Nanda Vijaydev, Director of Solutions Management, BlueData and Anant Chintamaneni Vice President, Products, BlueData
Join this webinar to learn how to bring DevOps agility to data science and big data analytics.
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It’s no longer just about building a prototype, or provisioning Hadoop and Spark clusters. How do you operationalize the data science lifecycle? How can you address the needs of all your data science users, with various skillsets? How do you ensure security, sharing, flexibility, and repeatability?
In this webinar, we’ll discuss best practices to:
-Increase productivity and accelerate time-to-value for data science operations and engineering teams.
-Quickly deploy environments with data science tools (e.g. Spark, Kafka, Zeppelin, JupyterHub, H2O, RStudio).
-Create environments once and run them everywhere – on-premises or on AWS – with Docker containers.
-Provide enterprise-grade security, monitoring, and auditing for your data pipelines.
Don’t miss this webinar. Join us to learn about data science operations – including key roles, tools, and tips for success.