Databricks Delivers Security and Scalability Enhancements

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According to a recent press release, “Databricks, the leader in unified data analytics, today announced new features within its platform that provide deeper security controls, proactive administration and automation across the data and ML lifecycle. As data teams enable analytics and machine learning (ML) applications across their organizations, they require the ability to securely leverage data at massive scale. Doing this can be complex and risky, especially when operating in a multi-cloud environment. Security is fragmented, which makes corporate access policies difficult to extend, administration is reactive and inefficient, and devops processes like user management or cluster provisioning are manual and time consuming. Databricks’ Unified Data Analytics Platform addresses these challenges by helping organizations bring all their users and data together in a simple, scalable and secure service that can leverage the native capabilities of multiple clouds.”

David Meyer, senior vice president of Product Management at Databricks, commented, “The biggest challenge for organizations today is selecting an enterprise platform that can handle all of your data and all of the people that interact with it – today and in the future… Databricks is the only platform that has successfully achieved the massive scale and simplicity that enables enterprises to make data, business analytics and machine learning pervasive enterprise-wide. We’re committed to preserving this for our customers, regardless of if and how their cloud strategies evolve over time. These new features are a great example of how we’re doing that.”


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