Security Best Practices 101

Presented by

Kevin Clugage Sr Director, Partner Marketing, DatabricksAnna Shrestinian Product Manager, Databricks

About this talk

Azure Databricks is a Unified Analytics Platform built with a security-first mindset that enables you to run analytics and Machine Learning workloads at scale without compromising on security. Join Anna Shrestinian, Product Manager at Databricks, and Kevin Clugage, Sr Director of Partner Marketing, as they describes how a number of Azure-specific features fit into the Databricks model for data security, and how to utilize them with best practices designed to make it easier to manage and operate a secure environment. We will also feature a live demo of Azure Databricks to see a few concrete examples of these capabilities in action. In this webinar, you will learn: How to use Platform Security features for networking and storage with Azure Databricks such as VNET Injection, No Public IPs and Encryption. Deploy, Operate and Govern at Scale for Authentication and Authorization with Azure Databricks using Azure Active Directory single sign-on, Azure Data Lake Storage Gen2 credential passthrough and integration with Azure Key Vault.

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Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.