Debu Panda

To stay competitive, allowing data citizens across your organization to see near real-time analytics without worrying about data infrastructure management is crucial for your business.

Amazon Redshift is the most widely deployed data warehouse and is the cornerstone of AWS data lake strategy. Experience how quickly you can build your data warehouse with Amazon Redshift and gain insights using the integrated SQL query editor.

Using data in your data warehouse for machine learning use cases like churn prediction can be complicated because of the different tools and skills required. In this session, learn how with Amazon Redshift Machine Learning, you can use SQL to automatically create, train and apply machine learning (ML) models with the data in your data warehouse.

The new Amazon Redshift console modernizes the user interface and adds several features to improve the management of your Amazon Redshift clusters and workloads. Discover how the new unified dashboard helps you easily monitor the health and performance of Amazon Redshift clusters, and learn about the simplified management that reduces the number of clicks for several everyday operations.