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! We 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 team that started the Spark research project at UC Berkeley that later became Apache Spark. It features optimized connectors to Azure storage platforms (e.g. 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.
We know that protecting your data and business is also critical with any analytics platform. With native Azure Active Directory integration, get peace of mind that you are building on a secure, trusted cloud with fine-grained user permissions, enabling secure access to Databricks Notebooks, clusters jobs and data.
Now is the perfect time to get started. Not sure how? Register for our January 25th webinar and we’ll walk you through the benefits of Spark on Azure, and how to get started with Azure Databricks.
Learn more about Azure Databricks today.