to derive insights.
Read about it in the Azure blog.