AWS Big Data Blog
Author: Raghavarao Sodabathina
Raghavarao Sodabathina is a Principal Solutions Architect at AWS, focusing on Data Analytics, AI/ML, and Serverless Platform. He engages with customers to create innovative solutions that address customer business problems and to accelerate the adoption of AWS services. In his spare time, Raghavarao enjoys spending time with his family, reading books, and watching movies.
Federate access to Amazon SageMaker Unified Studio with AWS IAM Identity Center and Ping Identity
In this post, we show how to set up workforce access with SageMaker Unified Studio using Ping Identity as an external IdP with IAM Identity Center.
Federate access to SageMaker Unified Studio with AWS IAM Identity Center and Okta
This post shows step-by-step guidance to setup workforce access to Amazon SageMaker Unified Studio using Okta as an external Identity provider with AWS IAM Identity Center.
Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications
Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we […]
Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1
We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being […]